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ALPAKA_FN_HOST auto end(TView &view) -> Iterator< TView >
Definition: Iterator.hpp:139
ALPAKA_FN_HOST auto begin(TView &view) -> Iterator< TView >
Definition: Iterator.hpp:133
The accelerator traits.
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:102
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:114
The alpaka accelerator library.
ALPAKA_FN_HOST auto getDevCount(TPlatform const &platform)
Definition: Traits.hpp:55
ALPAKA_FN_HOST auto getDevByIdx(TPlatform const &platform, std::size_t const &devIdx) -> Dev< TPlatform >
Definition: Traits.hpp:62
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b/TaskKernelFpgaSyclIntel_8hpp.html index 35e1bcb2c9ea..940e0851d2f6 100644 --- a/TaskKernelFpgaSyclIntel_8hpp.html +++ b/TaskKernelFpgaSyclIntel_8hpp.html @@ -96,7 +96,7 @@ diff --git a/TaskKernelFpgaSyclIntel_8hpp_source.html b/TaskKernelFpgaSyclIntel_8hpp_source.html index 29f3ac239c57..e6a88f72d57c 100644 --- a/TaskKernelFpgaSyclIntel_8hpp_source.html +++ b/TaskKernelFpgaSyclIntel_8hpp_source.html @@ -116,7 +116,7 @@ diff --git a/TaskKernelGenericSycl_8hpp.html b/TaskKernelGenericSycl_8hpp.html index 0857d9efa128..234b109ccf17 100644 --- a/TaskKernelGenericSycl_8hpp.html +++ b/TaskKernelGenericSycl_8hpp.html @@ -114,7 +114,7 @@ diff --git a/TaskKernelGenericSycl_8hpp_source.html b/TaskKernelGenericSycl_8hpp_source.html index 822f16411b5c..fbdad873680e 100644 --- a/TaskKernelGenericSycl_8hpp_source.html +++ b/TaskKernelGenericSycl_8hpp_source.html @@ -395,7 +395,7 @@ diff --git a/TaskKernelGpuCudaRt_8hpp.html b/TaskKernelGpuCudaRt_8hpp.html index 579c90550518..9a1cd55cb706 100644 --- a/TaskKernelGpuCudaRt_8hpp.html +++ b/TaskKernelGpuCudaRt_8hpp.html @@ -113,7 +113,7 @@ diff --git a/TaskKernelGpuCudaRt_8hpp_source.html b/TaskKernelGpuCudaRt_8hpp_source.html index 17bb9dfffa3a..398f9fabb1ea 100644 --- a/TaskKernelGpuCudaRt_8hpp_source.html +++ b/TaskKernelGpuCudaRt_8hpp_source.html @@ -116,7 +116,7 @@ diff --git a/TaskKernelGpuHipRt_8hpp.html b/TaskKernelGpuHipRt_8hpp.html index 37dcdb209f8d..71c57eb0b66d 100644 --- a/TaskKernelGpuHipRt_8hpp.html +++ b/TaskKernelGpuHipRt_8hpp.html @@ -97,7 +97,7 @@ diff --git a/TaskKernelGpuHipRt_8hpp_source.html b/TaskKernelGpuHipRt_8hpp_source.html index e53ee5ffe916..6b935cfc0ea9 100644 --- a/TaskKernelGpuHipRt_8hpp_source.html +++ b/TaskKernelGpuHipRt_8hpp_source.html @@ -114,7 +114,7 @@ diff --git a/TaskKernelGpuSyclIntel_8hpp.html b/TaskKernelGpuSyclIntel_8hpp.html index 27c69eb80055..13044a739f50 100644 --- a/TaskKernelGpuSyclIntel_8hpp.html +++ b/TaskKernelGpuSyclIntel_8hpp.html @@ -96,7 +96,7 @@ diff --git a/TaskKernelGpuSyclIntel_8hpp_source.html b/TaskKernelGpuSyclIntel_8hpp_source.html index 1f4a2264d1d9..3372b447629a 100644 --- a/TaskKernelGpuSyclIntel_8hpp_source.html +++ b/TaskKernelGpuSyclIntel_8hpp_source.html @@ -116,7 +116,7 @@ diff --git a/TaskKernelGpuUniformCudaHipRt_8hpp.html b/TaskKernelGpuUniformCudaHipRt_8hpp.html index 0a6db752f8fa..222263c372cf 100644 --- a/TaskKernelGpuUniformCudaHipRt_8hpp.html +++ b/TaskKernelGpuUniformCudaHipRt_8hpp.html @@ -178,7 +178,7 @@ diff --git a/TaskKernelGpuUniformCudaHipRt_8hpp_source.html b/TaskKernelGpuUniformCudaHipRt_8hpp_source.html index 6017c8bb02ab..31852fca7be0 100644 --- a/TaskKernelGpuUniformCudaHipRt_8hpp_source.html +++ b/TaskKernelGpuUniformCudaHipRt_8hpp_source.html @@ -544,7 +544,7 @@ diff --git a/TestAccs_8hpp.html b/TestAccs_8hpp.html index dcd22ae343bb..130da527517b 100644 --- a/TestAccs_8hpp.html +++ b/TestAccs_8hpp.html @@ -185,7 +185,7 @@ diff --git a/TestAccs_8hpp_source.html b/TestAccs_8hpp_source.html index 428ce5a89613..a6d777a72d6e 100644 --- a/TestAccs_8hpp_source.html +++ b/TestAccs_8hpp_source.html @@ -304,7 +304,7 @@ diff --git a/TestDims_8hpp.html b/TestDims_8hpp.html index 395c1faaeafc..95d2a199906e 100644 --- a/TestDims_8hpp.html +++ b/TestDims_8hpp.html @@ -122,7 +122,7 @@ diff --git a/TestDims_8hpp_source.html b/TestDims_8hpp_source.html index 4335597704e9..b41d91c71959 100644 --- a/TestDims_8hpp_source.html +++ b/TestDims_8hpp_source.html @@ -136,7 +136,7 @@ diff --git a/TestIdxs_8hpp.html b/TestIdxs_8hpp.html index acd6b1017be5..10c6055f077a 100644 --- a/TestIdxs_8hpp.html +++ b/TestIdxs_8hpp.html @@ -116,7 +116,7 @@ diff --git a/TestIdxs_8hpp_source.html b/TestIdxs_8hpp_source.html index 4be792b2f230..e8b4380bfafa 100644 --- a/TestIdxs_8hpp_source.html +++ b/TestIdxs_8hpp_source.html @@ -123,7 +123,7 @@ diff --git a/ThreadPool_8hpp.html b/ThreadPool_8hpp.html index 31737ea92874..21a7f8905090 100644 --- a/ThreadPool_8hpp.html +++ b/ThreadPool_8hpp.html @@ -123,7 +123,7 @@ diff --git a/ThreadPool_8hpp_source.html b/ThreadPool_8hpp_source.html index 099c2c64566a..3182045d69d8 100644 --- a/ThreadPool_8hpp_source.html +++ b/ThreadPool_8hpp_source.html @@ -193,7 +193,7 @@ diff --git a/Transform_8hpp.html b/Transform_8hpp.html index 0034e619b3c1..dc2a5d1732f1 100644 --- a/Transform_8hpp.html +++ b/Transform_8hpp.html @@ -121,7 +121,7 @@ diff --git a/Transform_8hpp_source.html b/Transform_8hpp_source.html index ae721e844b32..f402eba38306 100644 --- a/Transform_8hpp_source.html +++ b/Transform_8hpp_source.html @@ -119,7 +119,7 @@ diff --git a/TypeListOps_8hpp.html b/TypeListOps_8hpp.html index c2c2b369300c..845c6d551007 100644 --- a/TypeListOps_8hpp.html +++ b/TypeListOps_8hpp.html @@ -128,7 +128,7 @@ diff --git a/TypeListOps_8hpp_source.html b/TypeListOps_8hpp_source.html index 462c841abd05..b70cd914f841 100644 --- a/TypeListOps_8hpp_source.html +++ b/TypeListOps_8hpp_source.html @@ -136,7 +136,7 @@ diff --git a/UniformCudaHip_8hpp.html b/UniformCudaHip_8hpp.html index f7b7c39e67ac..063a2d921895 100644 --- a/UniformCudaHip_8hpp.html +++ b/UniformCudaHip_8hpp.html @@ -308,7 +308,7 @@

diff --git a/UniformCudaHip_8hpp_source.html b/UniformCudaHip_8hpp_source.html index eb20b2360ce5..978d87683546 100644 --- a/UniformCudaHip_8hpp_source.html +++ b/UniformCudaHip_8hpp_source.html @@ -216,7 +216,7 @@ diff --git a/Unique_8hpp.html b/Unique_8hpp.html index fa2405339c49..5c9b0ad322c7 100644 --- a/Unique_8hpp.html +++ b/Unique_8hpp.html @@ -127,7 +127,7 @@ diff --git a/Unique_8hpp_source.html b/Unique_8hpp_source.html index bd1bd6859d0c..35abd0d93ec3 100644 --- a/Unique_8hpp_source.html +++ b/Unique_8hpp_source.html @@ -140,7 +140,7 @@ diff --git a/Unreachable_8hpp.html b/Unreachable_8hpp.html index 27180d53f952..d8b86a1295fc 100644 --- a/Unreachable_8hpp.html +++ b/Unreachable_8hpp.html @@ -134,7 +134,7 @@

diff --git a/Unreachable_8hpp_source.html b/Unreachable_8hpp_source.html index efbd0477aaec..06a352ea648c 100644 --- a/Unreachable_8hpp_source.html +++ b/Unreachable_8hpp_source.html @@ -119,7 +119,7 @@ diff --git a/Unroll_8hpp.html b/Unroll_8hpp.html index 9d9a22bda458..2e72647f29a2 100644 --- a/Unroll_8hpp.html +++ b/Unroll_8hpp.html @@ -129,7 +129,7 @@

    - +
diff --git a/Unroll_8hpp_source.html b/Unroll_8hpp_source.html index 4d27b9b5c646..e5ad691fc773 100644 --- a/Unroll_8hpp_source.html +++ b/Unroll_8hpp_source.html @@ -119,7 +119,7 @@ diff --git a/Utility_8hpp.html b/Utility_8hpp.html index 74b648160811..001e78a15225 100644 --- a/Utility_8hpp.html +++ b/Utility_8hpp.html @@ -125,7 +125,7 @@ diff --git a/Utility_8hpp_source.html b/Utility_8hpp_source.html index ddb9c4a1c91b..5a3b852dabb7 100644 --- a/Utility_8hpp_source.html +++ b/Utility_8hpp_source.html @@ -160,7 +160,7 @@ diff --git a/Vec_8hpp.html b/Vec_8hpp.html index 1e1129336576..14b942f1035d 100644 --- a/Vec_8hpp.html +++ b/Vec_8hpp.html @@ -182,7 +182,7 @@ diff --git a/Vec_8hpp_source.html b/Vec_8hpp_source.html index 8463bed88c21..9da2c154c144 100644 --- a/Vec_8hpp_source.html +++ b/Vec_8hpp_source.html @@ -919,8 +919,8 @@
ALPAKA_NO_HOST_ACC_WARNING constexpr ALPAKA_FN_HOST_ACC auto foldr(TFnObj const &, T const &t) -> T
Definition: Fold.hpp:13
ALPAKA_FN_HOST auto end(TView &view) -> Iterator< TView >
Definition: Iterator.hpp:139
ALPAKA_FN_HOST auto begin(TView &view) -> Iterator< TView >
Definition: Iterator.hpp:133
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:102
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto any(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:125
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:114
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto any(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:137
The alpaka accelerator library.
ALPAKA_NO_HOST_ACC_WARNING constexpr ALPAKA_FN_HOST_ACC auto elementwise_max(Vec< TDim, TVal > const &p, Vecs const &... qs) -> Vec< TDim, TVal >
Definition: Vec.hpp:644
ALPAKA_FN_HOST_ACC Complex< T > operator-(Complex< T > const &val)
Unary minus.
Definition: Complex.hpp:188
@@ -954,7 +954,7 @@ diff --git a/Vectorize_8hpp.html b/Vectorize_8hpp.html index 5ba036131256..1115588a75d7 100644 --- a/Vectorize_8hpp.html +++ b/Vectorize_8hpp.html @@ -144,7 +144,7 @@ diff --git a/Vectorize_8hpp_source.html b/Vectorize_8hpp_source.html index afe28d74f4b9..1cde41f2695e 100644 --- a/Vectorize_8hpp_source.html +++ b/Vectorize_8hpp_source.html @@ -456,7 +456,7 @@ diff --git a/ViewAccessOps_8hpp.html b/ViewAccessOps_8hpp.html index 86e006d57f7d..1f9b6a505316 100644 --- a/ViewAccessOps_8hpp.html +++ b/ViewAccessOps_8hpp.html @@ -127,7 +127,7 @@ diff --git a/ViewAccessOps_8hpp_source.html b/ViewAccessOps_8hpp_source.html index b1ed23c74698..ea806519414d 100644 --- a/ViewAccessOps_8hpp_source.html +++ b/ViewAccessOps_8hpp_source.html @@ -245,7 +245,7 @@
constexpr bool isView
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:102
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:114
typename trait::IdxType< T >::type Idx
Definition: Traits.hpp:29
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_HOST_ACC auto getExtents(T const &object) -> Vec< Dim< T >, Idx< T >>
Definition: Traits.hpp:59
ALPAKA_FN_HOST auto getPitchesInBytes(TView const &view) -> Vec< Dim< TView >, Idx< TView >>
Definition: Traits.hpp:199
@@ -271,7 +271,7 @@ diff --git a/ViewConst_8hpp.html b/ViewConst_8hpp.html index aba60d9434e0..47fe4416cfef 100644 --- a/ViewConst_8hpp.html +++ b/ViewConst_8hpp.html @@ -147,7 +147,7 @@ diff --git a/ViewConst_8hpp_source.html b/ViewConst_8hpp_source.html index 5338db3d2f1b..9919dfd6d82d 100644 --- a/ViewConst_8hpp_source.html +++ b/ViewConst_8hpp_source.html @@ -245,7 +245,7 @@ diff --git a/ViewPlainPtr_8hpp.html b/ViewPlainPtr_8hpp.html index 84fbab08a410..d75261856bd6 100644 --- a/ViewPlainPtr_8hpp.html +++ b/ViewPlainPtr_8hpp.html @@ -160,7 +160,7 @@ diff --git a/ViewPlainPtr_8hpp_source.html b/ViewPlainPtr_8hpp_source.html index 88c7307b39eb..065d4901ec1f 100644 --- a/ViewPlainPtr_8hpp_source.html +++ b/ViewPlainPtr_8hpp_source.html @@ -386,7 +386,7 @@ diff --git a/ViewStdArray_8hpp.html b/ViewStdArray_8hpp.html index ca8de9805542..2a2edc15935c 100644 --- a/ViewStdArray_8hpp.html +++ b/ViewStdArray_8hpp.html @@ -139,7 +139,7 @@ diff --git a/ViewStdArray_8hpp_source.html b/ViewStdArray_8hpp_source.html index b7ab70544e51..e672b186016b 100644 --- a/ViewStdArray_8hpp_source.html +++ b/ViewStdArray_8hpp_source.html @@ -215,7 +215,7 @@ diff --git a/ViewStdVector_8hpp.html b/ViewStdVector_8hpp.html index 51da14ca3e7b..5fc2d116394b 100644 --- a/ViewStdVector_8hpp.html +++ b/ViewStdVector_8hpp.html @@ -139,7 +139,7 @@ diff --git a/ViewStdVector_8hpp_source.html b/ViewStdVector_8hpp_source.html index 38492ce7a95e..12e89c236388 100644 --- a/ViewStdVector_8hpp_source.html +++ b/ViewStdVector_8hpp_source.html @@ -213,7 +213,7 @@ diff --git a/ViewSubView_8hpp.html b/ViewSubView_8hpp.html index c1376fa0f0b9..a76e85aa958e 100644 --- a/ViewSubView_8hpp.html +++ b/ViewSubView_8hpp.html @@ -157,7 +157,7 @@ diff --git a/ViewSubView_8hpp_source.html b/ViewSubView_8hpp_source.html index bec28a8b77b8..7cb71bdb90a9 100644 --- a/ViewSubView_8hpp_source.html +++ b/ViewSubView_8hpp_source.html @@ -328,7 +328,7 @@
constexpr auto offset
Definition: Extent.hpp:34
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:102
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:114
The alpaka accelerator library.
typename trait::IdxType< T >::type Idx
Definition: Traits.hpp:29
typename trait::DevType< T >::type Dev
The device type trait alias template to remove the ::type.
Definition: Traits.hpp:52
@@ -369,7 +369,7 @@ diff --git a/ViewTest_8hpp.html b/ViewTest_8hpp.html index 9cbe47992014..8860a370822c 100644 --- a/ViewTest_8hpp.html +++ b/ViewTest_8hpp.html @@ -143,7 +143,7 @@ diff --git a/ViewTest_8hpp_source.html b/ViewTest_8hpp_source.html index 74ec8b37af89..c26fc04c95dd 100644 --- a/ViewTest_8hpp_source.html +++ b/ViewTest_8hpp_source.html @@ -395,7 +395,7 @@ diff --git a/Wait_8hpp.html b/Wait_8hpp.html index 8f6ba189a94c..b36bbc0e523e 100644 --- a/Wait_8hpp.html +++ b/Wait_8hpp.html @@ -117,7 +117,7 @@ diff --git a/Wait_8hpp_source.html b/Wait_8hpp_source.html index 9e13bca11c54..60df941b808d 100644 --- a/Wait_8hpp_source.html +++ b/Wait_8hpp_source.html @@ -130,7 +130,7 @@ diff --git a/WarpGenericSycl_8hpp.html b/WarpGenericSycl_8hpp.html index becedef4fba7..63e444a0b58d 100644 --- a/WarpGenericSycl_8hpp.html +++ b/WarpGenericSycl_8hpp.html @@ -98,7 +98,7 @@ diff --git a/WarpGenericSycl_8hpp_source.html b/WarpGenericSycl_8hpp_source.html index bbf585427de9..ae678af57e5c 100644 --- a/WarpGenericSycl_8hpp_source.html +++ b/WarpGenericSycl_8hpp_source.html @@ -89,151 +89,218 @@
Go to the documentation of this file.
1 /* Copyright 2023 Jan Stephan, Luca Ferragina, Andrea Bocci, Aurora Perego
2  * SPDX-License-Identifier: MPL-2.0
-
3  */
-
4 
-
5 #pragma once
-
6 
-
7 #include "alpaka/core/Assert.hpp"
-
8 #include "alpaka/warp/Traits.hpp"
-
9 
-
10 #include <cstdint>
-
11 
-
12 #ifdef ALPAKA_ACC_SYCL_ENABLED
-
13 
-
14 # include <sycl/sycl.hpp>
+
3  *
+
4  * The implementations of Shfl::shfl(), ShflUp::shfl_up(), ShflDown::shfl_down() and ShflXor::shfl_xor() are derived
+
5  * from Intel DPCT.
+
6  * Copyright (C) Intel Corporation.
+
7  * SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+
8  * See https://llvm.org/LICENSE.txt for license information.
+
9  */
+
10 
+
11 #pragma once
+
12 
+
13 #include "alpaka/core/Assert.hpp"
+
14 #include "alpaka/warp/Traits.hpp"
15 
-
16 namespace alpaka::warp
-
17 {
-
18  //! The SYCL warp.
-
19  template<typename TDim>
-
20  class WarpGenericSycl : public concepts::Implements<alpaka::warp::ConceptWarp, WarpGenericSycl<TDim>>
-
21  {
-
22  public:
-
23  WarpGenericSycl(sycl::nd_item<TDim::value> my_item) : m_item_warp{my_item}
-
24  {
-
25  }
-
26 
-
27  sycl::nd_item<TDim::value> m_item_warp;
-
28  };
-
29 } // namespace alpaka::warp
-
30 
-
31 namespace alpaka::warp::trait
-
32 {
-
33  template<typename TDim>
-
34  struct GetSize<warp::WarpGenericSycl<TDim>>
-
35  {
-
36  static auto getSize(warp::WarpGenericSycl<TDim> const& warp) -> std::int32_t
-
37  {
-
38  auto const sub_group = warp.m_item_warp.get_sub_group();
-
39  // SYCL sub-groups are always 1D
-
40  return static_cast<std::int32_t>(sub_group.get_max_local_range()[0]);
-
41  }
-
42  };
-
43 
-
44  template<typename TDim>
-
45  struct Activemask<warp::WarpGenericSycl<TDim>>
-
46  {
-
47  // FIXME This should be std::uint64_t on AMD GCN architectures and on CPU,
-
48  // but the former is not targeted in alpaka and CPU case is not supported in SYCL yet.
-
49  // Restrict to warpSize <= 32 for now.
-
50  static auto activemask(warp::WarpGenericSycl<TDim> const& warp) -> std::uint32_t
-
51  {
-
52  static_assert(!sizeof(warp), "activemask is not supported on SYCL");
-
53  // SYCL does not have an API to get the activemask. It is also questionable (to me, bgruber) whether an
-
54  // "activemask" even exists on some hardware architectures, since the idea is bound to threads being
-
55  // "turned off" when they take different control flow in a warp. A SYCL implementation could run each
-
56  // thread as a SIMD lane, in which cause the "thread" is always active, but some SIMD lanes are either
-
57  // predicated off, or side-effects are masked out when writing them back.
-
58  //
-
59  // An implementation via oneAPI's sycl::ext::oneapi::group_ballot causes UB, because activemask is expected
-
60  // to be callable when less than all threads are active in a warp (CUDA). But SYCL requires all threads of
-
61  // a group to call the function.
-
62  //
-
63  // Intel's CUDA -> SYCL migration tool also suggests that there is no direct equivalent and the user must
-
64  // rewrite their kernel logic. See also:
-
65  // https://oneapi-src.github.io/SYCLomatic/dev_guide/diagnostic_ref/dpct1086.html
-
66 
-
67  return ~std::uint32_t{0};
-
68  }
-
69  };
-
70 
-
71  template<typename TDim>
-
72  struct All<warp::WarpGenericSycl<TDim>>
-
73  {
-
74  static auto all(warp::WarpGenericSycl<TDim> const& warp, std::int32_t predicate) -> std::int32_t
-
75  {
-
76  auto const sub_group = warp.m_item_warp.get_sub_group();
-
77  return static_cast<std::int32_t>(sycl::all_of_group(sub_group, static_cast<bool>(predicate)));
-
78  }
-
79  };
-
80 
-
81  template<typename TDim>
-
82  struct Any<warp::WarpGenericSycl<TDim>>
-
83  {
-
84  static auto any(warp::WarpGenericSycl<TDim> const& warp, std::int32_t predicate) -> std::int32_t
-
85  {
-
86  auto const sub_group = warp.m_item_warp.get_sub_group();
-
87  return static_cast<std::int32_t>(sycl::any_of_group(sub_group, static_cast<bool>(predicate)));
-
88  }
-
89  };
-
90 
-
91  template<typename TDim>
-
92  struct Ballot<warp::WarpGenericSycl<TDim>>
-
93  {
-
94  // FIXME This should be std::uint64_t on AMD GCN architectures and on CPU,
-
95  // but the former is not targeted in alpaka and CPU case is not supported in SYCL yet.
-
96  // Restrict to warpSize <= 32 for now.
-
97  static auto ballot(warp::WarpGenericSycl<TDim> const& warp, std::int32_t predicate) -> std::uint32_t
-
98  {
-
99  auto const sub_group = warp.m_item_warp.get_sub_group();
-
100  auto const mask = sycl::ext::oneapi::group_ballot(sub_group, static_cast<bool>(predicate));
-
101  // FIXME This should be std::uint64_t on AMD GCN architectures and on CPU,
-
102  // but the former is not targeted in alpaka and CPU case is not supported in SYCL yet.
-
103  // Restrict to warpSize <= 32 for now.
-
104  std::uint32_t bits = 0;
-
105  mask.extract_bits(bits);
-
106  return bits;
-
107  }
-
108  };
-
109 
-
110  template<typename TDim>
-
111  struct Shfl<warp::WarpGenericSycl<TDim>>
-
112  {
-
113  template<typename T>
-
114  static auto shfl(warp::WarpGenericSycl<TDim> const& warp, T value, std::int32_t srcLane, std::int32_t width)
-
115  {
-
116  ALPAKA_ASSERT_OFFLOAD(width > 0);
-
117  ALPAKA_ASSERT_OFFLOAD(srcLane < width);
-
118  ALPAKA_ASSERT_OFFLOAD(srcLane >= 0);
-
119 
-
120  /* If width < srcLane the sub-group needs to be split into assumed subdivisions. The first item of each
-
121  subdivision has the assumed index 0. The srcLane index is relative to the subdivisions.
-
122 
-
123  Example: If we assume a sub-group size of 32 and a width of 16 we will receive two subdivisions:
-
124  The first starts at sub-group index 0 and the second at sub-group index 16. For srcLane = 4 the
-
125  first subdivision will access the value at sub-group index 4 and the second at sub-group index 20. */
-
126  auto const actual_group = warp.m_item_warp.get_sub_group();
-
127  auto const actual_item_id = static_cast<std::int32_t>(actual_group.get_local_linear_id());
-
128  auto const actual_group_id = actual_item_id / width;
-
129  auto const actual_src_id = static_cast<std::size_t>(srcLane + actual_group_id * width);
-
130  auto const src = sycl::id<1>{actual_src_id};
-
131 
-
132  return sycl::select_from_group(actual_group, value, src);
-
133  }
-
134  };
-
135 } // namespace alpaka::warp::trait
-
136 
-
137 #endif
+
16 #include <cstdint>
+
17 
+
18 #ifdef ALPAKA_ACC_SYCL_ENABLED
+
19 
+
20 # include <sycl/sycl.hpp>
+
21 
+
22 namespace alpaka::warp
+
23 {
+
24  //! The SYCL warp.
+
25  template<typename TDim>
+
26  class WarpGenericSycl : public concepts::Implements<alpaka::warp::ConceptWarp, WarpGenericSycl<TDim>>
+
27  {
+
28  public:
+
29  WarpGenericSycl(sycl::nd_item<TDim::value> my_item) : m_item_warp{my_item}
+
30  {
+
31  }
+
32 
+
33  sycl::nd_item<TDim::value> m_item_warp;
+
34  };
+
35 } // namespace alpaka::warp
+
36 
+
37 namespace alpaka::warp::trait
+
38 {
+
39  template<typename TDim>
+
40  struct GetSize<warp::WarpGenericSycl<TDim>>
+
41  {
+
42  static auto getSize(warp::WarpGenericSycl<TDim> const& warp) -> std::int32_t
+
43  {
+
44  auto const sub_group = warp.m_item_warp.get_sub_group();
+
45  // SYCL sub-groups are always 1D
+
46  return static_cast<std::int32_t>(sub_group.get_max_local_range()[0]);
+
47  }
+
48  };
+
49 
+
50  template<typename TDim>
+
51  struct Activemask<warp::WarpGenericSycl<TDim>>
+
52  {
+
53  // FIXME This should be std::uint64_t on AMD GCN architectures and on CPU,
+
54  // but the former is not targeted in alpaka and CPU case is not supported in SYCL yet.
+
55  // Restrict to warpSize <= 32 for now.
+
56  static auto activemask(warp::WarpGenericSycl<TDim> const& warp) -> std::uint32_t
+
57  {
+
58  static_assert(!sizeof(warp), "activemask is not supported on SYCL");
+
59  // SYCL does not have an API to get the activemask. It is also questionable (to me, bgruber) whether an
+
60  // "activemask" even exists on some hardware architectures, since the idea is bound to threads being
+
61  // "turned off" when they take different control flow in a warp. A SYCL implementation could run each
+
62  // thread as a SIMD lane, in which cause the "thread" is always active, but some SIMD lanes are either
+
63  // predicated off, or side-effects are masked out when writing them back.
+
64  //
+
65  // An implementation via oneAPI's sycl::ext::oneapi::group_ballot causes UB, because activemask is expected
+
66  // to be callable when less than all threads are active in a warp (CUDA). But SYCL requires all threads of
+
67  // a group to call the function.
+
68  //
+
69  // Intel's CUDA -> SYCL migration tool also suggests that there is no direct equivalent and the user must
+
70  // rewrite their kernel logic. See also:
+
71  // https://oneapi-src.github.io/SYCLomatic/dev_guide/diagnostic_ref/dpct1086.html
+
72 
+
73  return ~std::uint32_t{0};
+
74  }
+
75  };
+
76 
+
77  template<typename TDim>
+
78  struct All<warp::WarpGenericSycl<TDim>>
+
79  {
+
80  static auto all(warp::WarpGenericSycl<TDim> const& warp, std::int32_t predicate) -> std::int32_t
+
81  {
+
82  auto const sub_group = warp.m_item_warp.get_sub_group();
+
83  return static_cast<std::int32_t>(sycl::all_of_group(sub_group, static_cast<bool>(predicate)));
+
84  }
+
85  };
+
86 
+
87  template<typename TDim>
+
88  struct Any<warp::WarpGenericSycl<TDim>>
+
89  {
+
90  static auto any(warp::WarpGenericSycl<TDim> const& warp, std::int32_t predicate) -> std::int32_t
+
91  {
+
92  auto const sub_group = warp.m_item_warp.get_sub_group();
+
93  return static_cast<std::int32_t>(sycl::any_of_group(sub_group, static_cast<bool>(predicate)));
+
94  }
+
95  };
+
96 
+
97  template<typename TDim>
+
98  struct Ballot<warp::WarpGenericSycl<TDim>>
+
99  {
+
100  // FIXME This should be std::uint64_t on AMD GCN architectures and on CPU,
+
101  // but the former is not targeted in alpaka and CPU case is not supported in SYCL yet.
+
102  // Restrict to warpSize <= 32 for now.
+
103  static auto ballot(warp::WarpGenericSycl<TDim> const& warp, std::int32_t predicate) -> std::uint32_t
+
104  {
+
105  auto const sub_group = warp.m_item_warp.get_sub_group();
+
106  auto const mask = sycl::ext::oneapi::group_ballot(sub_group, static_cast<bool>(predicate));
+
107  // FIXME This should be std::uint64_t on AMD GCN architectures and on CPU,
+
108  // but the former is not targeted in alpaka and CPU case is not supported in SYCL yet.
+
109  // Restrict to warpSize <= 32 for now.
+
110  std::uint32_t bits = 0;
+
111  mask.extract_bits(bits);
+
112  return bits;
+
113  }
+
114  };
+
115 
+
116  template<typename TDim>
+
117  struct Shfl<warp::WarpGenericSycl<TDim>>
+
118  {
+
119  template<typename T>
+
120  static auto shfl(warp::WarpGenericSycl<TDim> const& warp, T value, std::int32_t srcLane, std::int32_t width)
+
121  {
+
122  ALPAKA_ASSERT_OFFLOAD(width > 0);
+
123  ALPAKA_ASSERT_OFFLOAD(srcLane >= 0);
+
124 
+
125  /* If width < srcLane the sub-group needs to be split into assumed subdivisions. The first item of each
+
126  subdivision has the assumed index 0. The srcLane index is relative to the subdivisions.
+
127 
+
128  Example: If we assume a sub-group size of 32 and a width of 16 we will receive two subdivisions:
+
129  The first starts at sub-group index 0 and the second at sub-group index 16. For srcLane = 4 the
+
130  first subdivision will access the value at sub-group index 4 and the second at sub-group index 20. */
+
131  auto const actual_group = warp.m_item_warp.get_sub_group();
+
132  std::uint32_t const w = static_cast<std::uint32_t>(width);
+
133  std::uint32_t const start_index = actual_group.get_local_linear_id() / w * w;
+
134  return sycl::select_from_group(actual_group, value, start_index + static_cast<std::uint32_t>(srcLane) % w);
+
135  }
+
136  };
+
137 
+
138  template<typename TDim>
+
139  struct ShflUp<warp::WarpGenericSycl<TDim>>
+
140  {
+
141  template<typename T>
+
142  static auto shfl_up(
+
143  warp::WarpGenericSycl<TDim> const& warp,
+
144  T value,
+
145  std::uint32_t offset, /* must be the same for all work-items in the group */
+
146  std::int32_t width)
+
147  {
+
148  auto const actual_group = warp.m_item_warp.get_sub_group();
+
149  std::uint32_t const w = static_cast<std::uint32_t>(width);
+
150  std::uint32_t const id = actual_group.get_local_linear_id();
+
151  std::uint32_t const start_index = id / w * w;
+
152  T result = sycl::shift_group_right(actual_group, value, offset);
+
153  if((id - start_index) < offset)
+
154  {
+
155  result = value;
+
156  }
+
157  return result;
+
158  }
+
159  };
+
160 
+
161  template<typename TDim>
+
162  struct ShflDown<warp::WarpGenericSycl<TDim>>
+
163  {
+
164  template<typename T>
+
165  static auto shfl_down(
+
166  warp::WarpGenericSycl<TDim> const& warp,
+
167  T value,
+
168  std::uint32_t offset,
+
169  std::int32_t width)
+
170  {
+
171  auto const actual_group = warp.m_item_warp.get_sub_group();
+
172  std::uint32_t const w = static_cast<std::uint32_t>(width);
+
173  std::uint32_t const id = actual_group.get_local_linear_id();
+
174  std::uint32_t const end_index = (id / w + 1) * w;
+
175  T result = sycl::shift_group_left(actual_group, value, offset);
+
176  if((id + offset) >= end_index)
+
177  {
+
178  result = value;
+
179  }
+
180  return result;
+
181  }
+
182  };
+
183 
+
184  template<typename TDim>
+
185  struct ShflXor<warp::WarpGenericSycl<TDim>>
+
186  {
+
187  template<typename T>
+
188  static auto shfl_xor(warp::WarpGenericSycl<TDim> const& warp, T value, std::int32_t mask, std::int32_t width)
+
189  {
+
190  auto const actual_group = warp.m_item_warp.get_sub_group();
+
191  std::uint32_t const w = static_cast<std::uint32_t>(width);
+
192  std::uint32_t const id = actual_group.get_local_linear_id();
+
193  std::uint32_t const start_index = id / w * w;
+
194  std::uint32_t const target_offset = (id % w) ^ static_cast<std::uint32_t>(mask);
+
195  return sycl::select_from_group(actual_group, value, target_offset < w ? start_index + target_offset : id);
+
196  }
+
197  };
+
198 } // namespace alpaka::warp::trait
+
199 
+
200 #endif
#define ALPAKA_ASSERT_OFFLOAD(EXPRESSION)
Definition: Assert.hpp:24
+
constexpr auto offset
Definition: Extent.hpp:34
The warp traits.
Definition: Traits.hpp:21
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:102
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto ballot(TWarp const &warp, std::int32_t predicate)
Evaluates predicate for all non-exited threads in a warp and returns a 32- or 64-bit unsigned integer...
Definition: Traits.hpp:152
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto any(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:125
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl(TWarp const &warp, std::int32_t value, std::int32_t srcLane, std::int32_t width=0)
Exchange data between threads within a warp.
Definition: Traits.hpp:186
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto getSize(TWarp const &warp) -> std::int32_t
Returns warp size.
Definition: Traits.hpp:53
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto activemask(TWarp const &warp) -> decltype(trait::Activemask< concepts::ImplementationBase< ConceptWarp, TWarp >>::activemask(warp))
Returns a 32- or 64-bit unsigned integer (depending on the accelerator) whose Nth bit is set if and o...
Definition: Traits.hpp:78
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:114
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto ballot(TWarp const &warp, std::int32_t predicate)
Evaluates predicate for all non-exited threads in a warp and returns a 32- or 64-bit unsigned integer...
Definition: Traits.hpp:164
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl_up(TWarp const &warp, T value, std::uint32_t offset, std::int32_t width=0)
Exchange data between threads within a warp. It copies from a lane with lower ID relative to caller....
Definition: Traits.hpp:236
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto any(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:137
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl_down(TWarp const &warp, T value, std::uint32_t offset, std::int32_t width=0)
Exchange data between threads within a warp. It copies from a lane with higher ID relative to caller....
Definition: Traits.hpp:274
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto getSize(TWarp const &warp) -> std::int32_t
Returns warp size.
Definition: Traits.hpp:65
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto activemask(TWarp const &warp) -> decltype(trait::Activemask< concepts::ImplementationBase< ConceptWarp, TWarp >>::activemask(warp))
Returns a 32- or 64-bit unsigned integer (depending on the accelerator) whose Nth bit is set if and o...
Definition: Traits.hpp:90
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl_xor(TWarp const &warp, T value, std::int32_t mask, std::int32_t width=0)
Exchange data between threads within a warp. It copies from a lane based on bitwise XOR of own lane I...
Definition: Traits.hpp:312
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl(TWarp const &warp, T value, std::int32_t srcLane, std::int32_t width=0)
Exchange data between threads within a warp.
Definition: Traits.hpp:198
@@ -241,7 +308,7 @@ diff --git a/WarpSingleThread_8hpp.html b/WarpSingleThread_8hpp.html index aa161f48b2e0..b15cc8486f0a 100644 --- a/WarpSingleThread_8hpp.html +++ b/WarpSingleThread_8hpp.html @@ -109,6 +109,12 @@   struct  alpaka::warp::trait::Shfl< WarpSingleThread >   +struct  alpaka::warp::trait::ShflDown< WarpSingleThread > +  +struct  alpaka::warp::trait::ShflUp< WarpSingleThread > +  +struct  alpaka::warp::trait::ShflXor< WarpSingleThread > +  class  alpaka::warp::WarpSingleThread  The single-threaded warp to emulate it on CPUs. More...
  @@ -130,7 +136,7 @@ diff --git a/WarpSingleThread_8hpp_source.html b/WarpSingleThread_8hpp_source.html index a21add94aaad..35819654a4dd 100644 --- a/WarpSingleThread_8hpp_source.html +++ b/WarpSingleThread_8hpp_source.html @@ -87,7 +87,7 @@
WarpSingleThread.hpp
-Go to the documentation of this file.
1 /* Copyright 2022 Sergei Bastrakov, David M. Rogers, Bernhard Manfred Gruber
+Go to the documentation of this file.
1 /* Copyright 2022 Sergei Bastrakov, David M. Rogers, Bernhard Manfred Gruber, Aurora Perego
2  * SPDX-License-Identifier: MPL-2.0
3  */
4 
@@ -154,31 +154,65 @@
65  template<>
67  {
-
68  static auto shfl(
-
69  warp::WarpSingleThread const& /*warp*/,
-
70  std::int32_t val,
-
71  std::int32_t /*srcLane*/,
-
72  std::int32_t /*width*/)
-
73  {
-
74  return val;
-
75  }
-
76 
-
77  static auto shfl(
-
78  warp::WarpSingleThread const& /*warp*/,
-
79  float val,
-
80  std::int32_t /*srcLane*/,
-
81  std::int32_t /*width*/)
-
82  {
-
83  return val;
-
84  }
-
85  };
-
86  } // namespace trait
-
87 } // namespace alpaka::warp
+
68  template<typename T>
+
69  static auto shfl(
+
70  warp::WarpSingleThread const& /*warp*/,
+
71  T val,
+
72  std::int32_t /*srcLane*/,
+
73  std::int32_t /*width*/)
+
74  {
+
75  return val;
+
76  }
+
77  };
+
78 
+
79  template<>
+ +
81  {
+
82  template<typename T>
+
83  static auto shfl_up(
+
84  warp::WarpSingleThread const& /*warp*/,
+
85  T val,
+
86  std::uint32_t /*srcLane*/,
+
87  std::int32_t /*width*/)
+
88  {
+
89  return val;
+
90  }
+
91  };
+
92 
+
93  template<>
+ +
95  {
+
96  template<typename T>
+
97  static auto shfl_down(
+
98  warp::WarpSingleThread const& /*warp*/,
+
99  T val,
+
100  std::uint32_t /*srcLane*/,
+
101  std::int32_t /*width*/)
+
102  {
+
103  return val;
+
104  }
+
105  };
+
106 
+
107  template<>
+ +
109  {
+
110  template<typename T>
+
111  static auto shfl_xor(
+
112  warp::WarpSingleThread const& /*warp*/,
+
113  T val,
+
114  std::int32_t /*srcLane*/,
+
115  std::int32_t /*width*/)
+
116  {
+
117  return val;
+
118  }
+
119  };
+
120  } // namespace trait
+
121 } // namespace alpaka::warp
The single-threaded warp to emulate it on CPUs.
Tag used in class inheritance hierarchies that describes that a specific concept (TConcept) is implem...
Definition: Concepts.hpp:15
static auto activemask(warp::WarpSingleThread const &)
-
The active mask trait.
Definition: Traits.hpp:44
+
The active mask trait.
Definition: Traits.hpp:56
static auto all(warp::WarpSingleThread const &, std::int32_t predicate)
The all warp vote trait.
Definition: Traits.hpp:28
static auto any(warp::WarpSingleThread const &, std::int32_t predicate)
@@ -187,8 +221,13 @@
The ballot warp vote trait.
Definition: Traits.hpp:36
static auto getSize(warp::WarpSingleThread const &)
The warp size trait.
Definition: Traits.hpp:24
-
static auto shfl(warp::WarpSingleThread const &, float val, std::int32_t, std::int32_t)
-
static auto shfl(warp::WarpSingleThread const &, std::int32_t val, std::int32_t, std::int32_t)
+
static auto shfl_down(warp::WarpSingleThread const &, T val, std::uint32_t, std::int32_t)
+
The shfl down warp swizzling trait.
Definition: Traits.hpp:48
+
static auto shfl_up(warp::WarpSingleThread const &, T val, std::uint32_t, std::int32_t)
+
The shfl up warp swizzling trait.
Definition: Traits.hpp:44
+
static auto shfl_xor(warp::WarpSingleThread const &, T val, std::int32_t, std::int32_t)
+
The shfl xor warp swizzling trait.
Definition: Traits.hpp:52
+
static auto shfl(warp::WarpSingleThread const &, T val, std::int32_t, std::int32_t)
The shfl warp swizzling trait.
Definition: Traits.hpp:40
@@ -197,7 +236,7 @@ diff --git a/WarpUniformCudaHipBuiltIn_8hpp.html b/WarpUniformCudaHipBuiltIn_8hpp.html index 92d8b49d00b0..0fed5cf2e0be 100644 --- a/WarpUniformCudaHipBuiltIn_8hpp.html +++ b/WarpUniformCudaHipBuiltIn_8hpp.html @@ -111,6 +111,12 @@   struct  alpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn >   +struct  alpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn > +  +struct  alpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn > +  +struct  alpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn > +  class  alpaka::warp::WarpUniformCudaHipBuiltIn  The GPU CUDA/HIP warp. More...
  @@ -132,7 +138,7 @@ diff --git a/WarpUniformCudaHipBuiltIn_8hpp_source.html b/WarpUniformCudaHipBuiltIn_8hpp_source.html index 9af4856bfc43..f46b30e9f79e 100644 --- a/WarpUniformCudaHipBuiltIn_8hpp_source.html +++ b/WarpUniformCudaHipBuiltIn_8hpp_source.html @@ -87,7 +87,7 @@
WarpUniformCudaHipBuiltIn.hpp
-Go to the documentation of this file.
1 /* Copyright 2022 Sergei Bastrakov, David M. Rogers, Jan Stephan, Andrea Bocci, Bernhard Manfred Gruber
+Go to the documentation of this file.
1 /* Copyright 2022 Sergei Bastrakov, David M. Rogers, Jan Stephan, Andrea Bocci, Bernhard Manfred Gruber, Aurora Perego
2  * SPDX-License-Identifier: MPL-2.0
3  */
4 
@@ -202,12 +202,12 @@
113  template<>
115  {
-
116  //-------------------------------------------------------------
-
117  __device__ static auto shfl(
+
116  template<typename T>
+
117  __device__ static auto shfl(
118  [[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const& warp,
-
119  float val,
+
119  T val,
120  int srcLane,
-
121  std::int32_t width) -> float
+
121  std::int32_t width) -> T
122  {
123 # if defined(ALPAKA_ACC_GPU_CUDA_ENABLED)
124  return __shfl_sync(activemask(warp), val, srcLane, width);
@@ -215,35 +215,77 @@
126  return __shfl(val, srcLane, width);
127 # endif
128  }
-
129 
-
130  //-------------------------------------------------------------
-
131  __device__ static auto shfl(
-
132  [[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const& warp,
-
133  std::int32_t val,
-
134  int srcLane,
-
135  std::int32_t width) -> std::int32_t
-
136  {
-
137 # if defined(ALPAKA_ACC_GPU_CUDA_ENABLED)
-
138  return __shfl_sync(activemask(warp), val, srcLane, width);
-
139 # else
-
140  return __shfl(val, srcLane, width);
-
141 # endif
-
142  }
-
143  };
-
144  } // namespace trait
-
145 # endif
-
146 } // namespace alpaka::warp
-
147 
-
148 #endif
+
129  };
+
130 
+
131  template<>
+ +
133  {
+
134  template<typename T>
+
135  __device__ static auto shfl_up(
+
136  [[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const& warp,
+
137  T val,
+
138  std::uint32_t offset,
+
139  std::int32_t width) -> T
+
140  {
+
141 # if defined(ALPAKA_ACC_GPU_CUDA_ENABLED)
+
142  return __shfl_up_sync(activemask(warp), val, offset, width);
+
143 # else
+
144  return __shfl_up(val, offset, width);
+
145 # endif
+
146  }
+
147  };
+
148 
+
149  template<>
+ +
151  {
+
152  template<typename T>
+
153  __device__ static auto shfl_down(
+
154  [[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const& warp,
+
155  T val,
+
156  std::uint32_t offset,
+
157  std::int32_t width) -> T
+
158  {
+
159 # if defined(ALPAKA_ACC_GPU_CUDA_ENABLED)
+
160  return __shfl_down_sync(activemask(warp), val, offset, width);
+
161 # else
+
162  return __shfl_down(val, offset, width);
+
163 # endif
+
164  }
+
165  };
+
166 
+
167  template<>
+ +
169  {
+
170  template<typename T>
+
171  __device__ static auto shfl_xor(
+
172  [[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const& warp,
+
173  T val,
+
174  std::int32_t mask,
+
175  std::int32_t width) -> T
+
176  {
+
177 # if defined(ALPAKA_ACC_GPU_CUDA_ENABLED)
+
178  return __shfl_xor_sync(activemask(warp), val, mask, width);
+
179 # else
+
180  return __shfl_xor(val, mask, width);
+
181 # endif
+
182  }
+
183  };
+
184 
+
185  } // namespace trait
+
186 # endif
+
187 } // namespace alpaka::warp
+
188 
+
189 #endif
+
constexpr auto offset
Definition: Extent.hpp:34
constexpr std::uint32_t warpSize
This is a shortcut for the trait defined above.
Definition: Traits.hpp:85
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto activemask(TWarp const &warp) -> decltype(trait::Activemask< concepts::ImplementationBase< ConceptWarp, TWarp >>::activemask(warp))
Returns a 32- or 64-bit unsigned integer (depending on the accelerator) whose Nth bit is set if and o...
Definition: Traits.hpp:78
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto activemask(TWarp const &warp) -> decltype(trait::Activemask< concepts::ImplementationBase< ConceptWarp, TWarp >>::activemask(warp))
Returns a 32- or 64-bit unsigned integer (depending on the accelerator) whose Nth bit is set if and o...
Definition: Traits.hpp:90
Tag used in class inheritance hierarchies that describes that a specific concept (TConcept) is implem...
Definition: Concepts.hpp:15
static __device__ auto activemask(warp::WarpUniformCudaHipBuiltIn const &) -> std::uint32_t
-
The active mask trait.
Definition: Traits.hpp:44
+
The active mask trait.
Definition: Traits.hpp:56
static __device__ auto all([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, std::int32_t predicate) -> std::int32_t
The all warp vote trait.
Definition: Traits.hpp:28
static __device__ auto any([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, std::int32_t predicate) -> std::int32_t
@@ -252,8 +294,13 @@
The ballot warp vote trait.
Definition: Traits.hpp:36
static __device__ auto getSize(warp::WarpUniformCudaHipBuiltIn const &) -> std::int32_t
The warp size trait.
Definition: Traits.hpp:24
-
static __device__ auto shfl([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, std::int32_t val, int srcLane, std::int32_t width) -> std::int32_t
-
static __device__ auto shfl([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, float val, int srcLane, std::int32_t width) -> float
+
static __device__ auto shfl_down([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, std::uint32_t offset, std::int32_t width) -> T
+
The shfl down warp swizzling trait.
Definition: Traits.hpp:48
+
static __device__ auto shfl_up([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, std::uint32_t offset, std::int32_t width) -> T
+
The shfl up warp swizzling trait.
Definition: Traits.hpp:44
+
static __device__ auto shfl_xor([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, std::int32_t mask, std::int32_t width) -> T
+
The shfl xor warp swizzling trait.
Definition: Traits.hpp:52
+
static __device__ auto shfl([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, int srcLane, std::int32_t width) -> T
The shfl warp swizzling trait.
Definition: Traits.hpp:40
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diff --git a/classalpaka_1_1test_1_1trait_1_1IteratorView-members.html b/classalpaka_1_1test_1_1trait_1_1IteratorView-members.html index 21c7bbfc55dc..0d1dc2e6b9ee 100644 --- a/classalpaka_1_1test_1_1trait_1_1IteratorView-members.html +++ b/classalpaka_1_1test_1_1trait_1_1IteratorView-members.html @@ -104,7 +104,7 @@ diff --git a/classalpaka_1_1test_1_1trait_1_1IteratorView.html b/classalpaka_1_1test_1_1trait_1_1IteratorView.html index 2252c98c3ec3..3d45f23aa2cd 100644 --- a/classalpaka_1_1test_1_1trait_1_1IteratorView.html +++ b/classalpaka_1_1test_1_1trait_1_1IteratorView.html @@ -421,7 +421,7 @@

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diff --git a/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1EventUniformCudaHipImpl-members.html b/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1EventUniformCudaHipImpl-members.html index 959f75eca410..2156911fdc90 100644 --- a/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1EventUniformCudaHipImpl-members.html +++ b/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1EventUniformCudaHipImpl-members.html @@ -101,7 +101,7 @@ diff --git a/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1EventUniformCudaHipImpl.html b/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1EventUniformCudaHipImpl.html index fe0b64454771..27f3f0bdb162 100644 --- a/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1EventUniformCudaHipImpl.html +++ b/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1EventUniformCudaHipImpl.html @@ -309,7 +309,7 @@

diff --git a/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1QueueUniformCudaHipRt-members.html b/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1QueueUniformCudaHipRt-members.html index 1eac9c755fb3..d51cee018882 100644 --- a/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1QueueUniformCudaHipRt-members.html +++ b/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1QueueUniformCudaHipRt-members.html @@ -101,7 +101,7 @@ diff --git a/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1QueueUniformCudaHipRt.html b/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1QueueUniformCudaHipRt.html index 0dfc73da1627..41a5392ea1f8 100644 --- a/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1QueueUniformCudaHipRt.html +++ b/classalpaka_1_1uniform__cuda__hip_1_1detail_1_1QueueUniformCudaHipRt.html @@ -317,7 +317,7 @@

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RandDefault (alpaka::rand)
RandomDevice (alpaka::rand)
RandomDevice (alpaka::rand::engine::cpu)
RandUniformCudaHipRand (alpaka::rand)
Remainder (alpaka::math::trait)
Remainder< RemainderUniformCudaHipBuiltIn, Tx, Ty, std::enable_if_t< std::is_floating_point_v< Tx > &&std::is_floating_point_v< Ty > > > (alpaka::math::trait)
RemainderStdLib (alpaka::math)
RemainderUniformCudaHipBuiltIn (alpaka::math)
remove_restrict (alpaka)
remove_restrict< T *__restrict__ > (alpaka)
Reset (alpaka::trait)
Reset< DevCpu > (alpaka::trait)
Reset< DevUniformCudaHipRt< TApi > > (alpaka::trait)
ReverseVec (alpaka::trait)
ReverseVec< Vec< TDim, TVal > > (alpaka::trait)
Round (alpaka::math::trait)
Round< RoundUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
RoundStdLib (alpaka::math)
RoundUniformCudaHipBuiltIn (alpaka::math)
RoundUpToPowerOfTwo (alpaka::core)
RoundUpToPowerOfTwoHelper (alpaka::core::detail)
RoundUpToPowerOfTwoHelper< N, false > (alpaka::core::detail)
Rsqrt (alpaka::math::trait)
Rsqrt< RsqrtUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
Rsqrt< RsqrtUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_arithmetic_v< TArg > > > (alpaka::math::trait)
RsqrtStdLib (alpaka::math)
RsqrtUniformCudaHipBuiltIn (alpaka::math)
S
-
Schedule (alpaka::omp)
ScopeLogStdOut (alpaka::core::detail)
Shfl (alpaka::warp::trait)
Shfl< WarpSingleThread > (alpaka::warp::trait)
Shfl< WarpUniformCudaHipBuiltIn > (alpaka::warp::trait)
Sin (alpaka::math::trait)
Sin< SinUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
Sin< SinUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
SinCos (alpaka::math::trait)
SinCos< SinCosUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
SinCos< SinCosUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
SinCosStdLib (alpaka::math)
SinCosUniformCudaHipBuiltIn (alpaka::math)
Sinh (alpaka::math::trait)
Sinh< SinhUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
Sinh< SinhUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
SinhStdLib (alpaka::math)
SinhUniformCudaHipBuiltIn (alpaka::math)
SinStdLib (alpaka::math)
SinUniformCudaHipBuiltIn (alpaka::math)
Sqrt (alpaka::math::trait)
Sqrt< SqrtUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
Sqrt< SqrtUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_arithmetic_v< TArg > > > (alpaka::math::trait)
SqrtStdLib (alpaka::math)
SqrtUniformCudaHipBuiltIn (alpaka::math)
StreamOutAccName (alpaka::test::detail)
SubVecFromIndices (alpaka::trait)
SubVecFromIndices< Vec< TDim, TVal >, std::index_sequence< TIndices... > > (alpaka::trait)
SyncBlockThreads (alpaka::trait)
SyncBlockThreads< BlockSyncBarrierOmp > (alpaka::trait)
SyncBlockThreads< BlockSyncBarrierThread< TIdx > > (alpaka::trait)
SyncBlockThreads< BlockSyncNoOp > (alpaka::trait)
SyncBlockThreads< BlockSyncUniformCudaHipBuiltIn > (alpaka::trait)
SyncBlockThreadsPredicate (alpaka::trait)
SyncBlockThreadsPredicate< BlockAnd, BlockSyncUniformCudaHipBuiltIn > (alpaka::trait)
SyncBlockThreadsPredicate< BlockCount, BlockSyncUniformCudaHipBuiltIn > (alpaka::trait)
SyncBlockThreadsPredicate< BlockOr, BlockSyncUniformCudaHipBuiltIn > (alpaka::trait)
SyncBlockThreadsPredicate< TOp, BlockSyncBarrierOmp > (alpaka::trait)
SyncBlockThreadsPredicate< TOp, BlockSyncBarrierThread< TIdx > > (alpaka::trait)
SyncBlockThreadsPredicate< TOp, BlockSyncNoOp > (alpaka::trait)
+
Schedule (alpaka::omp)
ScopeLogStdOut (alpaka::core::detail)
Shfl (alpaka::warp::trait)
Shfl< WarpSingleThread > (alpaka::warp::trait)
Shfl< WarpUniformCudaHipBuiltIn > (alpaka::warp::trait)
ShflDown (alpaka::warp::trait)
ShflDown< WarpSingleThread > (alpaka::warp::trait)
ShflDown< WarpUniformCudaHipBuiltIn > (alpaka::warp::trait)
ShflUp (alpaka::warp::trait)
ShflUp< WarpSingleThread > (alpaka::warp::trait)
ShflUp< WarpUniformCudaHipBuiltIn > (alpaka::warp::trait)
ShflXor (alpaka::warp::trait)
ShflXor< WarpSingleThread > (alpaka::warp::trait)
ShflXor< WarpUniformCudaHipBuiltIn > (alpaka::warp::trait)
Sin (alpaka::math::trait)
Sin< SinUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
Sin< SinUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
SinCos (alpaka::math::trait)
SinCos< SinCosUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
SinCos< SinCosUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
SinCosStdLib (alpaka::math)
SinCosUniformCudaHipBuiltIn (alpaka::math)
Sinh (alpaka::math::trait)
Sinh< SinhUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
Sinh< SinhUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
SinhStdLib (alpaka::math)
SinhUniformCudaHipBuiltIn (alpaka::math)
SinStdLib (alpaka::math)
SinUniformCudaHipBuiltIn (alpaka::math)
Sqrt (alpaka::math::trait)
Sqrt< SqrtUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
Sqrt< SqrtUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_arithmetic_v< TArg > > > (alpaka::math::trait)
SqrtStdLib (alpaka::math)
SqrtUniformCudaHipBuiltIn (alpaka::math)
StreamOutAccName (alpaka::test::detail)
SubVecFromIndices (alpaka::trait)
SubVecFromIndices< Vec< TDim, TVal >, std::index_sequence< TIndices... > > (alpaka::trait)
SyncBlockThreads (alpaka::trait)
SyncBlockThreads< BlockSyncBarrierOmp > (alpaka::trait)
SyncBlockThreads< BlockSyncBarrierThread< TIdx > > (alpaka::trait)
SyncBlockThreads< BlockSyncNoOp > (alpaka::trait)
SyncBlockThreads< BlockSyncUniformCudaHipBuiltIn > (alpaka::trait)
SyncBlockThreadsPredicate (alpaka::trait)
SyncBlockThreadsPredicate< BlockAnd, BlockSyncUniformCudaHipBuiltIn > (alpaka::trait)
SyncBlockThreadsPredicate< BlockCount, BlockSyncUniformCudaHipBuiltIn > (alpaka::trait)
SyncBlockThreadsPredicate< BlockOr, BlockSyncUniformCudaHipBuiltIn > (alpaka::trait)
SyncBlockThreadsPredicate< TOp, BlockSyncBarrierOmp > (alpaka::trait)
SyncBlockThreadsPredicate< TOp, BlockSyncBarrierThread< TIdx > > (alpaka::trait)
SyncBlockThreadsPredicate< TOp, BlockSyncNoOp > (alpaka::trait)
T
TagCpuOmp2Blocks (alpaka)
TagCpuOmp2Threads (alpaka)
TagCpuSerial (alpaka)
TagCpuSycl (alpaka)
TagCpuTbbBlocks (alpaka)
TagCpuThreads (alpaka)
TagFpgaSyclIntel (alpaka)
TagGenericSycl (alpaka)
TagGpuCudaRt (alpaka)
TagGpuHipRt (alpaka)
TagGpuSyclIntel (alpaka)
TagToAcc (alpaka::trait)
TagToAcc< alpaka::TagCpuOmp2Blocks, TDim, TIdx > (alpaka::trait)
TagToAcc< alpaka::TagCpuOmp2Threads, TDim, TIdx > (alpaka::trait)
TagToAcc< alpaka::TagCpuSerial, TDim, TIdx > (alpaka::trait)
TagToAcc< alpaka::TagCpuThreads, TDim, TIdx > (alpaka::trait)
TagToAcc< alpaka::TagGpuCudaRt, TDim, TIdx > (alpaka::trait)
Tan (alpaka::math::trait)
Tan< TanUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
Tan< TanUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
Tanh (alpaka::math::trait)
Tanh< TanhUniformCudaHipBuiltIn, Complex< T > > (alpaka::math::trait)
Tanh< TanhUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
TanhStdLib (alpaka::math)
TanhUniformCudaHipBuiltIn (alpaka::math)
TanStdLib (alpaka::math)
TanUniformCudaHipBuiltIn (alpaka::math)
TaskCopyCpu (alpaka::detail)
TaskCopyCpu< DimInt< 0u >, TViewDst, TViewSrc, TExtent > (alpaka::detail)
TaskCopyCpu< DimInt< 1u >, TViewDst, TViewSrc, TExtent > (alpaka::detail)
TaskCopyCpuBase (alpaka::detail)
TaskCopyUniformCudaHip (alpaka::detail)
TaskCopyUniformCudaHip< TApi, DimInt< 0u >, TViewDst, TViewSrc, TExtent > (alpaka::detail)
TaskCopyUniformCudaHip< TApi, DimInt< 1u >, TViewDst, TViewSrc, TExtent > (alpaka::detail)
TaskCopyUniformCudaHip< TApi, DimInt< 2u >, TViewDst, TViewSrc, TExtent > (alpaka::detail)
TaskCopyUniformCudaHip< TApi, DimInt< 3u >, TViewDst, TViewSrc, TExtent > (alpaka::detail)
TaskKernelCpuOmp2Blocks (alpaka)
TaskKernelCpuOmp2Threads (alpaka)
TaskKernelCpuSerial (alpaka)
TaskKernelCpuThreads (alpaka)
TaskKernelGpuUniformCudaHipRt (alpaka)
TaskSetCpu (alpaka::detail)
TaskSetCpu< DimInt< 0u >, TView, TExtent > (alpaka::detail)
TaskSetCpu< DimInt< 1u >, TView, TExtent > (alpaka::detail)
TaskSetCpuBase (alpaka::detail)
TaskSetUniformCudaHip (alpaka::detail)
TaskSetUniformCudaHip< TApi, DimInt< 0u >, TView, TExtent > (alpaka::detail)
TaskSetUniformCudaHip< TApi, DimInt< 1u >, TView, TExtent > (alpaka::detail)
TaskSetUniformCudaHip< TApi, DimInt< 2u >, TView, TExtent > (alpaka::detail)
TaskSetUniformCudaHip< TApi, DimInt< 3u >, TView, TExtent > (alpaka::detail)
TaskSetUniformCudaHipBase (alpaka::detail)
ThreadPool (alpaka::core::detail)
Threads (alpaka::hierarchy)
TinyMersenneTwister (alpaka::rand)
TinyMersenneTwister (alpaka::rand::engine::cpu)
TINYMT32_T
TinyMTengine (alpaka::rand::engine::cpu)
TransformImpl (alpaka::meta::detail)
TransformImpl< TList< Ts... >, TOp > (alpaka::meta::detail)
Trunc (alpaka::math::trait)
Trunc< TruncUniformCudaHipBuiltIn, TArg, std::enable_if_t< std::is_floating_point_v< TArg > > > (alpaka::math::trait)
TruncStdLib (alpaka::math)
TruncUniformCudaHipBuiltIn (alpaka::math)
tuple_element< I, alpaka::Vec< TDim, TVal > > (std)
tuple_size< alpaka::meta::CudaVectorArrayWrapper< T, N > > (std)
tuple_size< alpaka::Vec< TDim, TVal > > (std)
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ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_HOST_ACC auto ndLoopIncIdx(TExtentVec const &extent, TFnObj const &f) -> void
Loops over an n-dimensional iteration index variable calling f(idx, args...) for each iteration....
Definition: NdLoop.hpp:81
-
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:102
+
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
Definition: Traits.hpp:114
The alpaka accelerator library.
typename trait::IdxType< T >::type Idx
Definition: Traits.hpp:29
ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_HOST_ACC auto getExtents(T const &object) -> Vec< Dim< T >, Idx< T >>
Definition: Traits.hpp:59
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                                                    : alpaka::ApiCudaRt
                                                  • shfl() -: alpaka::warp::trait::Shfl< WarpSingleThread > -, alpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn > +: alpaka::warp::trait::Shfl< WarpSingleThread > +, alpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn > +
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                                                  • singleRound() : alpaka::rand::engine::PhiloxStateless< TBackend, TParams > @@ -171,7 +183,7 @@

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                                                                  - ~ -

                                                                    diff --git a/functions_g.html b/functions_g.html index 51380b9f94b6..71e25d956dc0 100644 --- a/functions_g.html +++ b/functions_g.html @@ -278,7 +278,7 @@

                                                                    - g -

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                                                                                        diff --git a/functions_rela.html b/functions_rela.html index 0955988786f5..ce5c3d5e7293 100644 --- a/functions_rela.html +++ b/functions_rela.html @@ -123,7 +123,7 @@ diff --git a/functions_s.html b/functions_s.html index f39b43ab5cf1..fa6fbef7ce8d 100644 --- a/functions_s.html +++ b/functions_s.html @@ -102,8 +102,20 @@

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                                                                                          : alpaka::ApiCudaRt
                                                                                        • shfl() -: alpaka::warp::trait::Shfl< WarpSingleThread > -, alpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn > +: alpaka::warp::trait::Shfl< WarpSingleThread > +, alpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn > +
                                                                                        • +
                                                                                        • shfl_down() +: alpaka::warp::trait::ShflDown< WarpSingleThread > +, alpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn > +
                                                                                        • +
                                                                                        • shfl_up() +: alpaka::warp::trait::ShflUp< WarpSingleThread > +, alpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn > +
                                                                                        • +
                                                                                        • shfl_xor() +: alpaka::warp::trait::ShflXor< WarpSingleThread > +, alpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn >
                                                                                        • singleRound() : alpaka::rand::engine::PhiloxStateless< TBackend, TParams > @@ -127,18 +139,18 @@

                                                                                          - s -

                                                                                          • SrcSize : alpaka::detail::TaskCopyCpuBase< TDim, TViewDst, TViewSrc, TExtent >
                                                                                          • -
                                                                                          • State -: alpaka::rand::engine::PhiloxSingle< TAcc, TParams > -
                                                                                          • state : alpaka::rand::engine::PhiloxSingle< TAcc, TParams >
                                                                                          • State -: alpaka::rand::engine::PhiloxVector< TAcc, TParams > +: alpaka::rand::engine::PhiloxSingle< TAcc, TParams >
                                                                                          • state : alpaka::rand::engine::PhiloxVector< TAcc, TParams >
                                                                                          • +
                                                                                          • State +: alpaka::rand::engine::PhiloxVector< TAcc, TParams > +
                                                                                          • Static : alpaka::omp::Schedule
                                                                                          • @@ -214,7 +226,7 @@

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                                                                                              diff --git a/functions_t.html b/functions_t.html index 6ed48bad41e0..aa203ab0b3e5 100644 --- a/functions_t.html +++ b/functions_t.html @@ -380,7 +380,7 @@

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                                                                                                    diff --git a/functions_type_c.html b/functions_type_c.html index f3ca1703fde2..4ed94b7fa4eb 100644 --- a/functions_type_c.html +++ b/functions_type_c.html @@ -107,7 +107,7 @@

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                                                                                                          diff --git a/functions_type_f.html b/functions_type_f.html index 67ee2ed3cbde..d5ec3975e410 100644 --- a/functions_type_f.html +++ b/functions_type_f.html @@ -98,7 +98,7 @@

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                                                                                                              diff --git a/functions_type_i.html b/functions_type_i.html index f413b6cd2ee8..1b5638ee5fc0 100644 --- a/functions_type_i.html +++ b/functions_type_i.html @@ -103,7 +103,7 @@

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                                                                                                                    diff --git a/functions_type_m.html b/functions_type_m.html index 05590c17125c..10604d18e52d 100644 --- a/functions_type_m.html +++ b/functions_type_m.html @@ -98,7 +98,7 @@

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                                                                                                                      diff --git a/functions_type_p.html b/functions_type_p.html index 0949652c4327..9b6bd8b64e6a 100644 --- a/functions_type_p.html +++ b/functions_type_p.html @@ -102,7 +102,7 @@

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                                                                                                                        diff --git a/functions_type_q.html b/functions_type_q.html index a0de44ee0f57..611e3ac6128e 100644 --- a/functions_type_q.html +++ b/functions_type_q.html @@ -99,7 +99,7 @@

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                                                                                                                          diff --git a/functions_type_r.html b/functions_type_r.html index 889e3d7f9409..b3d4481e8f7b 100644 --- a/functions_type_r.html +++ b/functions_type_r.html @@ -113,7 +113,7 @@

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                                                                                                                                            diff --git a/functions_x.html b/functions_x.html index 5d3c60c6ca7c..3842f7f281c2 100644 --- a/functions_x.html +++ b/functions_x.html @@ -95,7 +95,7 @@

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                                                                                                                                                diff --git a/functions_~.html b/functions_~.html index a8cbaccf96b3..a864f02179d9 100644 --- a/functions_~.html +++ b/functions_~.html @@ -119,7 +119,7 @@

                                                                                                                                                - ~ -

                                                                                                                                                  diff --git a/globals.html b/globals.html index 7af0f0dc5b6d..81d2d802570b 100644 --- a/globals.html +++ b/globals.html @@ -342,7 +342,7 @@

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                                                                                                                                                    diff --git a/globals_defs.html b/globals_defs.html index 10e09e600c09..a212bdfcf3c2 100644 --- a/globals_defs.html +++ b/globals_defs.html @@ -284,7 +284,7 @@

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                                                                                                                                                      diff --git a/globals_func.html b/globals_func.html index fa4b95f0f69f..e4d30262b4fd 100644 --- a/globals_func.html +++ b/globals_func.html @@ -141,7 +141,7 @@ diff --git a/globals_type.html b/globals_type.html index 5bed56245444..15ee60507e7d 100644 --- a/globals_type.html +++ b/globals_type.html @@ -93,7 +93,7 @@ diff --git a/hierarchy.html b/hierarchy.html index 2cd382d6968e..33cc1300e82d 100644 --- a/hierarchy.html +++ b/hierarchy.html @@ -1032,544 +1032,553 @@  Calpaka::warp::trait::Shfl< TWarp, TSfinae >The shfl warp swizzling trait  Calpaka::warp::trait::Shfl< WarpSingleThread >  Calpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn > - Calpaka::detail::BlockSharedMemStMemberImpl< core::vectorization::defaultAlignment > - Calpaka::BlockSharedMemStMember< TDataAlignBytes >Static block shared memory provider using a pointer to externally allocated fixed-size memory, likely provided by BlockSharedMemDynMember - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::BlockSharedMemStMemberMasterSync< TDataAlignBytes > - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Cdetail::CudaVectorArrayTypeTraits::type - Calpaka::meta::CudaVectorArrayWrapper< TScalar, 1 > - Cdetail::CudaVectorArrayTypeTraits::type - Calpaka::meta::CudaVectorArrayWrapper< TScalar, 2 > - Cdetail::CudaVectorArrayTypeTraits::type - Calpaka::meta::CudaVectorArrayWrapper< TScalar, 3 > - Cdetail::CudaVectorArrayTypeTraits::type - Calpaka::meta::CudaVectorArrayWrapper< TScalar, 4 > - Calpaka::trait::DevType< TView > - Calpaka::trait::DevType< ViewConst< TView > > - Calpaka::trait::DimType< TView > - Calpaka::trait::DimType< ViewConst< TView > > - Calpaka::trait::GetExtents< TCudaHipBuiltin > - Calpaka::trait::GetOffsets< TCudaHipBuiltin, std::enable_if_t< alpaka::detail::isCudaHipBuiltInType< TCudaHipBuiltin > > > - Calpaka::trait::IdxType< TView > - Calpaka::trait::IdxType< ViewConst< TView > > - Calpaka::concepts::Implements< ConceptAcc, AccCpuOmp2Blocks< TDim, TIdx > > - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::concepts::Implements< ConceptAcc, AccCpuOmp2Threads< TDim, TIdx > > - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::concepts::Implements< ConceptAcc, AccCpuSerial< TDim, TIdx > > - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::concepts::Implements< ConceptAcc, AccCpuThreads< TDim, TIdx > > - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptAcc, AccGpuUniformCudaHipRt< TApi, TDim, TIdx > > - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptBlockSharedDyn, BlockSharedMemDynMember< BlockSharedDynMemberAllocKiB > > - Calpaka::BlockSharedMemDynMember< TStaticAllocKiB >Dynamic block shared memory provider using fixed-size member array to allocate memory on the stack or in shared memory - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptBlockSharedDyn, BlockSharedMemDynUniformCudaHipBuiltIn > - Calpaka::BlockSharedMemDynUniformCudaHipBuiltInThe GPU CUDA/HIP block shared memory allocator - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptBlockSharedSt, BlockSharedMemStMember< core::vectorization::defaultAlignment > > - Calpaka::BlockSharedMemStMember< TDataAlignBytes >Static block shared memory provider using a pointer to externally allocated fixed-size memory, likely provided by BlockSharedMemDynMember - Calpaka::concepts::Implements< ConceptBlockSharedSt, BlockSharedMemStMemberMasterSync< core::vectorization::defaultAlignment > > - Calpaka::BlockSharedMemStMemberMasterSync< TDataAlignBytes > - Calpaka::concepts::Implements< ConceptBlockSharedSt, BlockSharedMemStUniformCudaHipBuiltIn > - Calpaka::BlockSharedMemStUniformCudaHipBuiltInThe GPU CUDA/HIP block shared memory allocator - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptBlockSync, BlockSyncBarrierOmp > - Calpaka::BlockSyncBarrierOmpThe OpenMP barrier block synchronization - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::concepts::Implements< ConceptBlockSync, BlockSyncBarrierThread< TIdx > > - Calpaka::BlockSyncBarrierThread< TIdx >The thread id map barrier block synchronization - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptBlockSync, BlockSyncNoOp > - Calpaka::BlockSyncNoOpThe no op block synchronization - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::concepts::Implements< ConceptBlockSync, BlockSyncUniformCudaHipBuiltIn > - Calpaka::BlockSyncUniformCudaHipBuiltInThe GPU CUDA/HIP block synchronization - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, DevCpu > - Calpaka::DevCpuThe CPU device handle - Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, DevUniformCudaHipRt< TApi > > - Calpaka::DevUniformCudaHipRt< TApi >The CUDA/HIP RT device handle - Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, EventGenericThreads< TDev > > - Calpaka::EventGenericThreads< TDev >The CPU device event - Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, EventGenericThreadsImpl< TDev > > - Calpaka::generic::detail::EventGenericThreadsImpl< TDev >The CPU device event implementation - Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, EventUniformCudaHipRt< TApi > > - Calpaka::EventUniformCudaHipRt< TApi >The CUDA/HIP RT device event - Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, QueueCpuOmp2Collective > - Calpaka::QueueCpuOmp2CollectiveThe CPU collective device queue - Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, QueueGenericThreadsBlocking< TDev > > - Calpaka::QueueGenericThreadsBlocking< TDev >The CPU device queue - Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, QueueGenericThreadsNonBlocking< TDev > > - Calpaka::QueueGenericThreadsNonBlocking< TDev >The CPU device queue - Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, QueueUniformCudaHipRt< TApi, TBlocking > > - Calpaka::uniform_cuda_hip::detail::QueueUniformCudaHipRt< TApi, TBlocking >The CUDA/HIP RT queue - Calpaka::concepts::Implements< ConceptDev, DevCpu > + Calpaka::warp::trait::ShflDown< TWarp, TSfinae >The shfl down warp swizzling trait + Calpaka::warp::trait::ShflDown< WarpSingleThread > + Calpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn > + Calpaka::warp::trait::ShflUp< TWarp, TSfinae >The shfl up warp swizzling trait + Calpaka::warp::trait::ShflUp< WarpSingleThread > + Calpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn > + Calpaka::warp::trait::ShflXor< TWarp, TSfinae >The shfl xor warp swizzling trait + Calpaka::warp::trait::ShflXor< WarpSingleThread > + Calpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn > + Calpaka::detail::BlockSharedMemStMemberImpl< core::vectorization::defaultAlignment > + Calpaka::BlockSharedMemStMember< TDataAlignBytes >Static block shared memory provider using a pointer to externally allocated fixed-size memory, likely provided by BlockSharedMemDynMember + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::BlockSharedMemStMemberMasterSync< TDataAlignBytes > + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Cdetail::CudaVectorArrayTypeTraits::type + Calpaka::meta::CudaVectorArrayWrapper< TScalar, 1 > + Cdetail::CudaVectorArrayTypeTraits::type + Calpaka::meta::CudaVectorArrayWrapper< TScalar, 2 > + Cdetail::CudaVectorArrayTypeTraits::type + Calpaka::meta::CudaVectorArrayWrapper< TScalar, 3 > + Cdetail::CudaVectorArrayTypeTraits::type + Calpaka::meta::CudaVectorArrayWrapper< TScalar, 4 > + Calpaka::trait::DevType< TView > + Calpaka::trait::DevType< ViewConst< TView > > + Calpaka::trait::DimType< TView > + Calpaka::trait::DimType< ViewConst< TView > > + Calpaka::trait::GetExtents< TCudaHipBuiltin > + Calpaka::trait::GetOffsets< TCudaHipBuiltin, std::enable_if_t< alpaka::detail::isCudaHipBuiltInType< TCudaHipBuiltin > > > + Calpaka::trait::IdxType< TView > + Calpaka::trait::IdxType< ViewConst< TView > > + Calpaka::concepts::Implements< ConceptAcc, AccCpuOmp2Blocks< TDim, TIdx > > + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::concepts::Implements< ConceptAcc, AccCpuOmp2Threads< TDim, TIdx > > + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::concepts::Implements< ConceptAcc, AccCpuSerial< TDim, TIdx > > + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::concepts::Implements< ConceptAcc, AccCpuThreads< TDim, TIdx > > + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptAcc, AccGpuUniformCudaHipRt< TApi, TDim, TIdx > > + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptBlockSharedDyn, BlockSharedMemDynMember< BlockSharedDynMemberAllocKiB > > + Calpaka::BlockSharedMemDynMember< TStaticAllocKiB >Dynamic block shared memory provider using fixed-size member array to allocate memory on the stack or in shared memory + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptBlockSharedDyn, BlockSharedMemDynUniformCudaHipBuiltIn > + Calpaka::BlockSharedMemDynUniformCudaHipBuiltInThe GPU CUDA/HIP block shared memory allocator + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptBlockSharedSt, BlockSharedMemStMember< core::vectorization::defaultAlignment > > + Calpaka::BlockSharedMemStMember< TDataAlignBytes >Static block shared memory provider using a pointer to externally allocated fixed-size memory, likely provided by BlockSharedMemDynMember + Calpaka::concepts::Implements< ConceptBlockSharedSt, BlockSharedMemStMemberMasterSync< core::vectorization::defaultAlignment > > + Calpaka::BlockSharedMemStMemberMasterSync< TDataAlignBytes > + Calpaka::concepts::Implements< ConceptBlockSharedSt, BlockSharedMemStUniformCudaHipBuiltIn > + Calpaka::BlockSharedMemStUniformCudaHipBuiltInThe GPU CUDA/HIP block shared memory allocator + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptBlockSync, BlockSyncBarrierOmp > + Calpaka::BlockSyncBarrierOmpThe OpenMP barrier block synchronization + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::concepts::Implements< ConceptBlockSync, BlockSyncBarrierThread< TIdx > > + Calpaka::BlockSyncBarrierThread< TIdx >The thread id map barrier block synchronization + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptBlockSync, BlockSyncNoOp > + Calpaka::BlockSyncNoOpThe no op block synchronization + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::concepts::Implements< ConceptBlockSync, BlockSyncUniformCudaHipBuiltIn > + Calpaka::BlockSyncUniformCudaHipBuiltInThe GPU CUDA/HIP block synchronization + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, DevCpu >  Calpaka::DevCpuThe CPU device handle - Calpaka::concepts::Implements< ConceptDev, DevUniformCudaHipRt< TApi > > + Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, DevUniformCudaHipRt< TApi > >  Calpaka::DevUniformCudaHipRt< TApi >The CUDA/HIP RT device handle - Calpaka::concepts::Implements< ConceptGetDev, EventGenericThreads< TDev > > + Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, EventGenericThreads< TDev > >  Calpaka::EventGenericThreads< TDev >The CPU device event - Calpaka::concepts::Implements< ConceptGetDev, EventUniformCudaHipRt< TApi > > - Calpaka::EventUniformCudaHipRt< TApi >The CUDA/HIP RT device event - Calpaka::concepts::Implements< ConceptGetDev, QueueGenericThreadsBlocking< TDev > > - Calpaka::QueueGenericThreadsBlocking< TDev >The CPU device queue - Calpaka::concepts::Implements< ConceptGetDev, QueueGenericThreadsNonBlocking< TDev > > - Calpaka::QueueGenericThreadsNonBlocking< TDev >The CPU device queue - Calpaka::concepts::Implements< ConceptGetDev, QueueUniformCudaHipRt< TApi, TBlocking > > - Calpaka::uniform_cuda_hip::detail::QueueUniformCudaHipRt< TApi, TBlocking >The CUDA/HIP RT queue - Calpaka::concepts::Implements< ConceptIdxBt, IdxBtLinear< TDim, TIdx > > - Calpaka::bt::IdxBtLinear< TDim, TIdx >General ND bt index provider based on a linear index - Calpaka::concepts::Implements< ConceptIdxBt, IdxBtOmp< TDim, TIdx > > - Calpaka::bt::IdxBtOmp< TDim, TIdx >The OpenMP accelerator index provider - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::concepts::Implements< ConceptIdxBt, IdxBtRefThreadIdMap< TDim, TIdx > > - Calpaka::bt::IdxBtRefThreadIdMap< TDim, TIdx >The threads accelerator index provider - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptIdxBt, IdxBtUniformCudaHipBuiltIn< TDim, TIdx > > - Calpaka::bt::IdxBtUniformCudaHipBuiltIn< TDim, TIdx >The CUDA/HIP accelerator ND index provider - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptIdxBt, IdxBtZero< TDim, TIdx > > - Calpaka::bt::IdxBtZero< TDim, TIdx >A zero block thread index provider - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::concepts::Implements< ConceptIdxGb, IdxGbLinear< TDim, TIdx > > - Calpaka::gb::IdxGbLinear< TDim, TIdx >General ND index provider based on a linear index - Calpaka::concepts::Implements< ConceptIdxGb, IdxGbRef< TDim, TIdx > > - Calpaka::gb::IdxGbRef< TDim, TIdx >A IdxGbRef grid block index - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptIdxGb, IdxGbUniformCudaHipBuiltIn< TDim, TIdx > > - Calpaka::gb::IdxGbUniformCudaHipBuiltIn< TDim, TIdx >The CUDA/HIP accelerator ND index provider - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptIntrinsic, IntrinsicCpu > - Calpaka::IntrinsicCpuThe CPU intrinsic - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptIntrinsic, IntrinsicFallback > - Calpaka::IntrinsicFallbackThe Fallback intrinsic - Calpaka::concepts::Implements< ConceptIntrinsic, IntrinsicUniformCudaHipBuiltIn > - Calpaka::IntrinsicUniformCudaHipBuiltInThe GPU CUDA/HIP intrinsic - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptMathAbs, AbsStdLib > - Calpaka::math::AbsStdLibThe standard library abs, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptMathAbs, AbsUniformCudaHipBuiltIn > - Calpaka::math::AbsUniformCudaHipBuiltInThe CUDA built in abs - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptMathAcos, AcosStdLib > - Calpaka::math::AcosStdLibThe standard library acos, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAcos, AcosUniformCudaHipBuiltIn > - Calpaka::math::AcosUniformCudaHipBuiltInThe CUDA built in acos - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAcosh, AcoshStdLib > - Calpaka::math::AcoshStdLibThe standard library acos, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAcosh, AcoshUniformCudaHipBuiltIn > - Calpaka::math::AcoshUniformCudaHipBuiltInThe CUDA built in acosh - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathArg, ArgStdLib > - Calpaka::math::ArgStdLibThe standard library arg, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathArg, ArgUniformCudaHipBuiltIn > - Calpaka::math::ArgUniformCudaHipBuiltInThe CUDA built in arg - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAsin, AsinStdLib > - Calpaka::math::AsinStdLibThe standard library asin, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAsin, AsinUniformCudaHipBuiltIn > - Calpaka::math::AsinUniformCudaHipBuiltInThe CUDA built in asin - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAsinh, AsinhStdLib > - Calpaka::math::AsinhStdLibThe standard library asinh, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAsinh, AsinhUniformCudaHipBuiltIn > - Calpaka::math::AsinhUniformCudaHipBuiltInThe CUDA built in asinh - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAtan, AtanStdLib > - Calpaka::math::AtanStdLibThe standard library atan, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAtan, AtanUniformCudaHipBuiltIn > - Calpaka::math::AtanUniformCudaHipBuiltInThe CUDA built in atan - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAtan2, Atan2StdLib > - Calpaka::math::Atan2StdLibThe standard library atan2, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAtan2, Atan2UniformCudaHipBuiltIn > - Calpaka::math::Atan2UniformCudaHipBuiltInThe CUDA built in atan2 - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAtanh, AtanhStdLib > - Calpaka::math::AtanhStdLibThe standard library atanh, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathAtanh, AtanhUniformCudaHipBuiltIn > - Calpaka::math::AtanhUniformCudaHipBuiltInThe CUDA built in atanh - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCbrt, CbrtStdLib > - Calpaka::math::CbrtStdLibThe standard library cbrt, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCbrt, CbrtUniformCudaHipBuiltIn > - Calpaka::math::CbrtUniformCudaHipBuiltInThe CUDA built in cbrt - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCeil, CeilStdLib > - Calpaka::math::CeilStdLibThe standard library ceil, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCeil, CeilUniformCudaHipBuiltIn > - Calpaka::math::CeilUniformCudaHipBuiltInThe CUDA built in ceil - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathConj, ConjStdLib > - Calpaka::math::ConjStdLibThe standard library conj, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathConj, ConjUniformCudaHipBuiltIn > - Calpaka::math::ConjUniformCudaHipBuiltInThe CUDA built in conj - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCopysign, CopysignStdLib > - Calpaka::math::CopysignStdLibThe standard library copysign, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCopysign, CopysignUniformCudaHipBuiltIn > - Calpaka::math::CopysignUniformCudaHipBuiltInThe CUDA built in copysign - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCos, CosStdLib > - Calpaka::math::CosStdLibThe standard library cos, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCos, CosUniformCudaHipBuiltIn > - Calpaka::math::CosUniformCudaHipBuiltInThe CUDA built in cos - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCosh, CoshStdLib > - Calpaka::math::CoshStdLibThe standard library cosh, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathCosh, CoshUniformCudaHipBuiltIn > - Calpaka::math::CoshUniformCudaHipBuiltInThe CUDA built in cosh - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathErf, ErfStdLib > - Calpaka::math::ErfStdLibThe standard library erf, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathErf, ErfUniformCudaHipBuiltIn > - Calpaka::math::ErfUniformCudaHipBuiltInThe CUDA built in erf - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathExp, ExpStdLib > - Calpaka::math::ExpStdLibThe standard library exp, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathExp, ExpUniformCudaHipBuiltIn > - Calpaka::math::ExpUniformCudaHipBuiltInThe CUDA built in exp - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathFloor, FloorStdLib > - Calpaka::math::FloorStdLibThe standard library floor, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathFloor, FloorUniformCudaHipBuiltIn > - Calpaka::math::FloorUniformCudaHipBuiltInThe CUDA built in floor - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathFma, FmaStdLib > - Calpaka::math::FmaStdLibThe standard library fma, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathFma, FmaUniformCudaHipBuiltIn > - Calpaka::math::FmaUniformCudaHipBuiltInThe CUDA built in fma - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathFmod, FmodStdLib > - Calpaka::math::FmodStdLibThe standard library fmod, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathFmod, FmodUniformCudaHipBuiltIn > - Calpaka::math::FmodUniformCudaHipBuiltInThe CUDA built in fmod - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathIsfinite, IsfiniteStdLib > - Calpaka::math::IsfiniteStdLibThe standard library isfinite, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathIsfinite, IsfiniteUniformCudaHipBuiltIn > - Calpaka::math::IsfiniteUniformCudaHipBuiltInThe CUDA built in isfinite - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathIsinf, IsinfStdLib > - Calpaka::math::IsinfStdLibThe standard library isinf, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathIsinf, IsinfUniformCudaHipBuiltIn > - Calpaka::math::IsinfUniformCudaHipBuiltInThe CUDA built in isinf - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathIsnan, IsnanStdLib > - Calpaka::math::IsnanStdLibThe standard library isnan, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathIsnan, IsnanUniformCudaHipBuiltIn > - Calpaka::math::IsnanUniformCudaHipBuiltInThe CUDA built in isnan - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathLog, LogStdLib > - Calpaka::math::LogStdLibThe standard library log, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathLog, LogUniformCudaHipBuiltIn > - Calpaka::math::LogUniformCudaHipBuiltIn - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathLog10, Log10StdLib > - Calpaka::math::Log10StdLibThe standard library log10, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathLog10, Log10UniformCudaHipBuiltIn > - Calpaka::math::Log10UniformCudaHipBuiltIn - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathLog2, Log2StdLib > - Calpaka::math::Log2StdLibThe standard library log2, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathLog2, Log2UniformCudaHipBuiltIn > - Calpaka::math::Log2UniformCudaHipBuiltIn - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathMax, MaxStdLib > - Calpaka::math::MaxStdLibThe standard library max - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathMax, MaxUniformCudaHipBuiltIn > - Calpaka::math::MaxUniformCudaHipBuiltInThe CUDA built in max - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathMin, MinStdLib > - Calpaka::math::MinStdLibThe standard library min - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathMin, MinUniformCudaHipBuiltIn > - Calpaka::math::MinUniformCudaHipBuiltInThe CUDA built in min - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathPow, PowStdLib > - Calpaka::math::PowStdLibThe standard library pow, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathPow, PowUniformCudaHipBuiltIn > - Calpaka::math::PowUniformCudaHipBuiltInThe CUDA built in pow - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathRemainder, RemainderStdLib > - Calpaka::math::RemainderStdLibThe standard library remainder, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathRemainder, RemainderUniformCudaHipBuiltIn > - Calpaka::math::RemainderUniformCudaHipBuiltInThe CUDA built in remainder - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathRound, RoundStdLib > - Calpaka::math::RoundStdLibThe standard library round, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathRound, RoundUniformCudaHipBuiltIn > - Calpaka::math::RoundUniformCudaHipBuiltInThe CUDA round - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathRsqrt, RsqrtStdLib > - Calpaka::math::RsqrtStdLibThe standard library rsqrt, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathRsqrt, RsqrtUniformCudaHipBuiltIn > - Calpaka::math::RsqrtUniformCudaHipBuiltInThe CUDA rsqrt - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathSin, SinStdLib > - Calpaka::math::SinStdLibThe standard library sin, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathSin, SinUniformCudaHipBuiltIn > - Calpaka::math::SinUniformCudaHipBuiltInThe CUDA sin - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathSinCos, SinCosStdLib > - Calpaka::math::SinCosStdLibThe standard library sincos, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathSinCos, SinCosUniformCudaHipBuiltIn > - Calpaka::math::SinCosUniformCudaHipBuiltInThe CUDA sincos - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathSinh, SinhStdLib > - Calpaka::math::SinhStdLibThe standard library sinh, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathSinh, SinhUniformCudaHipBuiltIn > - Calpaka::math::SinhUniformCudaHipBuiltInThe CUDA sinh - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathSqrt, SqrtStdLib > - Calpaka::math::SqrtStdLibThe standard library sqrt, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathSqrt, SqrtUniformCudaHipBuiltIn > - Calpaka::math::SqrtUniformCudaHipBuiltInThe CUDA sqrt - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathTan, TanStdLib > - Calpaka::math::TanStdLibThe standard library tan, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathTan, TanUniformCudaHipBuiltIn > - Calpaka::math::TanUniformCudaHipBuiltInThe CUDA tan - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathTanh, TanhStdLib > - Calpaka::math::TanhStdLibThe standard library tanh, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathTanh, TanhUniformCudaHipBuiltIn > - Calpaka::math::TanhUniformCudaHipBuiltInThe CUDA tanh - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathTrunc, TruncStdLib > - Calpaka::math::TruncStdLibThe standard library trunc, implementation covered by the general template - Calpaka::math::MathStdLibThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMathTrunc, TruncUniformCudaHipBuiltIn > - Calpaka::math::TruncUniformCudaHipBuiltInThe CUDA trunc - Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations - Calpaka::concepts::Implements< ConceptMemAlloc, AllocCpuAligned< TAlignment > > - Calpaka::AllocCpuAligned< TAlignment >The CPU boost aligned allocator - Calpaka::concepts::Implements< ConceptMemAlloc, AllocCpuNew > - Calpaka::AllocCpuNewThe CPU new allocator - Calpaka::concepts::Implements< ConceptMemFence, MemFenceCpu > - Calpaka::MemFenceCpuThe default CPU memory fence - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptMemFence, MemFenceCpuSerial > - Calpaka::MemFenceCpuSerialThe serial CPU memory fence - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::concepts::Implements< ConceptMemFence, MemFenceOmp2Blocks > - Calpaka::MemFenceOmp2BlocksThe CPU OpenMP 2.0 block memory fence - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::concepts::Implements< ConceptMemFence, MemFenceOmp2Threads > - Calpaka::MemFenceOmp2ThreadsThe CPU OpenMP 2.0 block memory fence - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::concepts::Implements< ConceptMemFence, MemFenceUniformCudaHipBuiltIn > - Calpaka::MemFenceUniformCudaHipBuiltInThe GPU CUDA/HIP memory fence - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptPlatform, PlatformCpu > - Calpaka::PlatformCpuThe CPU device platform - Calpaka::concepts::Implements< ConceptPlatform, PlatformUniformCudaHipRt< TApi > > - Calpaka::PlatformUniformCudaHipRt< TApi >The CUDA/HIP RT platform - Calpaka::concepts::Implements< ConceptQueue, QueueGenericThreadsBlocking< TDev > > - Calpaka::QueueGenericThreadsBlocking< TDev >The CPU device queue - Calpaka::concepts::Implements< ConceptQueue, QueueGenericThreadsNonBlocking< TDev > > - Calpaka::QueueGenericThreadsNonBlocking< TDev >The CPU device queue - Calpaka::concepts::Implements< ConceptQueue, QueueUniformCudaHipRt< TApi, TBlocking > > - Calpaka::uniform_cuda_hip::detail::QueueUniformCudaHipRt< TApi, TBlocking >The CUDA/HIP RT queue - Calpaka::concepts::Implements< ConceptRand, MersenneTwister > - Calpaka::rand::MersenneTwisterThe standard library mersenne twister implementation - Calpaka::concepts::Implements< ConceptRand, Philox4x32x10< TAcc > > - Calpaka::rand::Philox4x32x10< TAcc > - Calpaka::concepts::Implements< ConceptRand, Philox4x32x10Vector< TAcc > > - Calpaka::rand::Philox4x32x10Vector< TAcc > - Calpaka::concepts::Implements< ConceptRand, PhiloxStateless4x32x10Vector< TAcc > > - Calpaka::rand::PhiloxStateless4x32x10Vector< TAcc > - Calpaka::concepts::Implements< ConceptRand, RandDefault > - Calpaka::rand::RandDefault - Calpaka::concepts::Implements< ConceptRand, RandomDevice > - Calpaka::rand::RandomDeviceThe standard library rand device implementation - Calpaka::concepts::Implements< ConceptRand, RandUniformCudaHipRand< TApi > > - Calpaka::rand::RandUniformCudaHipRand< TApi >The CUDA/HIP rand implementation - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptRand, TinyMersenneTwister > - Calpaka::rand::TinyMersenneTwister"Tiny" state mersenne twister implementation - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptRand, UniformReal< TResult > > - Calpaka::rand::UniformReal< TResult, TSfinae >TEMP: Distributions to be decided on later. The generator should be compatible with STL as of now - Calpaka::concepts::Implements< ConceptWarp, WarpSingleThread > - Calpaka::warp::WarpSingleThreadThe single-threaded warp to emulate it on CPUs - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::concepts::Implements< ConceptWarp, WarpUniformCudaHipBuiltIn > - Calpaka::warp::WarpUniformCudaHipBuiltInThe GPU CUDA/HIP warp - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::concepts::Implements< ConceptWorkDiv, WorkDivMembers< TDim, TIdx > > - Calpaka::WorkDivMembers< TDim, TIdx >A basic class holding the work division as grid block extent, block thread and thread element extent - Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator - Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator - Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator - Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator - Calpaka::TaskKernelCpuOmp2Blocks< TDim, TIdx, TKernelFnObj, TArgs >The CPU OpenMP 2.0 block accelerator execution task - Calpaka::TaskKernelCpuOmp2Threads< TDim, TIdx, TKernelFnObj, TArgs >The CPU OpenMP 2.0 thread accelerator execution task - Calpaka::TaskKernelCpuSerial< TDim, TIdx, TKernelFnObj, TArgs >The CPU serial execution task implementation - Calpaka::TaskKernelCpuThreads< TDim, TIdx, TKernelFnObj, TArgs >The CPU threads execution task - Calpaka::TaskKernelGpuUniformCudaHipRt< TApi, TAcc, TDim, TIdx, TKernelFnObj, TArgs >The GPU CUDA/HIP accelerator execution task - Calpaka::concepts::Implements< ConceptWorkDiv, WorkDivUniformCudaHipBuiltIn< TDim, TIdx > > - Calpaka::WorkDivUniformCudaHipBuiltIn< TDim, TIdx >The GPU CUDA/HIP accelerator work division - Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator - Calpaka::meta::detail::IsParameterPackSetImpl< Ts... > - Calpaka::meta::detail::IsParameterPackSetImpl< T, Ts... > - Calpaka::rand::engine::PhiloxStateSingle< Counter, Key > - Calpaka::rand::engine::PhiloxStateVector< Counter, Key > - Cstd::bool_constant - Calpaka::IsKernelArgumentTriviallyCopyable< T, typename >Check if a type used as kernel argument is trivially copyable - Calpaka::meta::detail::NonZeroImpl< std::integral_constant< T, TValue > > - Cstd::bool_constant< std::is_same_v< TApi, ApiCudaRt > &&TApi::version > BOOST_VERSION_NUMBER - Calpaka::trait::HasAsyncBufSupport< TDim, DevUniformCudaHipRt< TApi > >The CUDA/HIP stream-ordered memory allocation capability trait specialization - Cstd::conditional_t - Calpaka::meta::detail::UniqueHelper< TList< Ts... >, U, Us... > - Cstd::false_type - Calpaka::meta::Contains< List, Value > - Calpaka::meta::DependentFalseType< T >A false_type being dependent on a ignored template parameter. This allows to use static_assert in uninstantiated template specializations without triggering - Calpaka::meta::IsArrayOrVector< T > - Calpaka::meta::detail::NonZeroImpl< T > - Calpaka::trait::HasAsyncBufSupport< TDim, TDev >The stream-ordered memory allocation capability trait - Calpaka::trait::HasMappedBufSupport< TPlatform >The pinned/mapped memory allocation capability trait - CalpakaGlobal::AlpakaBuiltInAtomic< TOp, T, THierarchy, TSfinae >Provide an interface to builtin atomic functions - Cstd::integral_constant - Calpaka::core::RoundUpToPowerOfTwo< N >Rounds to the next higher power of two (if not already power of two) - Calpaka::core::align::OptimalAlignment< TsizeBytes >Calculates the optimal alignment for data of the given size - Calpaka::core::detail::RoundUpToPowerOfTwoHelper< N, TisPowerTwo >Base case for N being a power of two - Calpaka::core::detail::RoundUpToPowerOfTwoHelper< N, false >Case for N not being a power of two - Calpaka::trait::WarpSize< TKernelFnObj, TAcc, TSfinae >The trait for getting the warp size required by a kernel - Cstd::tuple_size< alpaka::Vec< TDim, TVal > > - Cstd::tuple_size< alpaka::meta::CudaVectorArrayWrapper< T, N > >Specialization of std::tuple_size for float4_array - Cstd::true_type - Calpaka::meta::IsArrayOrVector< CudaVectorArrayWrapper< T, N > >Specialization of IsArrayOrVector for CUDA vector array wrapper - Calpaka::meta::IsArrayOrVector< T[N]> - Calpaka::meta::IsArrayOrVector< std::array< T, N > > - Calpaka::meta::IsArrayOrVector< std::vector< T, A > > - Calpaka::test::trait::IsBlockingQueue< QueueCpuOmp2Collective >The blocking queue trait specialization for a OpenMP2 collective CPU queue - Calpaka::trait::HasAsyncBufSupport< TDim, DevCpu >The BufCpu stream-ordered memory allocation capability trait specialization - Calpaka::trait::HasMappedBufSupport< PlatformCpu >The pinned/mapped memory allocation capability trait specialization - Calpaka::trait::HasMappedBufSupport< PlatformUniformCudaHipRt< TApi > >The pinned/mapped memory allocation capability trait specialization - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicAdd, T, THierarchy, typename std::void_t< decltype(atomicAdd(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicAdd, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicAdd_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicAnd, T, THierarchy, typename std::void_t< decltype(atomicAnd(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicAnd, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicAnd_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicCas, T, THierarchy, typename std::void_t< decltype(atomicCAS(alpaka::core::declval< T * >(), alpaka::core::declval< T >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicCas, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicCAS_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicDec, T, THierarchy, typename std::void_t< decltype(atomicDec(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicDec, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicDec_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicExch, T, THierarchy, typename std::void_t< decltype(atomicExch(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicExch, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicExch_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicInc, T, THierarchy, typename std::void_t< decltype(atomicInc(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicInc, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicInc_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicMax, T, THierarchy, typename std::void_t< decltype(atomicMax(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicMax, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicMax_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicMin, T, THierarchy, typename std::void_t< decltype(atomicMin(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicMin, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicMin_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicOr, T, THierarchy, typename std::void_t< decltype(atomicOr(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicOr, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicOr_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicSub, T, THierarchy, typename std::void_t< decltype(atomicSub(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicSub, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicSub_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicXor, T, THierarchy, typename std::void_t< decltype(atomicXor(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicXor, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicXor_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > - Cstd::tuple_element< I, alpaka::Vec< TDim, TVal > > - Calpaka::detail::TaskCopyCpuBase< DimInt< 1u >, TViewDst, TViewSrc, TExtent > - Calpaka::detail::TaskCopyCpu< DimInt< 1u >, TViewDst, TViewSrc, TExtent >The CPU device 1D memory copy task - Calpaka::detail::TaskSetCpuBase< DimInt< 1u >, TView, TExtent > - Calpaka::detail::TaskSetCpu< DimInt< 1u >, TView, TExtent >The CPU device 1D memory set task - Calpaka::detail::TaskSetUniformCudaHipBase< TApi, DimInt< 0u >, TView, TExtent > - Calpaka::detail::TaskSetUniformCudaHip< TApi, DimInt< 0u >, TView, TExtent >The scalar CUDA/HIP memory set task - Calpaka::detail::TaskSetUniformCudaHipBase< TApi, DimInt< 1u >, TView, TExtent > - Calpaka::detail::TaskSetUniformCudaHip< TApi, DimInt< 1u >, TView, TExtent >The 1D CUDA/HIP memory set task - Calpaka::detail::TaskSetUniformCudaHipBase< TApi, DimInt< 2u >, TView, TExtent > - Calpaka::detail::TaskSetUniformCudaHip< TApi, DimInt< 2u >, TView, TExtent >The 2D CUDA/HIP memory set task - Calpaka::detail::TaskSetUniformCudaHipBase< TApi, DimInt< 3u >, TView, TExtent > - Calpaka::detail::TaskSetUniformCudaHip< TApi, DimInt< 3u >, TView, TExtent >The 3D CUDA/HIP memory set task - CTBackend - Calpaka::rand::engine::PhiloxBaseCommon< TBackend, TParams, TImpl > - CTDim::value - Calpaka::trait::HasAsyncBufSupport< TDim, DevUniformCudaHipRt< TApi > >The CUDA/HIP stream-ordered memory allocation capability trait specialization - CTINYMT32_T - Calpaka::Vec< Dim, Idx > - Calpaka::Vec< TDim, DstSize > - Calpaka::Vec< TDim, ExtentSize > - Calpaka::Vec< TDim, SrcSize > - Calpaka::Vec< TDim, TIdx > - Calpaka::internal::ViewAccessOps< BufCpu< TElem, TDim, TIdx > > - Calpaka::BufCpu< TElem, TDim, TIdx >The CPU memory buffer - Calpaka::internal::ViewAccessOps< BufUniformCudaHipRt< TApi, TElem, TDim, TIdx > > - Calpaka::BufUniformCudaHipRt< TApi, TElem, TDim, TIdx >The CUDA/HIP memory buffer - Calpaka::internal::ViewAccessOps< ViewConst< TView > > - Calpaka::ViewConst< TView >A non-modifiable wrapper around a view. This view acts as the wrapped view, but the underlying data is only exposed const-qualified - Calpaka::internal::ViewAccessOps< ViewPlainPtr< TDev, TElem, TDim, TIdx > > - Calpaka::ViewPlainPtr< TDev, TElem, TDim, TIdx >The memory view to wrap plain pointers - Calpaka::internal::ViewAccessOps< ViewSubView< TDev, TElem, TDim, TIdx > > - Calpaka::ViewSubView< TDev, TElem, TDim, TIdx >A sub-view to a view - Calpaka::meta::TBases - Calpaka::meta::InheritFromList< TList< TBases... > > + Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, EventGenericThreadsImpl< TDev > > + Calpaka::generic::detail::EventGenericThreadsImpl< TDev >The CPU device event implementation + Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, EventUniformCudaHipRt< TApi > > + Calpaka::EventUniformCudaHipRt< TApi >The CUDA/HIP RT device event + Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, QueueCpuOmp2Collective > + Calpaka::QueueCpuOmp2CollectiveThe CPU collective device queue + Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, QueueGenericThreadsBlocking< TDev > > + Calpaka::QueueGenericThreadsBlocking< TDev >The CPU device queue + Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, QueueGenericThreadsNonBlocking< TDev > > + Calpaka::QueueGenericThreadsNonBlocking< TDev >The CPU device queue + Calpaka::concepts::Implements< ConceptCurrentThreadWaitFor, QueueUniformCudaHipRt< TApi, TBlocking > > + Calpaka::uniform_cuda_hip::detail::QueueUniformCudaHipRt< TApi, TBlocking >The CUDA/HIP RT queue + Calpaka::concepts::Implements< ConceptDev, DevCpu > + Calpaka::DevCpuThe CPU device handle + Calpaka::concepts::Implements< ConceptDev, DevUniformCudaHipRt< TApi > > + Calpaka::DevUniformCudaHipRt< TApi >The CUDA/HIP RT device handle + Calpaka::concepts::Implements< ConceptGetDev, EventGenericThreads< TDev > > + Calpaka::EventGenericThreads< TDev >The CPU device event + Calpaka::concepts::Implements< ConceptGetDev, EventUniformCudaHipRt< TApi > > + Calpaka::EventUniformCudaHipRt< TApi >The CUDA/HIP RT device event + Calpaka::concepts::Implements< ConceptGetDev, QueueGenericThreadsBlocking< TDev > > + Calpaka::QueueGenericThreadsBlocking< TDev >The CPU device queue + Calpaka::concepts::Implements< ConceptGetDev, QueueGenericThreadsNonBlocking< TDev > > + Calpaka::QueueGenericThreadsNonBlocking< TDev >The CPU device queue + Calpaka::concepts::Implements< ConceptGetDev, QueueUniformCudaHipRt< TApi, TBlocking > > + Calpaka::uniform_cuda_hip::detail::QueueUniformCudaHipRt< TApi, TBlocking >The CUDA/HIP RT queue + Calpaka::concepts::Implements< ConceptIdxBt, IdxBtLinear< TDim, TIdx > > + Calpaka::bt::IdxBtLinear< TDim, TIdx >General ND bt index provider based on a linear index + Calpaka::concepts::Implements< ConceptIdxBt, IdxBtOmp< TDim, TIdx > > + Calpaka::bt::IdxBtOmp< TDim, TIdx >The OpenMP accelerator index provider + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::concepts::Implements< ConceptIdxBt, IdxBtRefThreadIdMap< TDim, TIdx > > + Calpaka::bt::IdxBtRefThreadIdMap< TDim, TIdx >The threads accelerator index provider + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptIdxBt, IdxBtUniformCudaHipBuiltIn< TDim, TIdx > > + Calpaka::bt::IdxBtUniformCudaHipBuiltIn< TDim, TIdx >The CUDA/HIP accelerator ND index provider + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptIdxBt, IdxBtZero< TDim, TIdx > > + Calpaka::bt::IdxBtZero< TDim, TIdx >A zero block thread index provider + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::concepts::Implements< ConceptIdxGb, IdxGbLinear< TDim, TIdx > > + Calpaka::gb::IdxGbLinear< TDim, TIdx >General ND index provider based on a linear index + Calpaka::concepts::Implements< ConceptIdxGb, IdxGbRef< TDim, TIdx > > + Calpaka::gb::IdxGbRef< TDim, TIdx >A IdxGbRef grid block index + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptIdxGb, IdxGbUniformCudaHipBuiltIn< TDim, TIdx > > + Calpaka::gb::IdxGbUniformCudaHipBuiltIn< TDim, TIdx >The CUDA/HIP accelerator ND index provider + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptIntrinsic, IntrinsicCpu > + Calpaka::IntrinsicCpuThe CPU intrinsic + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptIntrinsic, IntrinsicFallback > + Calpaka::IntrinsicFallbackThe Fallback intrinsic + Calpaka::concepts::Implements< ConceptIntrinsic, IntrinsicUniformCudaHipBuiltIn > + Calpaka::IntrinsicUniformCudaHipBuiltInThe GPU CUDA/HIP intrinsic + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptMathAbs, AbsStdLib > + Calpaka::math::AbsStdLibThe standard library abs, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptMathAbs, AbsUniformCudaHipBuiltIn > + Calpaka::math::AbsUniformCudaHipBuiltInThe CUDA built in abs + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptMathAcos, AcosStdLib > + Calpaka::math::AcosStdLibThe standard library acos, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAcos, AcosUniformCudaHipBuiltIn > + Calpaka::math::AcosUniformCudaHipBuiltInThe CUDA built in acos + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAcosh, AcoshStdLib > + Calpaka::math::AcoshStdLibThe standard library acos, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAcosh, AcoshUniformCudaHipBuiltIn > + Calpaka::math::AcoshUniformCudaHipBuiltInThe CUDA built in acosh + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathArg, ArgStdLib > + Calpaka::math::ArgStdLibThe standard library arg, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathArg, ArgUniformCudaHipBuiltIn > + Calpaka::math::ArgUniformCudaHipBuiltInThe CUDA built in arg + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAsin, AsinStdLib > + Calpaka::math::AsinStdLibThe standard library asin, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAsin, AsinUniformCudaHipBuiltIn > + Calpaka::math::AsinUniformCudaHipBuiltInThe CUDA built in asin + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAsinh, AsinhStdLib > + Calpaka::math::AsinhStdLibThe standard library asinh, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAsinh, AsinhUniformCudaHipBuiltIn > + Calpaka::math::AsinhUniformCudaHipBuiltInThe CUDA built in asinh + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAtan, AtanStdLib > + Calpaka::math::AtanStdLibThe standard library atan, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAtan, AtanUniformCudaHipBuiltIn > + Calpaka::math::AtanUniformCudaHipBuiltInThe CUDA built in atan + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAtan2, Atan2StdLib > + Calpaka::math::Atan2StdLibThe standard library atan2, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAtan2, Atan2UniformCudaHipBuiltIn > + Calpaka::math::Atan2UniformCudaHipBuiltInThe CUDA built in atan2 + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAtanh, AtanhStdLib > + Calpaka::math::AtanhStdLibThe standard library atanh, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathAtanh, AtanhUniformCudaHipBuiltIn > + Calpaka::math::AtanhUniformCudaHipBuiltInThe CUDA built in atanh + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCbrt, CbrtStdLib > + Calpaka::math::CbrtStdLibThe standard library cbrt, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCbrt, CbrtUniformCudaHipBuiltIn > + Calpaka::math::CbrtUniformCudaHipBuiltInThe CUDA built in cbrt + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCeil, CeilStdLib > + Calpaka::math::CeilStdLibThe standard library ceil, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCeil, CeilUniformCudaHipBuiltIn > + Calpaka::math::CeilUniformCudaHipBuiltInThe CUDA built in ceil + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathConj, ConjStdLib > + Calpaka::math::ConjStdLibThe standard library conj, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathConj, ConjUniformCudaHipBuiltIn > + Calpaka::math::ConjUniformCudaHipBuiltInThe CUDA built in conj + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCopysign, CopysignStdLib > + Calpaka::math::CopysignStdLibThe standard library copysign, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCopysign, CopysignUniformCudaHipBuiltIn > + Calpaka::math::CopysignUniformCudaHipBuiltInThe CUDA built in copysign + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCos, CosStdLib > + Calpaka::math::CosStdLibThe standard library cos, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCos, CosUniformCudaHipBuiltIn > + Calpaka::math::CosUniformCudaHipBuiltInThe CUDA built in cos + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCosh, CoshStdLib > + Calpaka::math::CoshStdLibThe standard library cosh, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathCosh, CoshUniformCudaHipBuiltIn > + Calpaka::math::CoshUniformCudaHipBuiltInThe CUDA built in cosh + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathErf, ErfStdLib > + Calpaka::math::ErfStdLibThe standard library erf, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathErf, ErfUniformCudaHipBuiltIn > + Calpaka::math::ErfUniformCudaHipBuiltInThe CUDA built in erf + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathExp, ExpStdLib > + Calpaka::math::ExpStdLibThe standard library exp, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathExp, ExpUniformCudaHipBuiltIn > + Calpaka::math::ExpUniformCudaHipBuiltInThe CUDA built in exp + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathFloor, FloorStdLib > + Calpaka::math::FloorStdLibThe standard library floor, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathFloor, FloorUniformCudaHipBuiltIn > + Calpaka::math::FloorUniformCudaHipBuiltInThe CUDA built in floor + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathFma, FmaStdLib > + Calpaka::math::FmaStdLibThe standard library fma, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathFma, FmaUniformCudaHipBuiltIn > + Calpaka::math::FmaUniformCudaHipBuiltInThe CUDA built in fma + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathFmod, FmodStdLib > + Calpaka::math::FmodStdLibThe standard library fmod, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathFmod, FmodUniformCudaHipBuiltIn > + Calpaka::math::FmodUniformCudaHipBuiltInThe CUDA built in fmod + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathIsfinite, IsfiniteStdLib > + Calpaka::math::IsfiniteStdLibThe standard library isfinite, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathIsfinite, IsfiniteUniformCudaHipBuiltIn > + Calpaka::math::IsfiniteUniformCudaHipBuiltInThe CUDA built in isfinite + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathIsinf, IsinfStdLib > + Calpaka::math::IsinfStdLibThe standard library isinf, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathIsinf, IsinfUniformCudaHipBuiltIn > + Calpaka::math::IsinfUniformCudaHipBuiltInThe CUDA built in isinf + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathIsnan, IsnanStdLib > + Calpaka::math::IsnanStdLibThe standard library isnan, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathIsnan, IsnanUniformCudaHipBuiltIn > + Calpaka::math::IsnanUniformCudaHipBuiltInThe CUDA built in isnan + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathLog, LogStdLib > + Calpaka::math::LogStdLibThe standard library log, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathLog, LogUniformCudaHipBuiltIn > + Calpaka::math::LogUniformCudaHipBuiltIn + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathLog10, Log10StdLib > + Calpaka::math::Log10StdLibThe standard library log10, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathLog10, Log10UniformCudaHipBuiltIn > + Calpaka::math::Log10UniformCudaHipBuiltIn + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathLog2, Log2StdLib > + Calpaka::math::Log2StdLibThe standard library log2, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathLog2, Log2UniformCudaHipBuiltIn > + Calpaka::math::Log2UniformCudaHipBuiltIn + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathMax, MaxStdLib > + Calpaka::math::MaxStdLibThe standard library max + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathMax, MaxUniformCudaHipBuiltIn > + Calpaka::math::MaxUniformCudaHipBuiltInThe CUDA built in max + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathMin, MinStdLib > + Calpaka::math::MinStdLibThe standard library min + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathMin, MinUniformCudaHipBuiltIn > + Calpaka::math::MinUniformCudaHipBuiltInThe CUDA built in min + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathPow, PowStdLib > + Calpaka::math::PowStdLibThe standard library pow, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathPow, PowUniformCudaHipBuiltIn > + Calpaka::math::PowUniformCudaHipBuiltInThe CUDA built in pow + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathRemainder, RemainderStdLib > + Calpaka::math::RemainderStdLibThe standard library remainder, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathRemainder, RemainderUniformCudaHipBuiltIn > + Calpaka::math::RemainderUniformCudaHipBuiltInThe CUDA built in remainder + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathRound, RoundStdLib > + Calpaka::math::RoundStdLibThe standard library round, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathRound, RoundUniformCudaHipBuiltIn > + Calpaka::math::RoundUniformCudaHipBuiltInThe CUDA round + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathRsqrt, RsqrtStdLib > + Calpaka::math::RsqrtStdLibThe standard library rsqrt, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathRsqrt, RsqrtUniformCudaHipBuiltIn > + Calpaka::math::RsqrtUniformCudaHipBuiltInThe CUDA rsqrt + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathSin, SinStdLib > + Calpaka::math::SinStdLibThe standard library sin, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathSin, SinUniformCudaHipBuiltIn > + Calpaka::math::SinUniformCudaHipBuiltInThe CUDA sin + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathSinCos, SinCosStdLib > + Calpaka::math::SinCosStdLibThe standard library sincos, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathSinCos, SinCosUniformCudaHipBuiltIn > + Calpaka::math::SinCosUniformCudaHipBuiltInThe CUDA sincos + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathSinh, SinhStdLib > + Calpaka::math::SinhStdLibThe standard library sinh, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathSinh, SinhUniformCudaHipBuiltIn > + Calpaka::math::SinhUniformCudaHipBuiltInThe CUDA sinh + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathSqrt, SqrtStdLib > + Calpaka::math::SqrtStdLibThe standard library sqrt, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathSqrt, SqrtUniformCudaHipBuiltIn > + Calpaka::math::SqrtUniformCudaHipBuiltInThe CUDA sqrt + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathTan, TanStdLib > + Calpaka::math::TanStdLibThe standard library tan, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathTan, TanUniformCudaHipBuiltIn > + Calpaka::math::TanUniformCudaHipBuiltInThe CUDA tan + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathTanh, TanhStdLib > + Calpaka::math::TanhStdLibThe standard library tanh, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathTanh, TanhUniformCudaHipBuiltIn > + Calpaka::math::TanhUniformCudaHipBuiltInThe CUDA tanh + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathTrunc, TruncStdLib > + Calpaka::math::TruncStdLibThe standard library trunc, implementation covered by the general template + Calpaka::math::MathStdLibThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMathTrunc, TruncUniformCudaHipBuiltIn > + Calpaka::math::TruncUniformCudaHipBuiltInThe CUDA trunc + Calpaka::math::MathUniformCudaHipBuiltInThe standard library math trait specializations + Calpaka::concepts::Implements< ConceptMemAlloc, AllocCpuAligned< TAlignment > > + Calpaka::AllocCpuAligned< TAlignment >The CPU boost aligned allocator + Calpaka::concepts::Implements< ConceptMemAlloc, AllocCpuNew > + Calpaka::AllocCpuNewThe CPU new allocator + Calpaka::concepts::Implements< ConceptMemFence, MemFenceCpu > + Calpaka::MemFenceCpuThe default CPU memory fence + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptMemFence, MemFenceCpuSerial > + Calpaka::MemFenceCpuSerialThe serial CPU memory fence + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::concepts::Implements< ConceptMemFence, MemFenceOmp2Blocks > + Calpaka::MemFenceOmp2BlocksThe CPU OpenMP 2.0 block memory fence + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::concepts::Implements< ConceptMemFence, MemFenceOmp2Threads > + Calpaka::MemFenceOmp2ThreadsThe CPU OpenMP 2.0 block memory fence + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::concepts::Implements< ConceptMemFence, MemFenceUniformCudaHipBuiltIn > + Calpaka::MemFenceUniformCudaHipBuiltInThe GPU CUDA/HIP memory fence + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptPlatform, PlatformCpu > + Calpaka::PlatformCpuThe CPU device platform + Calpaka::concepts::Implements< ConceptPlatform, PlatformUniformCudaHipRt< TApi > > + Calpaka::PlatformUniformCudaHipRt< TApi >The CUDA/HIP RT platform + Calpaka::concepts::Implements< ConceptQueue, QueueGenericThreadsBlocking< TDev > > + Calpaka::QueueGenericThreadsBlocking< TDev >The CPU device queue + Calpaka::concepts::Implements< ConceptQueue, QueueGenericThreadsNonBlocking< TDev > > + Calpaka::QueueGenericThreadsNonBlocking< TDev >The CPU device queue + Calpaka::concepts::Implements< ConceptQueue, QueueUniformCudaHipRt< TApi, TBlocking > > + Calpaka::uniform_cuda_hip::detail::QueueUniformCudaHipRt< TApi, TBlocking >The CUDA/HIP RT queue + Calpaka::concepts::Implements< ConceptRand, MersenneTwister > + Calpaka::rand::MersenneTwisterThe standard library mersenne twister implementation + Calpaka::concepts::Implements< ConceptRand, Philox4x32x10< TAcc > > + Calpaka::rand::Philox4x32x10< TAcc > + Calpaka::concepts::Implements< ConceptRand, Philox4x32x10Vector< TAcc > > + Calpaka::rand::Philox4x32x10Vector< TAcc > + Calpaka::concepts::Implements< ConceptRand, PhiloxStateless4x32x10Vector< TAcc > > + Calpaka::rand::PhiloxStateless4x32x10Vector< TAcc > + Calpaka::concepts::Implements< ConceptRand, RandDefault > + Calpaka::rand::RandDefault + Calpaka::concepts::Implements< ConceptRand, RandomDevice > + Calpaka::rand::RandomDeviceThe standard library rand device implementation + Calpaka::concepts::Implements< ConceptRand, RandUniformCudaHipRand< TApi > > + Calpaka::rand::RandUniformCudaHipRand< TApi >The CUDA/HIP rand implementation + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptRand, TinyMersenneTwister > + Calpaka::rand::TinyMersenneTwister"Tiny" state mersenne twister implementation + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptRand, UniformReal< TResult > > + Calpaka::rand::UniformReal< TResult, TSfinae >TEMP: Distributions to be decided on later. The generator should be compatible with STL as of now + Calpaka::concepts::Implements< ConceptWarp, WarpSingleThread > + Calpaka::warp::WarpSingleThreadThe single-threaded warp to emulate it on CPUs + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::concepts::Implements< ConceptWarp, WarpUniformCudaHipBuiltIn > + Calpaka::warp::WarpUniformCudaHipBuiltInThe GPU CUDA/HIP warp + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::concepts::Implements< ConceptWorkDiv, WorkDivMembers< TDim, TIdx > > + Calpaka::WorkDivMembers< TDim, TIdx >A basic class holding the work division as grid block extent, block thread and thread element extent + Calpaka::AccCpuOmp2Blocks< TDim, TIdx >The CPU OpenMP 2.0 block accelerator + Calpaka::AccCpuOmp2Threads< TDim, TIdx >The CPU OpenMP 2.0 thread accelerator + Calpaka::AccCpuSerial< TDim, TIdx >The CPU serial accelerator + Calpaka::AccCpuThreads< TDim, TIdx >The CPU threads accelerator + Calpaka::TaskKernelCpuOmp2Blocks< TDim, TIdx, TKernelFnObj, TArgs >The CPU OpenMP 2.0 block accelerator execution task + Calpaka::TaskKernelCpuOmp2Threads< TDim, TIdx, TKernelFnObj, TArgs >The CPU OpenMP 2.0 thread accelerator execution task + Calpaka::TaskKernelCpuSerial< TDim, TIdx, TKernelFnObj, TArgs >The CPU serial execution task implementation + Calpaka::TaskKernelCpuThreads< TDim, TIdx, TKernelFnObj, TArgs >The CPU threads execution task + Calpaka::TaskKernelGpuUniformCudaHipRt< TApi, TAcc, TDim, TIdx, TKernelFnObj, TArgs >The GPU CUDA/HIP accelerator execution task + Calpaka::concepts::Implements< ConceptWorkDiv, WorkDivUniformCudaHipBuiltIn< TDim, TIdx > > + Calpaka::WorkDivUniformCudaHipBuiltIn< TDim, TIdx >The GPU CUDA/HIP accelerator work division + Calpaka::AccGpuUniformCudaHipRt< TApi, TDim, TIdx >The GPU CUDA accelerator + Calpaka::meta::detail::IsParameterPackSetImpl< Ts... > + Calpaka::meta::detail::IsParameterPackSetImpl< T, Ts... > + Calpaka::rand::engine::PhiloxStateSingle< Counter, Key > + Calpaka::rand::engine::PhiloxStateVector< Counter, Key > + Cstd::bool_constant + Calpaka::IsKernelArgumentTriviallyCopyable< T, typename >Check if a type used as kernel argument is trivially copyable + Calpaka::meta::detail::NonZeroImpl< std::integral_constant< T, TValue > > + Cstd::bool_constant< std::is_same_v< TApi, ApiCudaRt > &&TApi::version > BOOST_VERSION_NUMBER + Calpaka::trait::HasAsyncBufSupport< TDim, DevUniformCudaHipRt< TApi > >The CUDA/HIP stream-ordered memory allocation capability trait specialization + Cstd::conditional_t + Calpaka::meta::detail::UniqueHelper< TList< Ts... >, U, Us... > + Cstd::false_type + Calpaka::meta::Contains< List, Value > + Calpaka::meta::DependentFalseType< T >A false_type being dependent on a ignored template parameter. This allows to use static_assert in uninstantiated template specializations without triggering + Calpaka::meta::IsArrayOrVector< T > + Calpaka::meta::detail::NonZeroImpl< T > + Calpaka::trait::HasAsyncBufSupport< TDim, TDev >The stream-ordered memory allocation capability trait + Calpaka::trait::HasMappedBufSupport< TPlatform >The pinned/mapped memory allocation capability trait + CalpakaGlobal::AlpakaBuiltInAtomic< TOp, T, THierarchy, TSfinae >Provide an interface to builtin atomic functions + Cstd::integral_constant + Calpaka::core::RoundUpToPowerOfTwo< N >Rounds to the next higher power of two (if not already power of two) + Calpaka::core::align::OptimalAlignment< TsizeBytes >Calculates the optimal alignment for data of the given size + Calpaka::core::detail::RoundUpToPowerOfTwoHelper< N, TisPowerTwo >Base case for N being a power of two + Calpaka::core::detail::RoundUpToPowerOfTwoHelper< N, false >Case for N not being a power of two + Calpaka::trait::WarpSize< TKernelFnObj, TAcc, TSfinae >The trait for getting the warp size required by a kernel + Cstd::tuple_size< alpaka::Vec< TDim, TVal > > + Cstd::tuple_size< alpaka::meta::CudaVectorArrayWrapper< T, N > >Specialization of std::tuple_size for float4_array + Cstd::true_type + Calpaka::meta::IsArrayOrVector< CudaVectorArrayWrapper< T, N > >Specialization of IsArrayOrVector for CUDA vector array wrapper + Calpaka::meta::IsArrayOrVector< T[N]> + Calpaka::meta::IsArrayOrVector< std::array< T, N > > + Calpaka::meta::IsArrayOrVector< std::vector< T, A > > + Calpaka::test::trait::IsBlockingQueue< QueueCpuOmp2Collective >The blocking queue trait specialization for a OpenMP2 collective CPU queue + Calpaka::trait::HasAsyncBufSupport< TDim, DevCpu >The BufCpu stream-ordered memory allocation capability trait specialization + Calpaka::trait::HasMappedBufSupport< PlatformCpu >The pinned/mapped memory allocation capability trait specialization + Calpaka::trait::HasMappedBufSupport< PlatformUniformCudaHipRt< TApi > >The pinned/mapped memory allocation capability trait specialization + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicAdd, T, THierarchy, typename std::void_t< decltype(atomicAdd(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicAdd, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicAdd_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicAnd, T, THierarchy, typename std::void_t< decltype(atomicAnd(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicAnd, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicAnd_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicCas, T, THierarchy, typename std::void_t< decltype(atomicCAS(alpaka::core::declval< T * >(), alpaka::core::declval< T >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicCas, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicCAS_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicDec, T, THierarchy, typename std::void_t< decltype(atomicDec(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicDec, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicDec_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicExch, T, THierarchy, typename std::void_t< decltype(atomicExch(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicExch, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicExch_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicInc, T, THierarchy, typename std::void_t< decltype(atomicInc(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicInc, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicInc_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicMax, T, THierarchy, typename std::void_t< decltype(atomicMax(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicMax, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicMax_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicMin, T, THierarchy, typename std::void_t< decltype(atomicMin(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicMin, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicMin_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicOr, T, THierarchy, typename std::void_t< decltype(atomicOr(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicOr, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicOr_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicSub, T, THierarchy, typename std::void_t< decltype(atomicSub(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicSub, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicSub_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicXor, T, THierarchy, typename std::void_t< decltype(atomicXor(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + CalpakaGlobal::AlpakaBuiltInAtomic< alpaka::AtomicXor, T, alpaka::hierarchy::Threads, typename std::void_t< decltype(atomicXor_block(alpaka::core::declval< T * >(), alpaka::core::declval< T >()))> > + Cstd::tuple_element< I, alpaka::Vec< TDim, TVal > > + Calpaka::detail::TaskCopyCpuBase< DimInt< 1u >, TViewDst, TViewSrc, TExtent > + Calpaka::detail::TaskCopyCpu< DimInt< 1u >, TViewDst, TViewSrc, TExtent >The CPU device 1D memory copy task + Calpaka::detail::TaskSetCpuBase< DimInt< 1u >, TView, TExtent > + Calpaka::detail::TaskSetCpu< DimInt< 1u >, TView, TExtent >The CPU device 1D memory set task + Calpaka::detail::TaskSetUniformCudaHipBase< TApi, DimInt< 0u >, TView, TExtent > + Calpaka::detail::TaskSetUniformCudaHip< TApi, DimInt< 0u >, TView, TExtent >The scalar CUDA/HIP memory set task + Calpaka::detail::TaskSetUniformCudaHipBase< TApi, DimInt< 1u >, TView, TExtent > + Calpaka::detail::TaskSetUniformCudaHip< TApi, DimInt< 1u >, TView, TExtent >The 1D CUDA/HIP memory set task + Calpaka::detail::TaskSetUniformCudaHipBase< TApi, DimInt< 2u >, TView, TExtent > + Calpaka::detail::TaskSetUniformCudaHip< TApi, DimInt< 2u >, TView, TExtent >The 2D CUDA/HIP memory set task + Calpaka::detail::TaskSetUniformCudaHipBase< TApi, DimInt< 3u >, TView, TExtent > + Calpaka::detail::TaskSetUniformCudaHip< TApi, DimInt< 3u >, TView, TExtent >The 3D CUDA/HIP memory set task + CTBackend + Calpaka::rand::engine::PhiloxBaseCommon< TBackend, TParams, TImpl > + CTDim::value + Calpaka::trait::HasAsyncBufSupport< TDim, DevUniformCudaHipRt< TApi > >The CUDA/HIP stream-ordered memory allocation capability trait specialization + CTINYMT32_T + Calpaka::Vec< Dim, Idx > + Calpaka::Vec< TDim, DstSize > + Calpaka::Vec< TDim, ExtentSize > + Calpaka::Vec< TDim, SrcSize > + Calpaka::Vec< TDim, TIdx > + Calpaka::internal::ViewAccessOps< BufCpu< TElem, TDim, TIdx > > + Calpaka::BufCpu< TElem, TDim, TIdx >The CPU memory buffer + Calpaka::internal::ViewAccessOps< BufUniformCudaHipRt< TApi, TElem, TDim, TIdx > > + Calpaka::BufUniformCudaHipRt< TApi, TElem, TDim, TIdx >The CUDA/HIP memory buffer + Calpaka::internal::ViewAccessOps< ViewConst< TView > > + Calpaka::ViewConst< TView >A non-modifiable wrapper around a view. This view acts as the wrapped view, but the underlying data is only exposed const-qualified + Calpaka::internal::ViewAccessOps< ViewPlainPtr< TDev, TElem, TDim, TIdx > > + Calpaka::ViewPlainPtr< TDev, TElem, TDim, TIdx >The memory view to wrap plain pointers + Calpaka::internal::ViewAccessOps< ViewSubView< TDev, TElem, TDim, TIdx > > + Calpaka::ViewSubView< TDev, TElem, TDim, TIdx >A sub-view to a view + Calpaka::meta::TBases + Calpaka::meta::InheritFromList< TList< TBases... > > @@ -1577,7 +1586,7 @@ diff --git a/hierarchy.js b/hierarchy.js index 61a329d0677d..070b12b017e7 100644 --- a/hierarchy.js +++ b/hierarchy.js @@ -960,6 +960,15 @@ var hierarchy = [ "alpaka::warp::trait::Shfl< TWarp, TSfinae >", "structalpaka_1_1warp_1_1trait_1_1Shfl.html", null ], [ "alpaka::warp::trait::Shfl< WarpSingleThread >", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.html", null ], [ "alpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html", null ], + [ "alpaka::warp::trait::ShflDown< TWarp, TSfinae >", "structalpaka_1_1warp_1_1trait_1_1ShflDown.html", null ], + [ "alpaka::warp::trait::ShflDown< WarpSingleThread >", "structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4.html", null ], + [ "alpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4.html", null ], + [ "alpaka::warp::trait::ShflUp< TWarp, TSfinae >", "structalpaka_1_1warp_1_1trait_1_1ShflUp.html", null ], + [ "alpaka::warp::trait::ShflUp< WarpSingleThread >", "structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4.html", null ], + [ "alpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4.html", null ], + [ "alpaka::warp::trait::ShflXor< TWarp, TSfinae >", "structalpaka_1_1warp_1_1trait_1_1ShflXor.html", null ], + [ "alpaka::warp::trait::ShflXor< WarpSingleThread >", "structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4.html", null ], + [ "alpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpUniformCudaHipBuiltIn_01_4.html", null ], [ "alpaka::detail::BlockSharedMemStMemberImpl< core::vectorization::defaultAlignment >", "classalpaka_1_1detail_1_1BlockSharedMemStMemberImpl.html", [ [ "alpaka::BlockSharedMemStMember< TDataAlignBytes >", "classalpaka_1_1BlockSharedMemStMember.html", [ [ "alpaka::AccCpuOmp2Blocks< TDim, TIdx >", "classalpaka_1_1AccCpuOmp2Blocks.html", null ], diff --git a/idx_2Traits_8hpp.html b/idx_2Traits_8hpp.html index 75425bd6dd0b..ba8c7ab039ae 100644 --- a/idx_2Traits_8hpp.html +++ b/idx_2Traits_8hpp.html @@ -127,7 +127,7 @@ diff --git a/idx_2Traits_8hpp_source.html b/idx_2Traits_8hpp_source.html index 5846b188fe2b..f82da409d5ec 100644 --- a/idx_2Traits_8hpp_source.html +++ b/idx_2Traits_8hpp_source.html @@ -144,7 +144,7 @@ diff --git a/index.html b/index.html index 198abdddbe4e..7db1c518283a 100644 --- a/index.html +++ b/index.html @@ -297,7 +297,7 @@

                                                                                                                                                      Former Members, Contributions and Thanks

                                                                                                                                                      diff --git a/intrinsic_2Traits_8hpp.html b/intrinsic_2Traits_8hpp.html index 3f1aae570587..e3933cfb118c 100644 --- a/intrinsic_2Traits_8hpp.html +++ b/intrinsic_2Traits_8hpp.html @@ -137,7 +137,7 @@ diff --git a/intrinsic_2Traits_8hpp_source.html b/intrinsic_2Traits_8hpp_source.html index 96de4d9f44d3..363a1af95dee 100644 --- a/intrinsic_2Traits_8hpp_source.html +++ b/intrinsic_2Traits_8hpp_source.html @@ -190,7 +190,7 @@ diff --git a/kernel_2Traits_8hpp.html b/kernel_2Traits_8hpp.html index 9a1c72970bed..ea36a41f0776 100644 --- a/kernel_2Traits_8hpp.html +++ b/kernel_2Traits_8hpp.html @@ -172,7 +172,7 @@ diff --git a/kernel_2Traits_8hpp_source.html b/kernel_2Traits_8hpp_source.html index 7561c44925de..e9dbb8314158 100644 --- a/kernel_2Traits_8hpp_source.html +++ b/kernel_2Traits_8hpp_source.html @@ -442,7 +442,7 @@ diff --git a/math_2Traits_8hpp.html b/math_2Traits_8hpp.html index 4ea4d611cdcf..68e609149479 100644 --- a/math_2Traits_8hpp.html +++ b/math_2Traits_8hpp.html @@ -541,7 +541,7 @@ diff --git a/math_2Traits_8hpp_source.html b/math_2Traits_8hpp_source.html index d4b46e728e45..d5d5ef7727f2 100644 --- a/math_2Traits_8hpp_source.html +++ b/math_2Traits_8hpp_source.html @@ -1767,7 +1767,7 @@ diff --git a/mem_2alloc_2Traits_8hpp.html b/mem_2alloc_2Traits_8hpp.html index f71e00407bc6..1fadbc354da0 100644 --- a/mem_2alloc_2Traits_8hpp.html +++ b/mem_2alloc_2Traits_8hpp.html @@ -129,7 +129,7 @@ diff --git a/mem_2alloc_2Traits_8hpp_source.html b/mem_2alloc_2Traits_8hpp_source.html index 1077d1513d28..71f710a3a34b 100644 --- a/mem_2alloc_2Traits_8hpp_source.html +++ b/mem_2alloc_2Traits_8hpp_source.html @@ -152,7 +152,7 @@ diff --git a/mem_2buf_2Traits_8hpp.html b/mem_2buf_2Traits_8hpp.html index 2be3ee86d3e1..0e2a2fa0a9e5 100644 --- a/mem_2buf_2Traits_8hpp.html +++ b/mem_2buf_2Traits_8hpp.html @@ -165,7 +165,7 @@ diff --git a/mem_2buf_2Traits_8hpp_source.html b/mem_2buf_2Traits_8hpp_source.html index 310755222d3f..6e91ba380be4 100644 --- a/mem_2buf_2Traits_8hpp_source.html +++ b/mem_2buf_2Traits_8hpp_source.html @@ -311,7 +311,7 @@ diff --git a/mem_2buf_2cpu_2Set_8hpp.html b/mem_2buf_2cpu_2Set_8hpp.html index 1397d5e61103..d40d62e69296 100644 --- a/mem_2buf_2cpu_2Set_8hpp.html +++ b/mem_2buf_2cpu_2Set_8hpp.html @@ -135,7 +135,7 @@ diff --git a/mem_2buf_2cpu_2Set_8hpp_source.html b/mem_2buf_2cpu_2Set_8hpp_source.html index 104a2c17eb3f..d119476e2122 100644 --- a/mem_2buf_2cpu_2Set_8hpp_source.html +++ b/mem_2buf_2cpu_2Set_8hpp_source.html @@ -287,7 +287,7 @@
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_HOST_ACC auto ndLoopIncIdx(TExtentVec const &extent, TFnObj const &f) -> void
                                                                                                                                                      Loops over an n-dimensional iteration index variable calling f(idx, args...) for each iteration....
                                                                                                                                                      Definition: NdLoop.hpp:81
                                                                                                                                                      -
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                      Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                      Definition: Traits.hpp:102
                                                                                                                                                      +
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                      Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                      Definition: Traits.hpp:114
                                                                                                                                                      The alpaka accelerator library.
                                                                                                                                                      typename trait::IdxType< T >::type Idx
                                                                                                                                                      Definition: Traits.hpp:29
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_HOST_ACC auto getExtents(T const &object) -> Vec< Dim< T >, Idx< T >>
                                                                                                                                                      Definition: Traits.hpp:59
                                                                                                                                                      @@ -328,7 +328,7 @@ diff --git a/mem_2buf_2sycl_2Common_8hpp.html b/mem_2buf_2sycl_2Common_8hpp.html index 84ac0fdcb042..39fabd6acfa7 100644 --- a/mem_2buf_2sycl_2Common_8hpp.html +++ b/mem_2buf_2sycl_2Common_8hpp.html @@ -99,7 +99,7 @@ diff --git a/mem_2buf_2sycl_2Common_8hpp_source.html b/mem_2buf_2sycl_2Common_8hpp_source.html index 34a0f9f421e0..c224d5816cd5 100644 --- a/mem_2buf_2sycl_2Common_8hpp_source.html +++ b/mem_2buf_2sycl_2Common_8hpp_source.html @@ -160,7 +160,7 @@ diff --git a/mem_2buf_2sycl_2Set_8hpp.html b/mem_2buf_2sycl_2Set_8hpp.html index 64c8154e249f..106de6da2359 100644 --- a/mem_2buf_2sycl_2Set_8hpp.html +++ b/mem_2buf_2sycl_2Set_8hpp.html @@ -110,7 +110,7 @@ diff --git a/mem_2buf_2sycl_2Set_8hpp_source.html b/mem_2buf_2sycl_2Set_8hpp_source.html index 6f2adbcabcb1..a812bae65fcb 100644 --- a/mem_2buf_2sycl_2Set_8hpp_source.html +++ b/mem_2buf_2sycl_2Set_8hpp_source.html @@ -315,7 +315,7 @@
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_HOST_ACC auto ndLoopIncIdx(TExtentVec const &extent, TFnObj const &f) -> void
                                                                                                                                                      Loops over an n-dimensional iteration index variable calling f(idx, args...) for each iteration....
                                                                                                                                                      Definition: NdLoop.hpp:81
                                                                                                                                                      -
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                      Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                      Definition: Traits.hpp:102
                                                                                                                                                      +
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                      Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                      Definition: Traits.hpp:114
                                                                                                                                                      The alpaka accelerator library.
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_HOST_ACC auto getExtents(T const &object) -> Vec< Dim< T >, Idx< T >>
                                                                                                                                                      Definition: Traits.hpp:59
                                                                                                                                                      ALPAKA_FN_HOST auto getPitchesInBytes(TView const &view) -> Vec< Dim< TView >, Idx< TView >>
                                                                                                                                                      Definition: Traits.hpp:199
                                                                                                                                                      @@ -330,7 +330,7 @@ diff --git a/mem_2buf_2uniformCudaHip_2Set_8hpp.html b/mem_2buf_2uniformCudaHip_2Set_8hpp.html index ebda6cfc37ee..3c054c5fc96c 100644 --- a/mem_2buf_2uniformCudaHip_2Set_8hpp.html +++ b/mem_2buf_2uniformCudaHip_2Set_8hpp.html @@ -167,7 +167,7 @@ diff --git a/mem_2buf_2uniformCudaHip_2Set_8hpp_source.html b/mem_2buf_2uniformCudaHip_2Set_8hpp_source.html index 984d13fe413f..68c6fa71a32d 100644 --- a/mem_2buf_2uniformCudaHip_2Set_8hpp_source.html +++ b/mem_2buf_2uniformCudaHip_2Set_8hpp_source.html @@ -532,7 +532,7 @@ diff --git a/mem_2fence_2Traits_8hpp.html b/mem_2fence_2Traits_8hpp.html index c09afbd7e263..eff153575ff9 100644 --- a/mem_2fence_2Traits_8hpp.html +++ b/mem_2fence_2Traits_8hpp.html @@ -134,7 +134,7 @@ diff --git a/mem_2fence_2Traits_8hpp_source.html b/mem_2fence_2Traits_8hpp_source.html index dd0c0da1af77..5d8a9bcee725 100644 --- a/mem_2fence_2Traits_8hpp_source.html +++ b/mem_2fence_2Traits_8hpp_source.html @@ -171,7 +171,7 @@ diff --git a/mem_2view_2Traits_8hpp.html b/mem_2view_2Traits_8hpp.html index 0687cda13e4b..60a6ab5bd97b 100644 --- a/mem_2view_2Traits_8hpp.html +++ b/mem_2view_2Traits_8hpp.html @@ -227,7 +227,7 @@ diff --git a/mem_2view_2Traits_8hpp_source.html b/mem_2view_2Traits_8hpp_source.html index 0d2dd94c4d05..5d78589936bf 100644 --- a/mem_2view_2Traits_8hpp_source.html +++ b/mem_2view_2Traits_8hpp_source.html @@ -779,7 +779,7 @@ diff --git a/meta_2Set_8hpp.html b/meta_2Set_8hpp.html index b9804e2fd215..b67242c86368 100644 --- a/meta_2Set_8hpp.html +++ b/meta_2Set_8hpp.html @@ -134,7 +134,7 @@ diff --git a/meta_2Set_8hpp_source.html b/meta_2Set_8hpp_source.html index c204586b73de..85b6e431cef8 100644 --- a/meta_2Set_8hpp_source.html +++ b/meta_2Set_8hpp_source.html @@ -157,7 +157,7 @@ diff --git a/namespacealpaka.html b/namespacealpaka.html index bd891c799ddd..348682b49f2a 100644 --- a/namespacealpaka.html +++ b/namespacealpaka.html @@ -8350,7 +8350,7 @@

                                                                                                                                                        - +
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                                                                                                                                                        -template<typename TWarp > -ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl (TWarp const &warp, float value, std::int32_t srcLane, std::int32_t width=0) - shfl for float vals More...
                                                                                                                                                      -  -template<typename TWarp > -ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl (TWarp const &warp, std::int32_t value, std::int32_t srcLane, std::int32_t width=0) - Exchange data between threads within a warp. More...
                                                                                                                                                      -  +template<typename TWarp , typename T > +ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl (TWarp const &warp, T value, std::int32_t srcLane, std::int32_t width=0) + Exchange data between threads within a warp. More...
                                                                                                                                                      +  +template<typename TWarp , typename T > +ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl_down (TWarp const &warp, T value, std::uint32_t offset, std::int32_t width=0) + Exchange data between threads within a warp. It copies from a lane with higher ID relative to caller. The lane ID is calculated by adding delta to the caller’s lane ID. More...
                                                                                                                                                      +  +template<typename TWarp , typename T > +ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl_up (TWarp const &warp, T value, std::uint32_t offset, std::int32_t width=0) + Exchange data between threads within a warp. It copies from a lane with lower ID relative to caller. The lane ID is calculated by subtracting delta from the caller’s lane ID. More...
                                                                                                                                                      +  +template<typename TWarp , typename T > +ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl_xor (TWarp const &warp, T value, std::int32_t mask, std::int32_t width=0) + Exchange data between threads within a warp. It copies from a lane based on bitwise XOR of own lane ID. The lane ID is calculated by performing a bitwise XOR of the caller’s lane ID with mask. More...

                                                                                                                                                      Function Documentation

                                                                                                                                                      @@ -179,7 +187,7 @@

                                                                                                                                                      Returns
                                                                                                                                                      32-bit or 64-bit unsigned type depending on the accelerator.
                                                                                                                                                      -

                                                                                                                                                      Definition at line 78 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      Definition at line 90 of file Traits.hpp.

                                                                                                                                                      @@ -231,7 +239,7 @@

                                                                                                                                                      Definition at line 102 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      Definition at line 114 of file Traits.hpp.

                                                                                                                                                      @@ -283,7 +291,7 @@

                                                                                                                                                      Definition at line 125 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      Definition at line 137 of file Traits.hpp.

                                                                                                                                                      @@ -335,7 +343,7 @@

                                                                                                                                                      Returns
                                                                                                                                                      32-bit or 64-bit unsigned type depending on the accelerator.
                                                                                                                                                      -

                                                                                                                                                      Definition at line 152 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      Definition at line 164 of file Traits.hpp.

                                                                                                                                                      @@ -372,17 +380,17 @@

                                                                                                                                                      Definition at line 53 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      Definition at line 65 of file Traits.hpp.

                                                                                                                                                      - -

                                                                                                                                                      ◆ shfl() [1/2]

                                                                                                                                                      + +

                                                                                                                                                      ◆ shfl()

                                                                                                                                                      - -

                                                                                                                                                      ◆ shfl() [2/2]

                                                                                                                                                      + +

                                                                                                                                                      ◆ shfl_down()

                                                                                                                                                      -template<typename TWarp >
                                                                                                                                                      +template<typename TWarp , typename T >
                                                                                                                                                      - + + + + + + + + + + + + + + + + + + + + +
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl_down ( TWarp const &  warp,
                                                                                                                                                      value,
                                                                                                                                                      std::uint32_t offset,
                                                                                                                                                      std::int32_t width = 0 
                                                                                                                                                      )
                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      Exchange data between threads within a warp. It copies from a lane with higher ID relative to caller. The lane ID is calculated by adding delta to the caller’s lane ID.

                                                                                                                                                      +

                                                                                                                                                      Effectively executes:

                                                                                                                                                      __shared__ int32_t values[warpsize];
                                                                                                                                                      +values[threadIdx.x] = value;
                                                                                                                                                      +__syncthreads();
                                                                                                                                                      +return (threadIdx.x % width + delta < width) ? values[threadIdx.x + delta] : values[threadIdx.x];
                                                                                                                                                      +

                                                                                                                                                      However, it does not use shared memory.

                                                                                                                                                      +

                                                                                                                                                      Notes:

                                                                                                                                                        +
                                                                                                                                                      • The programmer must ensure that all threads calling this function (and the srcLane) are executing the same line of code. In particular it is not portable to write if(a) {shfl} else {shfl}.
                                                                                                                                                      • +
                                                                                                                                                      • Commonly used with width = warpsize (the default), (returns values[threadIdx.x+delta] if threadIdx.x+delta < warpsize)
                                                                                                                                                      • +
                                                                                                                                                      • Width must be a power of 2.
                                                                                                                                                      • +
                                                                                                                                                      +
                                                                                                                                                      Template Parameters
                                                                                                                                                      + + + +
                                                                                                                                                      TWarpwarp implementation type
                                                                                                                                                      Tvalue type
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      Parameters
                                                                                                                                                      + + + + + +
                                                                                                                                                      warpwarp implementation
                                                                                                                                                      valuevalue to broadcast
                                                                                                                                                      offsetcorresponds to the delta used to compute the lane ID
                                                                                                                                                      widthsize of the group participating in the shuffle operation
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      Returns
                                                                                                                                                      val from the thread index lane ID.
                                                                                                                                                      + +

                                                                                                                                                      Definition at line 274 of file Traits.hpp.

                                                                                                                                                      + +
                                                                                                                                                      + + +

                                                                                                                                                      ◆ shfl_up()

                                                                                                                                                      + +
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      +template<typename TWarp , typename T >
                                                                                                                                                      + + + + + + + + + + + + + + + + + - + + + + + + + +
                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl_up (TWarp const & warp,
                                                                                                                                                      value,
                                                                                                                                                      std::uint32_t offset,
                                                                                                                                                      std::int32_t srcLane, width = 0 
                                                                                                                                                      )
                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      Exchange data between threads within a warp. It copies from a lane with lower ID relative to caller. The lane ID is calculated by subtracting delta from the caller’s lane ID.

                                                                                                                                                      +

                                                                                                                                                      Effectively executes:

                                                                                                                                                      __shared__ int32_t values[warpsize];
                                                                                                                                                      +values[threadIdx.x] = value;
                                                                                                                                                      +__syncthreads();
                                                                                                                                                      +return (threadIdx.x % width >= delta) ? values[threadIdx.x - delta] : values[threadIdx.x];
                                                                                                                                                      +

                                                                                                                                                      However, it does not use shared memory.

                                                                                                                                                      +

                                                                                                                                                      Notes:

                                                                                                                                                        +
                                                                                                                                                      • The programmer must ensure that all threads calling this function (and the srcLane) are executing the same line of code. In particular it is not portable to write if(a) {shfl} else {shfl}.
                                                                                                                                                      • +
                                                                                                                                                      • Commonly used with width = warpsize (the default), (returns values[threadIdx.x - delta] if threadIdx.x >= delta)
                                                                                                                                                      • +
                                                                                                                                                      • Width must be a power of 2.
                                                                                                                                                      • +
                                                                                                                                                      +
                                                                                                                                                      Template Parameters
                                                                                                                                                      + + + +
                                                                                                                                                      TWarpwarp implementation type
                                                                                                                                                      Tvalue type
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      Parameters
                                                                                                                                                      + + + + + +
                                                                                                                                                      warpwarp implementation
                                                                                                                                                      valuevalue to broadcast
                                                                                                                                                      offsetcorresponds to the delta used to compute the lane ID
                                                                                                                                                      widthsize of the group participating in the shuffle operation
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      Returns
                                                                                                                                                      val from the thread index lane ID.
                                                                                                                                                      + +

                                                                                                                                                      Definition at line 236 of file Traits.hpp.

                                                                                                                                                      + +
                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      ◆ shfl_xor()

                                                                                                                                                      + +
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      +template<typename TWarp , typename T >
                                                                                                                                                      + + + + + + + + + + + + + + + + + + @@ -462,35 +642,37 @@

                                                                                                                                                      -

                                                                                                                                                      Exchange data between threads within a warp.

                                                                                                                                                      +

                                                                                                                                                      Exchange data between threads within a warp. It copies from a lane based on bitwise XOR of own lane ID. The lane ID is calculated by performing a bitwise XOR of the caller’s lane ID with mask.

                                                                                                                                                      Effectively executes:

                                                                                                                                                      __shared__ int32_t values[warpsize];
                                                                                                                                                       values[threadIdx.x] = value;
                                                                                                                                                       __syncthreads();
                                                                                                                                                      -return values[(srcLane + width*floor(threadIdx.x/width))%width];
                                                                                                                                                      +int lane = threadIdx.x ^ mask;
                                                                                                                                                      +return values[lane / width > threadIdx.x / width ? threadIdx.x : lane];
                                                                                                                                                       

                                                                                                                                                      However, it does not use shared memory.

                                                                                                                                                      Notes:

                                                                                                                                                      • The programmer must ensure that all threads calling this function (and the srcLane) are executing the same line of code. In particular it is not portable to write if(a) {shfl} else {shfl}.
                                                                                                                                                      • -
                                                                                                                                                      • Commonly used with width = warpsize (the default), (returns values[srcLane])
                                                                                                                                                      • +
                                                                                                                                                      • Commonly used with width = warpsize (the default), (returns values[threadIdx.x^mask])
                                                                                                                                                      • Width must be a power of 2.
                                                                                                                                                      Template Parameters

                                                                                                                                                      ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl_xor (TWarp const & warp,
                                                                                                                                                      value,
                                                                                                                                                      std::int32_t mask,
                                                                                                                                                      +
                                                                                                                                                      TWarpwarp implementation type
                                                                                                                                                      Tvalue type
                                                                                                                                                      Parameters
                                                                                                                                                      - - - + + +
                                                                                                                                                      warpwarp implementation
                                                                                                                                                      valuevalue to broadcast (only meaningful from threadIdx == srcLane)
                                                                                                                                                      srcLanesource lane sending value
                                                                                                                                                      widthnumber of threads receiving a single value
                                                                                                                                                      valuevalue to broadcast
                                                                                                                                                      maskcorresponds to the mask used to compute the lane ID
                                                                                                                                                      widthsize of the group participating in the shuffle operation
                                                                                                                                                      -
                                                                                                                                                      Returns
                                                                                                                                                      val from the thread index srcLane.
                                                                                                                                                      +
                                                                                                                                                      Returns
                                                                                                                                                      val from the thread index lane ID.
                                                                                                                                                      -

                                                                                                                                                      Definition at line 186 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      Definition at line 312 of file Traits.hpp.

                                                                                                                                                      @@ -500,7 +682,7 @@

                                                                                                                                                        - +
                                                                                                                                                      diff --git a/namespacealpaka_1_1warp.js b/namespacealpaka_1_1warp.js index e97656d595a7..f6d6500a8185 100644 --- a/namespacealpaka_1_1warp.js +++ b/namespacealpaka_1_1warp.js @@ -9,6 +9,8 @@ var namespacealpaka_1_1warp = [ "any", "namespacealpaka_1_1warp.html#a5388b6f43f46df541ea8a2eb72ccee70", null ], [ "ballot", "namespacealpaka_1_1warp.html#a0d88e1c2faaf38a4e14ea0d763402d32", null ], [ "getSize", "namespacealpaka_1_1warp.html#aa9fddbe593ae1d26989838411072a2ad", null ], - [ "shfl", "namespacealpaka_1_1warp.html#adce3dddd0f7a2845ad1083972499ff07", null ], - [ "shfl", "namespacealpaka_1_1warp.html#a8954fa269b9d459ea0f404e2e0cc41e9", null ] + [ "shfl", "namespacealpaka_1_1warp.html#aec22b5aa12447c50d86ddeeb390d953e", null ], + [ "shfl_down", "namespacealpaka_1_1warp.html#a8a2ee014c34e033cda544fc9ae641475", null ], + [ "shfl_up", "namespacealpaka_1_1warp.html#a19ebfd2d4611e1339e5660018a6dae46", null ], + [ "shfl_xor", "namespacealpaka_1_1warp.html#abd6ed10d3003f831e9f4df741d6704e2", null ] ]; \ No newline at end of file diff --git a/namespacealpaka_1_1warp_1_1trait.html b/namespacealpaka_1_1warp_1_1trait.html index bdada7b5e4e4..60b968cb18e2 100644 --- a/namespacealpaka_1_1warp_1_1trait.html +++ b/namespacealpaka_1_1warp_1_1trait.html @@ -137,6 +137,27 @@   struct  Shfl< WarpUniformCudaHipBuiltIn >   +struct  ShflDown + The shfl down warp swizzling trait. More...
                                                                                                                                                      +  +struct  ShflDown< WarpSingleThread > +  +struct  ShflDown< WarpUniformCudaHipBuiltIn > +  +struct  ShflUp + The shfl up warp swizzling trait. More...
                                                                                                                                                      +  +struct  ShflUp< WarpSingleThread > +  +struct  ShflUp< WarpUniformCudaHipBuiltIn > +  +struct  ShflXor + The shfl xor warp swizzling trait. More...
                                                                                                                                                      +  +struct  ShflXor< WarpSingleThread > +  +struct  ShflXor< WarpUniformCudaHipBuiltIn >

                                                                                                                                                      Detailed Description

                                                                                                                                                      The warp traits.

                                                                                                                                                      @@ -146,7 +167,7 @@ diff --git a/namespacealpaka_1_1warp_1_1trait.js b/namespacealpaka_1_1warp_1_1trait.js index 9a882bade52e..789c441f0202 100644 --- a/namespacealpaka_1_1warp_1_1trait.js +++ b/namespacealpaka_1_1warp_1_1trait.js @@ -17,5 +17,14 @@ var namespacealpaka_1_1warp_1_1trait = [ "GetSize< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4.html", "structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4" ], [ "Shfl", "structalpaka_1_1warp_1_1trait_1_1Shfl.html", null ], [ "Shfl< WarpSingleThread >", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.html", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4" ], - [ "Shfl< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4" ] + [ "Shfl< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4" ], + [ "ShflDown", "structalpaka_1_1warp_1_1trait_1_1ShflDown.html", null ], + [ "ShflDown< WarpSingleThread >", "structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4.html", "structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4" ], + [ "ShflDown< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4.html", "structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4" ], + [ "ShflUp", "structalpaka_1_1warp_1_1trait_1_1ShflUp.html", null ], + [ "ShflUp< WarpSingleThread >", "structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4.html", "structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4" ], + [ "ShflUp< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4.html", "structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4" ], + [ "ShflXor", "structalpaka_1_1warp_1_1trait_1_1ShflXor.html", null ], + [ "ShflXor< WarpSingleThread >", "structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4.html", "structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4" ], + [ "ShflXor< WarpUniformCudaHipBuiltIn >", "structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpUniformCudaHipBuiltIn_01_4.html", "structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpUniformCudaHipBuiltIn_01_4" ] ]; \ No newline at end of file diff --git a/namespacemembers.html b/namespacemembers.html index 68e3e8f619a5..f64e3bf56a04 100644 --- a/namespacemembers.html +++ b/namespacemembers.html @@ -265,7 +265,7 @@

                                                                                                                                                      - a -

                                                                                                                                                        diff --git a/namespacemembers_b.html b/namespacemembers_b.html index 3a695270407a..cf4519f81a49 100644 --- a/namespacemembers_b.html +++ b/namespacemembers_b.html @@ -107,7 +107,7 @@

                                                                                                                                                        - b -

                                                                                                                                                          diff --git a/namespacemembers_c.html b/namespacemembers_c.html index 24c4394ee37e..09c119b90443 100644 --- a/namespacemembers_c.html +++ b/namespacemembers_c.html @@ -194,7 +194,7 @@

                                                                                                                                                          - c -

                                                                                                                                                            diff --git a/namespacemembers_d.html b/namespacemembers_d.html index 09ef12890c59..c6bfc7d4cbb4 100644 --- a/namespacemembers_d.html +++ b/namespacemembers_d.html @@ -122,7 +122,7 @@

                                                                                                                                                            - d -

                                                                                                                                                              diff --git a/namespacemembers_e.html b/namespacemembers_e.html index 78be7ef49bf2..44b1f01dae9d 100644 --- a/namespacemembers_e.html +++ b/namespacemembers_e.html @@ -153,7 +153,7 @@

                                                                                                                                                              - e -

                                                                                                                                                                diff --git a/namespacemembers_enum.html b/namespacemembers_enum.html index 45585c72344d..4aa1875f1b71 100644 --- a/namespacemembers_enum.html +++ b/namespacemembers_enum.html @@ -93,7 +93,7 @@ diff --git a/namespacemembers_f.html b/namespacemembers_f.html index cc8246e8dff3..c12ff4d46809 100644 --- a/namespacemembers_f.html +++ b/namespacemembers_f.html @@ -128,7 +128,7 @@

                                                                                                                                                                - f -

                                                                                                                                                                  diff --git a/namespacemembers_func.html b/namespacemembers_func.html index 8d4f28abb98b..a12fdd514cd3 100644 --- a/namespacemembers_func.html +++ b/namespacemembers_func.html @@ -205,7 +205,7 @@

                                                                                                                                                                  - a -

                                                                                                                                                                    diff --git a/namespacemembers_func_b.html b/namespacemembers_func_b.html index 6331708343a7..06225dc055a6 100644 --- a/namespacemembers_func_b.html +++ b/namespacemembers_func_b.html @@ -98,7 +98,7 @@

                                                                                                                                                                    - b -

                                                                                                                                                                      diff --git a/namespacemembers_func_c.html b/namespacemembers_func_c.html index bffc8990e568..e7ae3922f923 100644 --- a/namespacemembers_func_c.html +++ b/namespacemembers_func_c.html @@ -170,7 +170,7 @@

                                                                                                                                                                      - c -

                                                                                                                                                                        diff --git a/namespacemembers_func_d.html b/namespacemembers_func_d.html index e219d3fcf4d9..cb719a68a507 100644 --- a/namespacemembers_func_d.html +++ b/namespacemembers_func_d.html @@ -98,7 +98,7 @@

                                                                                                                                                                        - d -

                                                                                                                                                                          diff --git a/namespacemembers_func_e.html b/namespacemembers_func_e.html index 51f2c2dbd31c..8b7de4c636cf 100644 --- a/namespacemembers_func_e.html +++ b/namespacemembers_func_e.html @@ -117,7 +117,7 @@

                                                                                                                                                                          - e -

                                                                                                                                                                            diff --git a/namespacemembers_func_f.html b/namespacemembers_func_f.html index b92f3dac343e..78bd6f8337f5 100644 --- a/namespacemembers_func_f.html +++ b/namespacemembers_func_f.html @@ -122,7 +122,7 @@

                                                                                                                                                                            - f -

                                                                                                                                                                              diff --git a/namespacemembers_func_g.html b/namespacemembers_func_g.html index c4022d481abb..f8165d36d53a 100644 --- a/namespacemembers_func_g.html +++ b/namespacemembers_func_g.html @@ -230,7 +230,7 @@

                                                                                                                                                                              - g -

                                                                                                                                                                                diff --git a/namespacemembers_func_h.html b/namespacemembers_func_h.html index 8bd4ebfc6cbf..00f2d793956d 100644 --- a/namespacemembers_func_h.html +++ b/namespacemembers_func_h.html @@ -95,7 +95,7 @@

                                                                                                                                                                                - h -

                                                                                                                                                                                  diff --git a/namespacemembers_func_i.html b/namespacemembers_func_i.html index 090d9a97bbc4..0351cc99d885 100644 --- a/namespacemembers_func_i.html +++ b/namespacemembers_func_i.html @@ -122,7 +122,7 @@

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                                                                                                                                                                                    diff --git a/namespacemembers_func_l.html b/namespacemembers_func_l.html index 3326b655ea19..471f9306e105 100644 --- a/namespacemembers_func_l.html +++ b/namespacemembers_func_l.html @@ -112,7 +112,7 @@

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                                                                                                                                                                                      diff --git a/namespacemembers_func_m.html b/namespacemembers_func_m.html index 3c855ae90e4e..47413c4cb45e 100644 --- a/namespacemembers_func_m.html +++ b/namespacemembers_func_m.html @@ -125,7 +125,7 @@

                                                                                                                                                                                      - m -

                                                                                                                                                                                        diff --git a/namespacemembers_func_n.html b/namespacemembers_func_n.html index 419b080d2926..922ec68cbc7b 100644 --- a/namespacemembers_func_n.html +++ b/namespacemembers_func_n.html @@ -110,7 +110,7 @@

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                                                                                                                                                                                          diff --git a/namespacemembers_func_o.html b/namespacemembers_func_o.html index 0d6d5880991f..a7e45a4c0ede 100644 --- a/namespacemembers_func_o.html +++ b/namespacemembers_func_o.html @@ -116,7 +116,7 @@

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                                                                                                                                                                                            diff --git a/namespacemembers_func_p.html b/namespacemembers_func_p.html index ade24c343fcf..41f1fde662ae 100644 --- a/namespacemembers_func_p.html +++ b/namespacemembers_func_p.html @@ -114,7 +114,7 @@

                                                                                                                                                                                            - p -

                                                                                                                                                                                              diff --git a/namespacemembers_func_r.html b/namespacemembers_func_r.html index 899ffbe8854d..1c3adf5b8d99 100644 --- a/namespacemembers_func_r.html +++ b/namespacemembers_func_r.html @@ -117,7 +117,7 @@

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                                                                                                                                                                                                diff --git a/namespacemembers_func_s.html b/namespacemembers_func_s.html index a140043abf7d..ee6aa25c7a8c 100644 --- a/namespacemembers_func_s.html +++ b/namespacemembers_func_s.html @@ -90,7 +90,16 @@

                                                                                                                                                                                                - s -

                                                                                                                                                                                                  : alpaka::omp
                                                                                                                                                                                                • shfl() -: alpaka::warp +: alpaka::warp +
                                                                                                                                                                                                • +
                                                                                                                                                                                                • shfl_down() +: alpaka::warp +
                                                                                                                                                                                                • +
                                                                                                                                                                                                • shfl_up() +: alpaka::warp +
                                                                                                                                                                                                • +
                                                                                                                                                                                                • shfl_xor() +: alpaka::warp
                                                                                                                                                                                                • sin() : alpaka::math @@ -135,7 +144,7 @@

                                                                                                                                                                                                  - s -

                                                                                                                                                                                                    diff --git a/namespacemembers_func_t.html b/namespacemembers_func_t.html index 05db6d8bce66..05aa75fde497 100644 --- a/namespacemembers_func_t.html +++ b/namespacemembers_func_t.html @@ -115,7 +115,7 @@

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                                                                                                                                                                                                      diff --git a/namespacemembers_func_v.html b/namespacemembers_func_v.html index deadb2000f40..a886116a6693 100644 --- a/namespacemembers_func_v.html +++ b/namespacemembers_func_v.html @@ -104,7 +104,7 @@

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                                                                                                                                                                                                        diff --git a/namespacemembers_func_w.html b/namespacemembers_func_w.html index a319e563915c..8c2a4939f08a 100644 --- a/namespacemembers_func_w.html +++ b/namespacemembers_func_w.html @@ -98,7 +98,7 @@

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                                                                                                                                                                                                          diff --git a/namespacemembers_g.html b/namespacemembers_g.html index fc0bc4d1ad6e..58252e388893 100644 --- a/namespacemembers_g.html +++ b/namespacemembers_g.html @@ -233,7 +233,7 @@

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                                                                                                                                                                                                            diff --git a/namespacemembers_h.html b/namespacemembers_h.html index 2a28e8532f49..7680e067608b 100644 --- a/namespacemembers_h.html +++ b/namespacemembers_h.html @@ -110,7 +110,7 @@

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                                                                                                                                                                                                                  diff --git a/namespacemembers_m.html b/namespacemembers_m.html index b21e5840c7d0..8daaec9d66da 100644 --- a/namespacemembers_m.html +++ b/namespacemembers_m.html @@ -131,7 +131,7 @@

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                                                                                                                                                                                                                                : alpaka::omp
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                                                                                                                                                                                                                              • shfl_down() +: alpaka::warp +
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                                                                                                                                                                                                                              • shfl_up() +: alpaka::warp +
                                                                                                                                                                                                                              • +
                                                                                                                                                                                                                              • shfl_xor() +: alpaka::warp
                                                                                                                                                                                                                              • sin() : alpaka::math @@ -141,7 +150,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1cpu_1_1UniformUint-members.html b/structalpaka_1_1rand_1_1distribution_1_1cpu_1_1UniformUint-members.html index 78fd7c405d33..fba8858cdb71 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1cpu_1_1UniformUint-members.html +++ b/structalpaka_1_1rand_1_1distribution_1_1cpu_1_1UniformUint-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1cpu_1_1UniformUint.html b/structalpaka_1_1rand_1_1distribution_1_1cpu_1_1UniformUint.html index f83850b8e27e..6c722bbc06a9 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1cpu_1_1UniformUint.html +++ b/structalpaka_1_1rand_1_1distribution_1_1cpu_1_1UniformUint.html @@ -152,7 +152,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType.html b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType.html index afba16e5522d..6805f9919732 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType.html +++ b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType.html @@ -102,7 +102,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01double_01_4-members.html b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01double_01_4-members.html index 389c10b7bcaf..3afff6319b29 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01double_01_4-members.html +++ b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01double_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01double_01_4.html b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01double_01_4.html index 24bb7ab6987b..f621ee0dfc5d 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01double_01_4.html +++ b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01double_01_4.html @@ -127,7 +127,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01float_01_4-members.html b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01float_01_4-members.html index fb82a29482b6..876081315912 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01float_01_4-members.html +++ b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01float_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01float_01_4.html b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01float_01_4.html index 01abaf365038..cc39a5e514a6 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01float_01_4.html +++ b/structalpaka_1_1rand_1_1distribution_1_1gpu_1_1detail_1_1BitsType_3_01float_01_4.html @@ -127,7 +127,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal.html index 0d759db75b01..5a57a01bd420 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal.html @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandDefault_00_01T_00_01st26b7d150a56a9858e91f2a20aa799518.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandDefault_00_01T_00_01st26b7d150a56a9858e91f2a20aa799518.html index 690c844018a6..c65f284b43e0 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandDefault_00_01T_00_01st26b7d150a56a9858e91f2a20aa799518.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandDefault_00_01T_00_01st26b7d150a56a9858e91f2a20aa799518.html @@ -152,7 +152,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandDefault_00_01T_00_01st352b26b10b25c85ebbb4a5125c71fa98.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandDefault_00_01T_00_01st352b26b10b25c85ebbb4a5125c71fa98.html index 4d18c20ecc57..c460db36bf44 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandDefault_00_01T_00_01st352b26b10b25c85ebbb4a5125c71fa98.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandDefault_00_01T_00_01st352b26b10b25c85ebbb4a5125c71fa98.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandStdLib_00_01T_00_01std3d4f3f3c02243336f98e102d5964e970.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandStdLib_00_01T_00_01std3d4f3f3c02243336f98e102d5964e970.html index 760130489852..7a25e0d71aae 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandStdLib_00_01T_00_01std3d4f3f3c02243336f98e102d5964e970.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandStdLib_00_01T_00_01std3d4f3f3c02243336f98e102d5964e970.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandStdLib_00_01T_00_01stde941c312bc1108adc15e02a337e6c863.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandStdLib_00_01T_00_01stde941c312bc1108adc15e02a337e6c863.html index 72169133ac06..81d724a763ef 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandStdLib_00_01T_00_01stde941c312bc1108adc15e02a337e6c863.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandStdLib_00_01T_00_01stde941c312bc1108adc15e02a337e6c863.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandUniformCudaHipRand_3_07f1de1183eeed05f6d91c46d68716967.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandUniformCudaHipRand_3_07f1de1183eeed05f6d91c46d68716967.html index 9054255b283e..674be43cc8b3 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandUniformCudaHipRand_3_07f1de1183eeed05f6d91c46d68716967.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandUniformCudaHipRand_3_07f1de1183eeed05f6d91c46d68716967.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandUniformCudaHipRand_3_0df518e9b654bd428d7301d740b48ae2e.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandUniformCudaHipRand_3_0df518e9b654bd428d7301d740b48ae2e.html index 9dd676b9cbca..5bc9d1c105ae 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandUniformCudaHipRand_3_0df518e9b654bd428d7301d740b48ae2e.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateNormalReal_3_01RandUniformCudaHipRand_3_0df518e9b654bd428d7301d740b48ae2e.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal.html index 9166b45ea408..502525d7701b 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal.html @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandDefault_00_01T_00_01s5e223a229ae2d1d00592ff09415cffea.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandDefault_00_01T_00_01s5e223a229ae2d1d00592ff09415cffea.html index f66a29b1f53a..7682c2ec6155 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandDefault_00_01T_00_01s5e223a229ae2d1d00592ff09415cffea.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandDefault_00_01T_00_01s5e223a229ae2d1d00592ff09415cffea.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandDefault_00_01T_00_01sd49c07eabff4a9e1ee55cea0e0e5c2ba.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandDefault_00_01T_00_01sd49c07eabff4a9e1ee55cea0e0e5c2ba.html index 0d3c7c6038fc..e51fc7f424ca 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandDefault_00_01T_00_01sd49c07eabff4a9e1ee55cea0e0e5c2ba.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandDefault_00_01T_00_01sd49c07eabff4a9e1ee55cea0e0e5c2ba.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandStdLib_00_01T_00_01st742f3666f79de6bfa47f0633eb2fa836.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandStdLib_00_01T_00_01st742f3666f79de6bfa47f0633eb2fa836.html index 3cd5ca8c003f..3e36a1ad7af9 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandStdLib_00_01T_00_01st742f3666f79de6bfa47f0633eb2fa836.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandStdLib_00_01T_00_01st742f3666f79de6bfa47f0633eb2fa836.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandStdLib_00_01T_00_01sta7c4cdacfbdc4f4842fa73d2df3fa79d.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandStdLib_00_01T_00_01sta7c4cdacfbdc4f4842fa73d2df3fa79d.html index 1bf4a5455965..e1b00fdc7829 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandStdLib_00_01T_00_01sta7c4cdacfbdc4f4842fa73d2df3fa79d.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandStdLib_00_01T_00_01sta7c4cdacfbdc4f4842fa73d2df3fa79d.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandUniformCudaHipRand_3_773a63a4f5d49eb99920be177387bc7d.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandUniformCudaHipRand_3_773a63a4f5d49eb99920be177387bc7d.html index 9439f2dca332..ac71afb56e21 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandUniformCudaHipRand_3_773a63a4f5d49eb99920be177387bc7d.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandUniformCudaHipRand_3_773a63a4f5d49eb99920be177387bc7d.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandUniformCudaHipRand_3_f4dbf0ddec35aaca305e78e3f557052b.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandUniformCudaHipRand_3_f4dbf0ddec35aaca305e78e3f557052b.html index eb5962ac29d3..1230d08a128b 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandUniformCudaHipRand_3_f4dbf0ddec35aaca305e78e3f557052b.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformReal_3_01RandUniformCudaHipRand_3_f4dbf0ddec35aaca305e78e3f557052b.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint.html index 279f557e05d0..95bdf9e227a8 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint.html @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandDefault_00_01T_00_01s389272920ec51cacf0dbc5ab18ced9b2.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandDefault_00_01T_00_01s389272920ec51cacf0dbc5ab18ced9b2.html index 13f477e8c3ac..981b9efc631b 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandDefault_00_01T_00_01s389272920ec51cacf0dbc5ab18ced9b2.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandDefault_00_01T_00_01s389272920ec51cacf0dbc5ab18ced9b2.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandDefault_00_01T_00_01sf6e9f3b7841c4e66ed0da783cd623772.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandDefault_00_01T_00_01sf6e9f3b7841c4e66ed0da783cd623772.html index 96795a36bd30..eb72822e26e0 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandDefault_00_01T_00_01sf6e9f3b7841c4e66ed0da783cd623772.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandDefault_00_01T_00_01sf6e9f3b7841c4e66ed0da783cd623772.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandStdLib_00_01T_00_01st9ef4a7ab584f06d5cce3bb454a8c46a5.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandStdLib_00_01T_00_01st9ef4a7ab584f06d5cce3bb454a8c46a5.html index 6355ca3a9b64..d7ffd19947a6 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandStdLib_00_01T_00_01st9ef4a7ab584f06d5cce3bb454a8c46a5.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandStdLib_00_01T_00_01st9ef4a7ab584f06d5cce3bb454a8c46a5.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandStdLib_00_01T_00_01ste426525b2f7914c6f8f0cb4a14a7bb21.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandStdLib_00_01T_00_01ste426525b2f7914c6f8f0cb4a14a7bb21.html index fb80063e8247..25a8429d6f9f 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandStdLib_00_01T_00_01ste426525b2f7914c6f8f0cb4a14a7bb21.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandStdLib_00_01T_00_01ste426525b2f7914c6f8f0cb4a14a7bb21.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandUniformCudaHipRand_3_f7209d7733ec9fb53e06a6103a5d8b30.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandUniformCudaHipRand_3_f7209d7733ec9fb53e06a6103a5d8b30.html index 128fc996a2cd..8ee3644cf49c 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandUniformCudaHipRand_3_f7209d7733ec9fb53e06a6103a5d8b30.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandUniformCudaHipRand_3_f7209d7733ec9fb53e06a6103a5d8b30.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandUniformCudaHipRand_3_f814f8b3f5bd6884791c97415377129c.html b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandUniformCudaHipRand_3_f814f8b3f5bd6884791c97415377129c.html index 039f5108a584..7f995166ce91 100644 --- a/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandUniformCudaHipRand_3_f814f8b3f5bd6884791c97415377129c.html +++ b/structalpaka_1_1rand_1_1distribution_1_1trait_1_1CreateUniformUint_3_01RandUniformCudaHipRand_3_f814f8b3f5bd6884791c97415377129c.html @@ -149,7 +149,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Blocks_3_01TDim_00_01TIdx_00_01TKernelFnOb604baa42116969efcaf1be93079875a0.html b/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Blocks_3_01TDim_00_01TIdx_00_01TKernelFnOb604baa42116969efcaf1be93079875a0.html index 16dc76d382db..917191b38e68 100644 --- a/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Blocks_3_01TDim_00_01TIdx_00_01TKernelFnOb604baa42116969efcaf1be93079875a0.html +++ b/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Blocks_3_01TDim_00_01TIdx_00_01TKernelFnOb604baa42116969efcaf1be93079875a0.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Blocks_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html b/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Blocks_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html index 9877d18cb6b4..eb2ccca3bd15 100644 --- a/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Blocks_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Blocks_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnO81bc70d18e9c2ad9dd5164a670435e58.html b/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnO81bc70d18e9c2ad9dd5164a670435e58.html index 576eec94bfd8..e54d59a56a35 100644 --- a/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnO81bc70d18e9c2ad9dd5164a670435e58.html +++ b/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnO81bc70d18e9c2ad9dd5164a670435e58.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html b/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html index b0552ebe1d14..ce8cfd47754d 100644 --- a/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1AccType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html @@ -136,7 +136,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1AsyncBufAlloc_3_01TElem_00_01TDim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html b/structalpaka_1_1trait_1_1AsyncBufAlloc_3_01TElem_00_01TDim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html index 8ddc9ef2debd..d9c522d0acf4 100644 --- a/structalpaka_1_1trait_1_1AsyncBufAlloc_3_01TElem_00_01TDim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1AsyncBufAlloc_3_01TElem_00_01TDim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1AsyncBufAlloc_3_01TElem_00_01TDim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html b/structalpaka_1_1trait_1_1AsyncBufAlloc_3_01TElem_00_01TDim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html index 189db30fcbe3..c92972fba9e5 100644 --- a/structalpaka_1_1trait_1_1AsyncBufAlloc_3_01TElem_00_01TDim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1AsyncBufAlloc_3_01TElem_00_01TDim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html @@ -162,7 +162,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicAnd_00_01AtomicOmpBuiltIn_00_01T_00_01THierarchy_01_4-members.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicAnd_00_01AtomicOmpBuiltIn_00_01T_00_01THierarchy_01_4-members.html index 533159078226..475c805e8a51 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicAnd_00_01AtomicOmpBuiltIn_00_01T_00_01THierarchy_01_4-members.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicAnd_00_01AtomicOmpBuiltIn_00_01T_00_01THierarchy_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicAnd_00_01AtomicOmpBuiltIn_00_01T_00_01THierarchy_01_4.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicAnd_00_01AtomicOmpBuiltIn_00_01T_00_01THierarchy_01_4.html index 963bb26090ca..3573222a6e1c 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicAnd_00_01AtomicOmpBuiltIn_00_01T_00_01THierarchy_01_4.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicAnd_00_01AtomicOmpBuiltIn_00_01T_00_01THierarchy_01_4.html @@ -165,7 +165,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicDec_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicDec_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html index 1a0ac4dea714..1c1968ee1e57 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicDec_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicDec_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicDec_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicDec_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html index 35a16a014d2f..4c9259a242b4 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicDec_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicDec_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html @@ -165,7 +165,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicInc_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicInc_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html index 4a2d9ef4056b..d149e4d5b995 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicInc_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicInc_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicInc_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicInc_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html index 848acd14f72f..4d88aeff1bfc 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicInc_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicInc_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html @@ -165,7 +165,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicSub_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicSub_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html index 6b138f82d29a..c2d7c01c78d9 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicSub_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicSub_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicSub_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicSub_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html index c1e3cd4f9523..74727081fe42 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicSub_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicSub_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html @@ -165,7 +165,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicXor_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicXor_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html index 4be1c75dc654..b3a82162f1ca 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicXor_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicXor_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicXor_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicXor_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html index a80c26bc8707..d029c276ffff 100644 --- a/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicXor_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html +++ b/structalpaka_1_1trait_1_1AtomicOp_3_01AtomicXor_00_01AtomicAtomicRef_00_01T_00_01THierarchy_01_4.html @@ -165,7 +165,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1BufAllocMapped_3_01PlatformUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4-members.html b/structalpaka_1_1trait_1_1BufAllocMapped_3_01PlatformUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4-members.html index 52cd23bf6c54..f2c7ffb90a77 100644 --- a/structalpaka_1_1trait_1_1BufAllocMapped_3_01PlatformUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4-members.html +++ b/structalpaka_1_1trait_1_1BufAllocMapped_3_01PlatformUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1BufAllocMapped_3_01PlatformUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4.html b/structalpaka_1_1trait_1_1BufAllocMapped_3_01PlatformUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4.html index c6461f17a8dd..8b36e10de65a 100644 --- a/structalpaka_1_1trait_1_1BufAllocMapped_3_01PlatformUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4.html +++ b/structalpaka_1_1trait_1_1BufAllocMapped_3_01PlatformUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4.html @@ -168,7 +168,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1BufAlloc_3_01TElem_00_01Dim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html b/structalpaka_1_1trait_1_1BufAlloc_3_01TElem_00_01Dim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html index c99df955d1df..47fe7b1a9745 100644 --- a/structalpaka_1_1trait_1_1BufAlloc_3_01TElem_00_01Dim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1BufAlloc_3_01TElem_00_01Dim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1BufAlloc_3_01TElem_00_01Dim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html b/structalpaka_1_1trait_1_1BufAlloc_3_01TElem_00_01Dim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html index 936da0f8c865..a77add915df8 100644 --- a/structalpaka_1_1trait_1_1BufAlloc_3_01TElem_00_01Dim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1BufAlloc_3_01TElem_00_01Dim_00_01TIdx_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html @@ -162,7 +162,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1BufType_3_01DevUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4-members.html b/structalpaka_1_1trait_1_1BufType_3_01DevUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4-members.html index ce67efc191d6..c22f0475f5a0 100644 --- a/structalpaka_1_1trait_1_1BufType_3_01DevUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4-members.html +++ b/structalpaka_1_1trait_1_1BufType_3_01DevUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1BufType_3_01DevUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4.html b/structalpaka_1_1trait_1_1BufType_3_01DevUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4.html index 828a1cc0dae8..c3aa9f2bf43e 100644 --- a/structalpaka_1_1trait_1_1BufType_3_01DevUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4.html +++ b/structalpaka_1_1trait_1_1BufType_3_01DevUniformCudaHipRt_3_01TApi_01_4_00_01TElem_00_01TDim_00_01TIdx_01_4.html @@ -136,7 +136,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index a8369c23226b..c2bd24c4b303 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 6ce95f2cb0c3..045166eed8a5 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html index 0459a32d452e..a1eb7ccd54f0 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html index f2691bd5b9ba..45fcc046cc09 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html index bcb795ae03c6..d6c26377221e 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4.html index 656c26d009e1..08ef1d89d96e 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4-members.html index 3caefc9a53ea..3228ce8f9ef1 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4.html index cb79ee0ac2cf..0ffb57f6c766 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4-members.html index ed2c34d4232e..815332cefbc0 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4.html index 03535b8b5564..b59792dca012 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html index 66ec3e7e93e5..33308a10b852 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html index 4c7ebba7a3f1..e6e31a57390b 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4-members.html index b480204e3809..5f8f8d4d318c 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4.html index 634f29e9ea7b..657f25a4bc2a 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html index 555bd01c72ff..814e3506bf92 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4.html index 35a247f501b6..5d7e65bb3982 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4-members.html index 01a64297a9ae..ef05fe484eac 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4.html index 6d637235b0ec..49a580662ec0 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html index 1095e26b0723..3780d535878b 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html index 8cc61b13a06b..72c14c6fd140 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1DimType_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html b/structalpaka_1_1trait_1_1DimType_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html index 13ded99d219b..fb45408b0833 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1DimType_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1DimType_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html b/structalpaka_1_1trait_1_1DimType_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html index 75d26cf927e1..3d694081db33 100644 --- a/structalpaka_1_1trait_1_1DimType_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1DimType_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html @@ -136,7 +136,7 @@

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                                                                                                                                                        - +
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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetAccName_3_01AccGpuUniformCudaHipRt_3_01TApi_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetAccName_3_01AccGpuUniformCudaHipRt_3_01TApi_00_01TDim_00_01TIdx_01_4_01_4-members.html index 83bcf37e2687..d4018f62c933 100644 --- a/structalpaka_1_1trait_1_1GetAccName_3_01AccGpuUniformCudaHipRt_3_01TApi_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetAccName_3_01AccGpuUniformCudaHipRt_3_01TApi_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetAccName_3_01AccGpuUniformCudaHipRt_3_01TApi_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetAccName_3_01AccGpuUniformCudaHipRt_3_01TApi_00_01TDim_00_01TIdx_01_4_01_4.html index 4f3fee4563b9..098808500583 100644 --- a/structalpaka_1_1trait_1_1GetAccName_3_01AccGpuUniformCudaHipRt_3_01TApi_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetAccName_3_01AccGpuUniformCudaHipRt_3_01TApi_00_01TDim_00_01TIdx_01_4_01_4.html @@ -148,7 +148,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetDev_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetDev_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 12b6d1a588b1..006fd5630dfa 100644 --- a/structalpaka_1_1trait_1_1GetDev_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetDev_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetDev_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetDev_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index a2c003a67aea..5547c78e1c9f 100644 --- a/structalpaka_1_1trait_1_1GetDev_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetDev_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -149,7 +149,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetExtents_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetExtents_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 3fe7ac6789c5..74272bbecaa9 100644 --- a/structalpaka_1_1trait_1_1GetExtents_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetExtents_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetExtents_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetExtents_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 50d9967a5039..fe9d418eba2c 100644 --- a/structalpaka_1_1trait_1_1GetExtents_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetExtents_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -144,7 +144,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetExtents_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetExtents_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 920ada78ae2f..cf2f4f494521 100644 --- a/structalpaka_1_1trait_1_1GetExtents_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetExtents_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetExtents_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetExtents_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 3a4f4bb63a32..5126fb3e25a9 100644 --- a/structalpaka_1_1trait_1_1GetExtents_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetExtents_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -148,7 +148,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetExtents_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetExtents_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html index f8c22f480195..f7a6679f522b 100644 --- a/structalpaka_1_1trait_1_1GetExtents_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetExtents_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetExtents_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html b/structalpaka_1_1trait_1_1GetExtents_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html index 94636b3cc5c3..1102f52d1870 100644 --- a/structalpaka_1_1trait_1_1GetExtents_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetExtents_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html @@ -145,7 +145,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01TIdx_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4-members.html b/structalpaka_1_1trait_1_1GetIdx_3_01TIdx_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4-members.html index d869a659e6a9..1831d77dc385 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01TIdx_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01TIdx_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01TIdx_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4.html b/structalpaka_1_1trait_1_1GetIdx_3_01TIdx_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4.html index 1d1b07f2302e..d76ef86cd643 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01TIdx_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01TIdx_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4.html @@ -162,7 +162,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_0cffc6a107ffa1b5c0496d040373f9707.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_0cffc6a107ffa1b5c0496d040373f9707.html index a164ec910068..b85c15825fc4 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_0cffc6a107ffa1b5c0496d040373f9707.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_0cffc6a107ffa1b5c0496d040373f9707.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Blo97b0f17125473f9cbffd95db2ffedb1c.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Blo97b0f17125473f9cbffd95db2ffedb1c.html index 662eacfb91ac..b39489f420b7 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Blo97b0f17125473f9cbffd95db2ffedb1c.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Blo97b0f17125473f9cbffd95db2ffedb1c.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html index 5f97690e65b0..51ca0f3eb7ef 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html @@ -163,7 +163,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_01or685701cfce7f9766f25097e73f532ff8.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_01or685701cfce7f9766f25097e73f532ff8.html index e693cce07fdd..41e47b4c7d54 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_01or685701cfce7f9766f25097e73f532ff8.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_01or685701cfce7f9766f25097e73f532ff8.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_01orfa32f042eafefc46235da927f91d5010.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_01orfa32f042eafefc46235da927f91d5010.html index a238b4875576..2d2287c81b93 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_01orfa32f042eafefc46235da927f91d5010.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_01orfa32f042eafefc46235da927f91d5010.html @@ -159,7 +159,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html index 0534d173859d..942e9b6d97ea 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html @@ -163,7 +163,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_ce77cc3c87efafc8b2c43323e28f070c.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_ce77cc3c87efafc8b2c43323e28f070c.html index b97b228a4f7d..36dea41c268e 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_ce77cc3c87efafc8b2c43323e28f070c.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_ce77cc3c87efafc8b2c43323e28f070c.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_00_01origi8069117bc4bac0983c9d74768e238fb2.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_00_01origi8069117bc4bac0983c9d74768e238fb2.html index eec5a4fad427..efc0778ba08f 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_00_01origi8069117bc4bac0983c9d74768e238fb2.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_00_01origi8069117bc4bac0983c9d74768e238fb2.html @@ -163,7 +163,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_00_01origif2f44c2451a0a6e66f8ba68be6ce5e4b.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_00_01origif2f44c2451a0a6e66f8ba68be6ce5e4b.html index 9859a7b7a778..4b4fc449eb65 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_00_01origif2f44c2451a0a6e66f8ba68be6ce5e4b.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_00_01origif2f44c2451a0a6e66f8ba68be6ce5e4b.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_743d8c8aa2c9b04096d0443941674e24.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_743d8c8aa2c9b04096d0443941674e24.html index 4136b659cf73..db1c7d9989fb 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_743d8c8aa2c9b04096d0443941674e24.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_743d8c8aa2c9b04096d0443941674e24.html @@ -163,7 +163,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_c231e656a9644207d83ccc3dc404b7a9.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_c231e656a9644207d83ccc3dc404b7a9.html index 20c64e9fabdc..a73e859d2a5a 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_c231e656a9644207d83ccc3dc404b7a9.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_c231e656a9644207d83ccc3dc404b7a9.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block6436e97b44770d86432e4edef6b99dbe.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block6436e97b44770d86432e4edef6b99dbe.html index 975a2932a8ca..2c8b502c892a 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block6436e97b44770d86432e4edef6b99dbe.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block6436e97b44770d86432e4edef6b99dbe.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html index 355c2d016651..e68d2313afd7 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Block_00_01unit_1_1Threads_01_4.html @@ -163,7 +163,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_036e1a734d5e85f602da4afa018bce556.html b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_036e1a734d5e85f602da4afa018bce556.html index d249bd3207eb..5786ad09bc5a 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_036e1a734d5e85f602da4afa018bce556.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_036e1a734d5e85f602da4afa018bce556.html @@ -159,7 +159,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_0fc07d6c8b40f5ffe9d2fd175d237e516.html b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_0fc07d6c8b40f5ffe9d2fd175d237e516.html index 030d03b4cdb1..0e7bd4ac67f9 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_0fc07d6c8b40f5ffe9d2fd175d237e516.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01DimInt_3_011u_01_4_00_01TIdx_01_4_00_0fc07d6c8b40f5ffe9d2fd175d237e516.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Gri60d748839661b16a7ff7cb57ebbb287a.html b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Gri60d748839661b16a7ff7cb57ebbb287a.html index f2a28f6400a3..c1afe3cc7fc2 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Gri60d748839661b16a7ff7cb57ebbb287a.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Gri60d748839661b16a7ff7cb57ebbb287a.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4.html b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4.html index d701816db0ab..997a6e282844 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4.html @@ -163,7 +163,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4-members.html b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4-members.html index e9832a8317c7..ead9bfbb4802 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4.html b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4.html index 62a5fa09a30a..d24b28ca6c01 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_00_01origin_1_1Grid_00_01unit_1_1Blocks_01_4.html @@ -163,7 +163,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_6826ad33c6092c584816cbc7a86e2446.html b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_6826ad33c6092c584816cbc7a86e2446.html index 5ab5135e56ae..0f89d91e7d4b 100644 --- a/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_6826ad33c6092c584816cbc7a86e2446.html +++ b/structalpaka_1_1trait_1_1GetIdx_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_00_6826ad33c6092c584816cbc7a86e2446.html @@ -163,7 +163,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetOffsets_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetOffsets_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index a4b9c934d7e9..ce03108d5e46 100644 --- a/structalpaka_1_1trait_1_1GetOffsets_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetOffsets_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetOffsets_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetOffsets_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 3dfb76653bde..5242f8c3ff4b 100644 --- a/structalpaka_1_1trait_1_1GetOffsets_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetOffsets_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetOffsets_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetOffsets_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 774dec99901a..851221fa262e 100644 --- a/structalpaka_1_1trait_1_1GetOffsets_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetOffsets_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetOffsets_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetOffsets_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 7d0e8e421488..b7bf98a789eb 100644 --- a/structalpaka_1_1trait_1_1GetOffsets_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetOffsets_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -148,7 +148,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html index 96e1de544582..9e8aa7fc6b1f 100644 --- a/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html b/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html index 288ae31b0ad8..31617ac58b2c 100644 --- a/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html index 270924dbfafe..c83303787fab 100644 --- a/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html b/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html index 522623ce0c15..067c5daa0398 100644 --- a/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetOffsets_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html @@ -149,7 +149,7 @@

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                                                                                                                                                        - +
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                                                                                                                                                        - +
                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index d00d0d466e3a..6cf88bd689e6 100644 --- a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index b48f44a8b3e1..c5aec04167f5 100644 --- a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -145,7 +145,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewConst_3_01TView_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewConst_3_01TView_01_4_01_4-members.html index 8aded6eff8db..5d77be43cc78 100644 --- a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewConst_3_01TView_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewConst_3_01TView_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewConst_3_01TView_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewConst_3_01TView_01_4_01_4.html index 6b207b124829..0fd9ed1b4144 100644 --- a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewConst_3_01TView_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewConst_3_01TView_01_4_01_4.html @@ -144,7 +144,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 091d9511a1d9..3e9efd4559cc 100644 --- a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index fac0e8a54cba..1de146645562 100644 --- a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -144,7 +144,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 30716f5faf09..737efca522be 100644 --- a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index e8a758ed0f3f..718b263e0e8e 100644 --- a/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPitchesInBytes_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -148,7 +148,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrDev.html b/structalpaka_1_1trait_1_1GetPtrDev.html index 3db12f1d107b..bcab9ee29289 100644 --- a/structalpaka_1_1trait_1_1GetPtrDev.html +++ b/structalpaka_1_1trait_1_1GetPtrDev.html @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevCpu_01_4-members.html b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevCpu_01_4-members.html index 31eb2927e1e8..1933ca7e32c5 100644 --- a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevCpu_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevCpu_01_4-members.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevCpu_01_4.html b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevCpu_01_4.html index 120f00007873..bdde5789f194 100644 --- a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevCpu_01_4.html +++ b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevCpu_01_4.html @@ -202,7 +202,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevUniform392a8d05d56cbb74a18d11f079e66cdd.html b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevUniform392a8d05d56cbb74a18d11f079e66cdd.html index 77a70cdeb114..2d07365109d7 100644 --- a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevUniform392a8d05d56cbb74a18d11f079e66cdd.html +++ b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevUniform392a8d05d56cbb74a18d11f079e66cdd.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html index 35c060a8519d..98a5a26f0b29 100644 --- a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_00_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html @@ -202,7 +202,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TI1d297e90c6baf5572a528bbc508c5d3c.html b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TI1d297e90c6baf5572a528bbc508c5d3c.html index 7e67c84896b1..9c9ac267f8d1 100644 --- a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TI1d297e90c6baf5572a528bbc508c5d3c.html +++ b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TI1d297e90c6baf5572a528bbc508c5d3c.html @@ -202,7 +202,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIaf759622ce3ca416cf5db6ab18d0bbc5.html b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIaf759622ce3ca416cf5db6ab18d0bbc5.html index 0851bb2c97a0..58f96e3c965c 100644 --- a/structalpaka_1_1trait_1_1GetPtrDev_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIaf759622ce3ca416cf5db6ab18d0bbc5.html +++ b/structalpaka_1_1trait_1_1GetPtrDev_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIaf759622ce3ca416cf5db6ab18d0bbc5.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrNative.html b/structalpaka_1_1trait_1_1GetPtrNative.html index cf3730d94f17..71939ac8cfb7 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative.html +++ b/structalpaka_1_1trait_1_1GetPtrNative.html @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index e0b3d853ed90..db1b24065804 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 310860cc591a..b706f1b25882 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -182,7 +182,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index d88eb8aa83af..dd9effd54447 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 883ff6a291bb..08feffe83024 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -182,7 +182,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewConst_3_01TView_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewConst_3_01TView_01_4_01_4-members.html index 2064aa24b0e7..048117254466 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewConst_3_01TView_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewConst_3_01TView_01_4_01_4-members.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewConst_3_01TView_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewConst_3_01TView_01_4_01_4.html index 8481ec56df96..d0e56b6ff7a5 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewConst_3_01TView_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewConst_3_01TView_01_4_01_4.html @@ -170,7 +170,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 4d2fa7f74169..dc449e2de1aa 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 9b8aa5978e88..305dadd2d483 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -182,7 +182,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 672e871e1ea8..11e79070259f 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 381413c252ef..84c8d853c483 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -182,7 +182,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html index e97694377397..7f27057aa001 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4-members.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html index 17da51869496..4c9395ce221f 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1array_3_01TElem_00_01Tsize_01_4_01_4.html @@ -182,7 +182,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html index 07458747ccd5..f3c58f4082ad 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4-members.html @@ -97,7 +97,7 @@ diff --git a/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html b/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html index e0a7277d2ae4..1f780973fb60 100644 --- a/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetPtrNative_3_01std_1_1vector_3_01TElem_00_01TAllocator_01_4_01_4.html @@ -182,7 +182,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetWarpSizes_3_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html b/structalpaka_1_1trait_1_1GetWarpSizes_3_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html index b1da59e29010..5331ef761039 100644 --- a/structalpaka_1_1trait_1_1GetWarpSizes_3_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetWarpSizes_3_01DevUniformCudaHipRt_3_01TApi_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetWarpSizes_3_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html b/structalpaka_1_1trait_1_1GetWarpSizes_3_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html index 6a2e19d3309d..79f3f927f89e 100644 --- a/structalpaka_1_1trait_1_1GetWarpSizes_3_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1GetWarpSizes_3_01DevUniformCudaHipRt_3_01TApi_01_4_01_4.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetWorkDiv.html b/structalpaka_1_1trait_1_1GetWorkDiv.html index 99a2c81011b0..64b3df70d6d4 100644 --- a/structalpaka_1_1trait_1_1GetWorkDiv.html +++ b/structalpaka_1_1trait_1_1GetWorkDiv.html @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Block_00_01unit_1_1Elems_01_4-members.html b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Block_00_01unit_1_1Elems_01_4-members.html index 7caa10b63c86..20f9af1a9326 100644 --- a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Block_00_01unit_1_1Elems_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Block_00_01unit_1_1Elems_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Block_00_01unit_1_1Elems_01_4.html b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Block_00_01unit_1_1Elems_01_4.html index ead1c0f89415..546a0a8a6865 100644 --- a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Block_00_01unit_1_1Elems_01_4.html +++ b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Block_00_01unit_1_1Elems_01_4.html @@ -148,7 +148,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Elems_01_4-members.html b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Elems_01_4-members.html index f0057fc4fadf..425709574647 100644 --- a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Elems_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Elems_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Elems_01_4.html b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Elems_01_4.html index 95c909750b13..14d5d2dae3a2 100644 --- a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Elems_01_4.html +++ b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Elems_01_4.html @@ -148,7 +148,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4-members.html b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4-members.html index 71d9bd5e19a4..0740f92de507 100644 --- a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4-members.html +++ b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4.html b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4.html index ecdb1621b743..0071c41c5856 100644 --- a/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4.html +++ b/structalpaka_1_1trait_1_1GetWorkDiv_3_01TWorkDiv_00_01origin_1_1Grid_00_01unit_1_1Threads_01_4.html @@ -148,7 +148,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index cffbc9df2014..1d5da0f71326 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index d1f7cbf5b427..350732d98e98 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01BufCpu_3_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index db7f370b668b..60cf7238cd26 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 54a5d03b58b0..1ca25fffa962 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01BufUniformCudaHipRt_3_01TApi_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html index c885319bffa4..a16ea7deeca4 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01TaskKernelCpuOmp2Threads_3_01TDim_00_01TIdx_00_01TKernelFnObj_00_01TArgs_8_8_8_01_4_01_4.html @@ -136,7 +136,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01Vec_3_01TDim_00_01TVal_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01Vec_3_01TDim_00_01TVal_01_4_01_4-members.html index 9244ffb490a3..feb33bca6b6b 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01Vec_3_01TDim_00_01TVal_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01Vec_3_01TDim_00_01TVal_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01Vec_3_01TDim_00_01TVal_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01Vec_3_01TDim_00_01TVal_01_4_01_4.html index 57f240bf1881..a4144de127d4 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01Vec_3_01TDim_00_01TVal_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01Vec_3_01TDim_00_01TVal_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01ViewConst_3_01TView_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01ViewConst_3_01TView_01_4_01_4.html index 6debad4fa106..819983423426 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01ViewConst_3_01TView_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01ViewConst_3_01TView_01_4_01_4.html @@ -115,7 +115,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 490ecca5b099..a17f7d88e7a5 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 4b799e68c596..8900d7eb5549 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01ViewPlainPtr_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html index 19c2826a65d2..9b016e3a7931 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html index 75742065a3fc..b89b6c088ee2 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01ViewSubView_3_01TDev_00_01TElem_00_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01WorkDivMembers_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01WorkDivMembers_3_01TDim_00_01TIdx_01_4_01_4-members.html index a7ea372d4053..aa9809f2d635 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01WorkDivMembers_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01WorkDivMembers_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01WorkDivMembers_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01WorkDivMembers_3_01TDim_00_01TIdx_01_4_01_4.html index 6bffb7cbdfdc..b5064b1f5c26 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01WorkDivMembers_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01WorkDivMembers_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html index add09cd32bfb..c56e549df427 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html index 1159a284d9d2..d1cee44b803f 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01WorkDivUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html index 45dcf0acbc0a..f9c435cd6725 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4.html index a3736066a9a6..65eb3d42413b 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtLinear_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4-members.html index 2a0933ae888c..e37ae3c543f9 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4.html index 29850eeba4d0..8f314554b944 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtOmp_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4-members.html index 614c0e39100e..1ba42229b2cd 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4.html index 23b2798daa91..62c20dd61c94 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtRefThreadIdMap_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html index 28eb4eed7ed7..8824643dc4a1 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html index ee5fe97d80c4..18b73e45e2df 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4-members.html index cee7e77bf5b1..2f987bbc476e 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4.html index d104f2c61214..4cc58e48720e 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01bt_1_1IdxBtZero_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html index a37cea5ade35..90f40734684e 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4.html index ce3ed7fecdf2..85bd5fc6dec7 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbLinear_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4-members.html index e77d51a680be..6290dcb1292e 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4.html index f15cb3aa2830..7b858428d1a2 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbRef_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html index 9035c5d497d2..1ca1359e5b6f 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html index 81062151e4cd..5779ddc1a343 100644 --- a/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html +++ b/structalpaka_1_1trait_1_1IdxType_3_01gb_1_1IdxGbUniformCudaHipBuiltIn_3_01TDim_00_01TIdx_01_4_01_4.html @@ -136,7 +136,7 @@

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                                                                                                                                                      The active mask trait.

                                                                                                                                                      -

                                                                                                                                                      Definition at line 44 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      Definition at line 56 of file Traits.hpp.


                                                                                                                                                      The documentation for this struct was generated from the following file:
                                                                                                                                                      • /home/runner/work/alpaka/alpaka/include/alpaka/warp/Traits.hpp
                                                                                                                                                      @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1warp_1_1trait_1_1Activemask_3_01WarpSingleThread_01_4-members.html b/structalpaka_1_1warp_1_1trait_1_1Activemask_3_01WarpSingleThread_01_4-members.html index 74aecc1c9507..8e766aac182f 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Activemask_3_01WarpSingleThread_01_4-members.html +++ b/structalpaka_1_1warp_1_1trait_1_1Activemask_3_01WarpSingleThread_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1warp_1_1trait_1_1Activemask_3_01WarpSingleThread_01_4.html b/structalpaka_1_1warp_1_1trait_1_1Activemask_3_01WarpSingleThread_01_4.html index 79afa98cc573..91fa0f4a85e2 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Activemask_3_01WarpSingleThread_01_4.html +++ b/structalpaka_1_1warp_1_1trait_1_1Activemask_3_01WarpSingleThread_01_4.html @@ -139,7 +139,7 @@

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                                                                                                                                                      diff --git a/structalpaka_1_1warp_1_1trait_1_1Ballot.html b/structalpaka_1_1warp_1_1trait_1_1Ballot.html index 36596d506a7a..4c09e3a2d783 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Ballot.html +++ b/structalpaka_1_1warp_1_1trait_1_1Ballot.html @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpSingleThread_01_4-members.html b/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpSingleThread_01_4-members.html index 460431ece4e7..d1074954cd74 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpSingleThread_01_4-members.html +++ b/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpSingleThread_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpSingleThread_01_4.html b/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpSingleThread_01_4.html index a3577f164773..c4b0f69dc271 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpSingleThread_01_4.html +++ b/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpSingleThread_01_4.html @@ -149,7 +149,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpUniformCudaHipBuiltIn_01_4-members.html b/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpUniformCudaHipBuiltIn_01_4-members.html index 716555f01ee4..6e0a56888f1f 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpUniformCudaHipBuiltIn_01_4-members.html +++ b/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpUniformCudaHipBuiltIn_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpUniformCudaHipBuiltIn_01_4.html b/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpUniformCudaHipBuiltIn_01_4.html index c70eea078cf6..a9e51181cd94 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpUniformCudaHipBuiltIn_01_4.html +++ b/structalpaka_1_1warp_1_1trait_1_1Ballot_3_01WarpUniformCudaHipBuiltIn_01_4.html @@ -153,7 +153,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1warp_1_1trait_1_1GetSize.html b/structalpaka_1_1warp_1_1trait_1_1GetSize.html index 7c9a6b705fff..97de90f1ce45 100644 --- a/structalpaka_1_1warp_1_1trait_1_1GetSize.html +++ b/structalpaka_1_1warp_1_1trait_1_1GetSize.html @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpSingleThread_01_4-members.html b/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpSingleThread_01_4-members.html index 5f98c4db877b..e0053d309ede 100644 --- a/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpSingleThread_01_4-members.html +++ b/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpSingleThread_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpSingleThread_01_4.html b/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpSingleThread_01_4.html index 318d4e06d474..798a10e210e5 100644 --- a/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpSingleThread_01_4.html +++ b/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpSingleThread_01_4.html @@ -139,7 +139,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4-members.html b/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4-members.html index 5932bb4ef396..bfdd2f26b3e1 100644 --- a/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4-members.html +++ b/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4.html b/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4.html index c8339bde3707..edf6a393d213 100644 --- a/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4.html +++ b/structalpaka_1_1warp_1_1trait_1_1GetSize_3_01WarpUniformCudaHipBuiltIn_01_4.html @@ -140,7 +140,7 @@

                                                                                                                                                      diff --git a/structalpaka_1_1warp_1_1trait_1_1Shfl.html b/structalpaka_1_1warp_1_1trait_1_1Shfl.html index 9f52438242bd..de55e2cec935 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Shfl.html +++ b/structalpaka_1_1warp_1_1trait_1_1Shfl.html @@ -106,7 +106,7 @@ diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflDown.html b/structalpaka_1_1warp_1_1trait_1_1ShflDown.html new file mode 100644 index 000000000000..8dc136530886 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflDown.html @@ -0,0 +1,113 @@ + + + + + + + +alpaka: alpaka::warp::trait::ShflDown< TWarp, TSfinae > Struct Template Reference + + + + + + + + + + + + + +
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                                                                                                                                                      alpaka +
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                                                                                                                                                      alpaka::warp::trait::ShflDown< TWarp, TSfinae > Struct Template Reference
                                                                                                                                                      +
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                                                                                                                                                      + +

                                                                                                                                                      The shfl down warp swizzling trait. + More...

                                                                                                                                                      +

                                                                                                                                                      Detailed Description

                                                                                                                                                      +

                                                                                                                                                      template<typename TWarp, typename TSfinae = void>
                                                                                                                                                      +struct alpaka::warp::trait::ShflDown< TWarp, TSfinae >

                                                                                                                                                      + +

                                                                                                                                                      The shfl down warp swizzling trait.

                                                                                                                                                      + +

                                                                                                                                                      Definition at line 48 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      The documentation for this struct was generated from the following file:
                                                                                                                                                        +
                                                                                                                                                      • /home/runner/work/alpaka/alpaka/include/alpaka/warp/Traits.hpp
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                                                                                                                                                      alpaka +
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                                                                                                                                                      Abstraction Library for Parallel Kernel Acceleration
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                                                                                                                                                      alpaka::warp::trait::ShflDown< WarpSingleThread > Member List
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                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      This is the complete list of members for alpaka::warp::trait::ShflDown< WarpSingleThread >, including all inherited members.

                                                                                                                                                      + + +
                                                                                                                                                      shfl_down(warp::WarpSingleThread const &, T val, std::uint32_t, std::int32_t)alpaka::warp::trait::ShflDown< WarpSingleThread >inlinestatic
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4.html b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4.html new file mode 100644 index 000000000000..4a6cea66edbf --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4.html @@ -0,0 +1,171 @@ + + + + + + + +alpaka: alpaka::warp::trait::ShflDown< WarpSingleThread > Struct Reference + + + + + + + + + + + + + +
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                                                                                                                                                      alpaka +
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                                                                                                                                                      alpaka::warp::trait::ShflDown< WarpSingleThread > Struct Reference
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      #include <WarpSingleThread.hpp>

                                                                                                                                                      + + + + + +

                                                                                                                                                      +Static Public Member Functions

                                                                                                                                                      template<typename T >
                                                                                                                                                      static auto shfl_down (warp::WarpSingleThread const &, T val, std::uint32_t, std::int32_t)
                                                                                                                                                       
                                                                                                                                                      +

                                                                                                                                                      Detailed Description

                                                                                                                                                      +
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                                                                                                                                                      Definition at line 94 of file WarpSingleThread.hpp.

                                                                                                                                                      +

                                                                                                                                                      Member Function Documentation

                                                                                                                                                      + +

                                                                                                                                                      ◆ shfl_down()

                                                                                                                                                      + +
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                                                                                                                                                      +template<typename T >
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                                                                                                                                                      static auto alpaka::warp::trait::ShflDown< WarpSingleThread >::shfl_down (warp::WarpSingleThread const & ,
                                                                                                                                                      val,
                                                                                                                                                      std::uint32_t ,
                                                                                                                                                      std::int32_t  
                                                                                                                                                      )
                                                                                                                                                      +
                                                                                                                                                      +inlinestatic
                                                                                                                                                      +
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                                                                                                                                                      Definition at line 97 of file WarpSingleThread.hpp.

                                                                                                                                                      + +
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                                                                                                                                                      The documentation for this struct was generated from the following file: +
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4.js b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4.js new file mode 100644 index 000000000000..d437850f7c09 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4.js @@ -0,0 +1,4 @@ +var structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4 = +[ + [ "shfl_down", "structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpSingleThread_01_4.html#aba0178eb26db8d310a7647d7910cfad4", null ] +]; \ No newline at end of file diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4-members.html b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4-members.html new file mode 100644 index 000000000000..dcd9585f71f4 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4-members.html @@ -0,0 +1,103 @@ + + + + + + + +alpaka: Member List + + + + + + + + + + + + + +
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                                                                                                                                                      alpaka +
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                                                                                                                                                      alpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn > Member List
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                                                                                                                                                      + +

                                                                                                                                                      This is the complete list of members for alpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn >, including all inherited members.

                                                                                                                                                      + + +
                                                                                                                                                      shfl_down([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, std::uint32_t offset, std::int32_t width) -> Talpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn >inlinestatic
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4.html b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4.html new file mode 100644 index 000000000000..e69b8514a19f --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4.html @@ -0,0 +1,172 @@ + + + + + + + +alpaka: alpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn > Struct Reference + + + + + + + + + + + + + +
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                                                                                                                                                      alpaka +
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                                                                                                                                                      alpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn > Struct Reference
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                                                                                                                                                      #include <WarpUniformCudaHipBuiltIn.hpp>

                                                                                                                                                      + + + + + +

                                                                                                                                                      +Static Public Member Functions

                                                                                                                                                      template<typename T >
                                                                                                                                                      static __device__ auto shfl_down ([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, std::uint32_t offset, std::int32_t width) -> T
                                                                                                                                                       
                                                                                                                                                      +

                                                                                                                                                      Detailed Description

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                                                                                                                                                      Definition at line 150 of file WarpUniformCudaHipBuiltIn.hpp.

                                                                                                                                                      +

                                                                                                                                                      Member Function Documentation

                                                                                                                                                      + +

                                                                                                                                                      ◆ shfl_down()

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                                                                                                                                                      +template<typename T >
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                                                                                                                                                      static __device__ auto alpaka::warp::trait::ShflDown< WarpUniformCudaHipBuiltIn >::shfl_down ([[maybe_unused] ] warp::WarpUniformCudaHipBuiltIn const & warp,
                                                                                                                                                      val,
                                                                                                                                                      std::uint32_t offset,
                                                                                                                                                      std::int32_t width 
                                                                                                                                                      ) -> T +
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                                                                                                                                                      +inlinestatic
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                                                                                                                                                      Definition at line 153 of file WarpUniformCudaHipBuiltIn.hpp.

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                                                                                                                                                      The documentation for this struct was generated from the following file: +
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                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4.js b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4.js new file mode 100644 index 000000000000..f613fde081a1 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4.js @@ -0,0 +1,4 @@ +var structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4 = +[ + [ "shfl_down", "structalpaka_1_1warp_1_1trait_1_1ShflDown_3_01WarpUniformCudaHipBuiltIn_01_4.html#a949e99ef4f359aca69e2e00410ef87ed", null ] +]; \ No newline at end of file diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflUp.html b/structalpaka_1_1warp_1_1trait_1_1ShflUp.html new file mode 100644 index 000000000000..e8724a4e63ff --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflUp.html @@ -0,0 +1,113 @@ + + + + + + + +alpaka: alpaka::warp::trait::ShflUp< TWarp, TSfinae > Struct Template Reference + + + + + + + + + + + + + +
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                                                                                                                                                      alpaka +
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                                                                                                                                                      alpaka::warp::trait::ShflUp< TWarp, TSfinae > Struct Template Reference
                                                                                                                                                      +
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                                                                                                                                                      + +

                                                                                                                                                      The shfl up warp swizzling trait. + More...

                                                                                                                                                      +

                                                                                                                                                      Detailed Description

                                                                                                                                                      +

                                                                                                                                                      template<typename TWarp, typename TSfinae = void>
                                                                                                                                                      +struct alpaka::warp::trait::ShflUp< TWarp, TSfinae >

                                                                                                                                                      + +

                                                                                                                                                      The shfl up warp swizzling trait.

                                                                                                                                                      + +

                                                                                                                                                      Definition at line 44 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      The documentation for this struct was generated from the following file:
                                                                                                                                                        +
                                                                                                                                                      • /home/runner/work/alpaka/alpaka/include/alpaka/warp/Traits.hpp
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                                                                                                                                                      alpaka::warp::trait::ShflUp< WarpSingleThread > Member List
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      This is the complete list of members for alpaka::warp::trait::ShflUp< WarpSingleThread >, including all inherited members.

                                                                                                                                                      + + +
                                                                                                                                                      shfl_up(warp::WarpSingleThread const &, T val, std::uint32_t, std::int32_t)alpaka::warp::trait::ShflUp< WarpSingleThread >inlinestatic
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4.html b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4.html new file mode 100644 index 000000000000..7da8efa6befa --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4.html @@ -0,0 +1,171 @@ + + + + + + + +alpaka: alpaka::warp::trait::ShflUp< WarpSingleThread > Struct Reference + + + + + + + + + + + + + +
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                                                                                                                                                      alpaka +
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                                                                                                                                                      alpaka::warp::trait::ShflUp< WarpSingleThread > Struct Reference
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                                                                                                                                                      #include <WarpSingleThread.hpp>

                                                                                                                                                      + + + + + +

                                                                                                                                                      +Static Public Member Functions

                                                                                                                                                      template<typename T >
                                                                                                                                                      static auto shfl_up (warp::WarpSingleThread const &, T val, std::uint32_t, std::int32_t)
                                                                                                                                                       
                                                                                                                                                      +

                                                                                                                                                      Detailed Description

                                                                                                                                                      +
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                                                                                                                                                      Definition at line 80 of file WarpSingleThread.hpp.

                                                                                                                                                      +

                                                                                                                                                      Member Function Documentation

                                                                                                                                                      + +

                                                                                                                                                      ◆ shfl_up()

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                                                                                                                                                      static auto alpaka::warp::trait::ShflUp< WarpSingleThread >::shfl_up (warp::WarpSingleThread const & ,
                                                                                                                                                      val,
                                                                                                                                                      std::uint32_t ,
                                                                                                                                                      std::int32_t  
                                                                                                                                                      )
                                                                                                                                                      +
                                                                                                                                                      +inlinestatic
                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      Definition at line 83 of file WarpSingleThread.hpp.

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                                                                                                                                                      The documentation for this struct was generated from the following file: +
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4.js b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4.js new file mode 100644 index 000000000000..df8fa3537b4a --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4.js @@ -0,0 +1,4 @@ +var structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4 = +[ + [ "shfl_up", "structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpSingleThread_01_4.html#a50363e1ad15b25da385928046663f6ac", null ] +]; \ No newline at end of file diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4-members.html b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4-members.html new file mode 100644 index 000000000000..aa8eaafce56d --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4-members.html @@ -0,0 +1,103 @@ + + + + + + + +alpaka: Member List + + + + + + + + + + + + + +
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                                                                                                                                                      alpaka +
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                                                                                                                                                      alpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn > Member List
                                                                                                                                                      +
                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      This is the complete list of members for alpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn >, including all inherited members.

                                                                                                                                                      + + +
                                                                                                                                                      shfl_up([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, std::uint32_t offset, std::int32_t width) -> Talpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn >inlinestatic
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4.html b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4.html new file mode 100644 index 000000000000..509e94efa8e0 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4.html @@ -0,0 +1,172 @@ + + + + + + + +alpaka: alpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn > Struct Reference + + + + + + + + + + + + + +
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                                                                                                                                                      alpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn > Struct Reference
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                                                                                                                                                      + +

                                                                                                                                                      #include <WarpUniformCudaHipBuiltIn.hpp>

                                                                                                                                                      + + + + + +

                                                                                                                                                      +Static Public Member Functions

                                                                                                                                                      template<typename T >
                                                                                                                                                      static __device__ auto shfl_up ([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, std::uint32_t offset, std::int32_t width) -> T
                                                                                                                                                       
                                                                                                                                                      +

                                                                                                                                                      Detailed Description

                                                                                                                                                      +
                                                                                                                                                      +

                                                                                                                                                      Definition at line 132 of file WarpUniformCudaHipBuiltIn.hpp.

                                                                                                                                                      +

                                                                                                                                                      Member Function Documentation

                                                                                                                                                      + +

                                                                                                                                                      ◆ shfl_up()

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                                                                                                                                                      static __device__ auto alpaka::warp::trait::ShflUp< WarpUniformCudaHipBuiltIn >::shfl_up ([[maybe_unused] ] warp::WarpUniformCudaHipBuiltIn const & warp,
                                                                                                                                                      val,
                                                                                                                                                      std::uint32_t offset,
                                                                                                                                                      std::int32_t width 
                                                                                                                                                      ) -> T +
                                                                                                                                                      +
                                                                                                                                                      +inlinestatic
                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      Definition at line 135 of file WarpUniformCudaHipBuiltIn.hpp.

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                                                                                                                                                      The documentation for this struct was generated from the following file: +
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4.js b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4.js new file mode 100644 index 000000000000..4f1984b71499 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4.js @@ -0,0 +1,4 @@ +var structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4 = +[ + [ "shfl_up", "structalpaka_1_1warp_1_1trait_1_1ShflUp_3_01WarpUniformCudaHipBuiltIn_01_4.html#a782921ebe2aa0305e8f2078b0b667f6e", null ] +]; \ No newline at end of file diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflXor.html b/structalpaka_1_1warp_1_1trait_1_1ShflXor.html new file mode 100644 index 000000000000..383bef9c5db4 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflXor.html @@ -0,0 +1,113 @@ + + + + + + + +alpaka: alpaka::warp::trait::ShflXor< TWarp, TSfinae > Struct Template Reference + + + + + + + + + + + + + +
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                                                                                                                                                      +
                                                                                                                                                      alpaka +
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                                                                                                                                                      Abstraction Library for Parallel Kernel Acceleration
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                                                                                                                                                      alpaka::warp::trait::ShflXor< TWarp, TSfinae > Struct Template Reference
                                                                                                                                                      +
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                                                                                                                                                      + +

                                                                                                                                                      The shfl xor warp swizzling trait. + More...

                                                                                                                                                      +

                                                                                                                                                      Detailed Description

                                                                                                                                                      +

                                                                                                                                                      template<typename TWarp, typename TSfinae = void>
                                                                                                                                                      +struct alpaka::warp::trait::ShflXor< TWarp, TSfinae >

                                                                                                                                                      + +

                                                                                                                                                      The shfl xor warp swizzling trait.

                                                                                                                                                      + +

                                                                                                                                                      Definition at line 52 of file Traits.hpp.

                                                                                                                                                      +

                                                                                                                                                      The documentation for this struct was generated from the following file:
                                                                                                                                                        +
                                                                                                                                                      • /home/runner/work/alpaka/alpaka/include/alpaka/warp/Traits.hpp
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                                                                                                                                                      alpaka::warp::trait::ShflXor< WarpSingleThread > Member List
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                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      This is the complete list of members for alpaka::warp::trait::ShflXor< WarpSingleThread >, including all inherited members.

                                                                                                                                                      + + +
                                                                                                                                                      shfl_xor(warp::WarpSingleThread const &, T val, std::int32_t, std::int32_t)alpaka::warp::trait::ShflXor< WarpSingleThread >inlinestatic
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4.html b/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4.html new file mode 100644 index 000000000000..203f31b335c9 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4.html @@ -0,0 +1,171 @@ + + + + + + + +alpaka: alpaka::warp::trait::ShflXor< WarpSingleThread > Struct Reference + + + + + + + + + + + + + +
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                                                                                                                                                      +
                                                                                                                                                      alpaka +
                                                                                                                                                      +
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                                                                                                                                                      alpaka::warp::trait::ShflXor< WarpSingleThread > Struct Reference
                                                                                                                                                      +
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                                                                                                                                                      + +

                                                                                                                                                      #include <WarpSingleThread.hpp>

                                                                                                                                                      + + + + + +

                                                                                                                                                      +Static Public Member Functions

                                                                                                                                                      template<typename T >
                                                                                                                                                      static auto shfl_xor (warp::WarpSingleThread const &, T val, std::int32_t, std::int32_t)
                                                                                                                                                       
                                                                                                                                                      +

                                                                                                                                                      Detailed Description

                                                                                                                                                      +
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                                                                                                                                                      Definition at line 108 of file WarpSingleThread.hpp.

                                                                                                                                                      +

                                                                                                                                                      Member Function Documentation

                                                                                                                                                      + +

                                                                                                                                                      ◆ shfl_xor()

                                                                                                                                                      + +
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                                                                                                                                                      +template<typename T >
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                                                                                                                                                      static auto alpaka::warp::trait::ShflXor< WarpSingleThread >::shfl_xor (warp::WarpSingleThread const & ,
                                                                                                                                                      val,
                                                                                                                                                      std::int32_t ,
                                                                                                                                                      std::int32_t  
                                                                                                                                                      )
                                                                                                                                                      +
                                                                                                                                                      +inlinestatic
                                                                                                                                                      +
                                                                                                                                                      + +

                                                                                                                                                      Definition at line 111 of file WarpSingleThread.hpp.

                                                                                                                                                      + +
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                                                                                                                                                      The documentation for this struct was generated from the following file: +
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4.js b/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4.js new file mode 100644 index 000000000000..c986a4785ab6 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4.js @@ -0,0 +1,4 @@ +var structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4 = +[ + [ "shfl_xor", "structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpSingleThread_01_4.html#a4d62176ac5904f7274484b1cd27ecb48", null ] +]; \ No newline at end of file diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpUniformCudaHipBuiltIn_01_4-members.html b/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpUniformCudaHipBuiltIn_01_4-members.html new file mode 100644 index 000000000000..a58d25787456 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpUniformCudaHipBuiltIn_01_4-members.html @@ -0,0 +1,103 @@ + + + + + + + +alpaka: Member List + + + + + + + + + + + + + +
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                                                                                                                                                      alpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn > Member List
                                                                                                                                                      +
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                                                                                                                                                      + +

                                                                                                                                                      This is the complete list of members for alpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn >, including all inherited members.

                                                                                                                                                      + + +
                                                                                                                                                      shfl_xor([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, std::int32_t mask, std::int32_t width) -> Talpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn >inlinestatic
                                                                                                                                                      +
                                                                                                                                                      + + + + diff --git a/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpUniformCudaHipBuiltIn_01_4.html b/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpUniformCudaHipBuiltIn_01_4.html new file mode 100644 index 000000000000..516710139415 --- /dev/null +++ b/structalpaka_1_1warp_1_1trait_1_1ShflXor_3_01WarpUniformCudaHipBuiltIn_01_4.html @@ -0,0 +1,172 @@ + + + + + + + +alpaka: alpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn > Struct Reference + + + + + + + + + + + + + +
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                                                                                                                                                      +
                                                                                                                                                      alpaka +
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                                                                                                                                                      alpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn > Struct Reference
                                                                                                                                                      +
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                                                                                                                                                      + +

                                                                                                                                                      #include <WarpUniformCudaHipBuiltIn.hpp>

                                                                                                                                                      + + + + + +

                                                                                                                                                      +Static Public Member Functions

                                                                                                                                                      template<typename T >
                                                                                                                                                      static __device__ auto shfl_xor ([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, std::int32_t mask, std::int32_t width) -> T
                                                                                                                                                       
                                                                                                                                                      +

                                                                                                                                                      Detailed Description

                                                                                                                                                      +
                                                                                                                                                      +

                                                                                                                                                      Definition at line 168 of file WarpUniformCudaHipBuiltIn.hpp.

                                                                                                                                                      +

                                                                                                                                                      Member Function Documentation

                                                                                                                                                      + +

                                                                                                                                                      ◆ shfl_xor()

                                                                                                                                                      + +
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                                                                                                                                                      +template<typename T >
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                                                                                                                                                      static __device__ auto alpaka::warp::trait::ShflXor< WarpUniformCudaHipBuiltIn >::shfl_xor ([[maybe_unused] ] warp::WarpUniformCudaHipBuiltIn const & warp,
                                                                                                                                                      val,
                                                                                                                                                      std::int32_t mask,
                                                                                                                                                      std::int32_t width 
                                                                                                                                                      ) -> T +
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                                                                                                                                                      Definition at line 171 of file WarpUniformCudaHipBuiltIn.hpp.

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                                                                                                                                                      The documentation for this struct was generated from the following file: +
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                                                                                                                                                      This is the complete list of members for alpaka::warp::trait::Shfl< WarpSingleThread >, including all inherited members.

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                                                                                                                                                      shfl(warp::WarpSingleThread const &, std::int32_t val, std::int32_t, std::int32_t)alpaka::warp::trait::Shfl< WarpSingleThread >inlinestatic
                                                                                                                                                      shfl(warp::WarpSingleThread const &, float val, std::int32_t, std::int32_t)alpaka::warp::trait::Shfl< WarpSingleThread >inlinestatic
                                                                                                                                                      shfl(warp::WarpSingleThread const &, T val, std::int32_t, std::int32_t)alpaka::warp::trait::Shfl< WarpSingleThread >inlinestatic
                                                                                                                                                      diff --git a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.html b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.html index c56a75a99904..cbcaa3e95795 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.html +++ b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.html @@ -95,20 +95,21 @@ - - - - + + +

                                                                                                                                                      Static Public Member Functions

                                                                                                                                                      static auto shfl (warp::WarpSingleThread const &, float val, std::int32_t, std::int32_t)
                                                                                                                                                       
                                                                                                                                                      static auto shfl (warp::WarpSingleThread const &, std::int32_t val, std::int32_t, std::int32_t)
                                                                                                                                                       
                                                                                                                                                      template<typename T >
                                                                                                                                                      static auto shfl (warp::WarpSingleThread const &, T val, std::int32_t, std::int32_t)
                                                                                                                                                       

                                                                                                                                                      Detailed Description

                                                                                                                                                      Definition at line 66 of file WarpSingleThread.hpp.

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                                                                                                                                                      ◆ shfl() [1/2]

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                                                                                                                                                      ◆ shfl()

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                                                                                                                                                      Definition at line 77 of file WarpSingleThread.hpp.

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                                                                                                                                                      float  val,
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                                                                                                                                                      static auto alpaka::warp::trait::Shfl< WarpSingleThread >::shfl (warp::WarpSingleThread const & ,
                                                                                                                                                      std::int32_t val,
                                                                                                                                                      std::int32_t ,
                                                                                                                                                      std::int32_t  
                                                                                                                                                      )
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                                                                                                                                                      Definition at line 68 of file WarpSingleThread.hpp.

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                                                                                                                                                      Definition at line 69 of file WarpSingleThread.hpp.

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                                                                                                                                                      diff --git a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.js b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.js index d0c4a626472a..2e0ebccf4204 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.js +++ b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.js @@ -1,5 +1,4 @@ var structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4 = [ - [ "shfl", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.html#a7a63d0f72644761eba6a762f945e9f21", null ], - [ "shfl", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.html#aa48a521316a5a855763ee8384a884878", null ] + [ "shfl", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpSingleThread_01_4.html#ab1f2e55e7615d3f3b0e7963e4cde9ea4", null ] ]; \ No newline at end of file diff --git a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4-members.html b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4-members.html index 9820708c2af8..d0edd55a4542 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4-members.html +++ b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4-members.html @@ -90,14 +90,13 @@

                                                                                                                                                      This is the complete list of members for alpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn >, including all inherited members.

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                                                                                                                                                      shfl([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, float val, int srcLane, std::int32_t width) -> floatalpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn >inlinestatic
                                                                                                                                                      shfl([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, std::int32_t val, int srcLane, std::int32_t width) -> std::int32_talpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn >inlinestatic
                                                                                                                                                      shfl([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, int srcLane, std::int32_t width) -> Talpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn >inlinestatic
                                                                                                                                                      diff --git a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html index 92f1b45098a8..164eab81cbd5 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html +++ b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html @@ -95,20 +95,21 @@ - - - - + + +

                                                                                                                                                      Static Public Member Functions

                                                                                                                                                      static __device__ auto shfl ([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, float val, int srcLane, std::int32_t width) -> float
                                                                                                                                                       
                                                                                                                                                      static __device__ auto shfl ([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, std::int32_t val, int srcLane, std::int32_t width) -> std::int32_t
                                                                                                                                                       
                                                                                                                                                      template<typename T >
                                                                                                                                                      static __device__ auto shfl ([[maybe_unused]] warp::WarpUniformCudaHipBuiltIn const &warp, T val, int srcLane, std::int32_t width) -> T
                                                                                                                                                       

                                                                                                                                                      Detailed Description

                                                                                                                                                      Definition at line 114 of file WarpUniformCudaHipBuiltIn.hpp.

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                                                                                                                                                      ◆ shfl() [1/2]

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                                                                                                                                                      ◆ shfl()

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                                                                                                                                                      Definition at line 117 of file WarpUniformCudaHipBuiltIn.hpp.

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                                                                                                                                                      float  val,
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                                                                                                                                                      static __device__ auto alpaka::warp::trait::Shfl< WarpUniformCudaHipBuiltIn >::shfl ([[maybe_unused] ] warp::WarpUniformCudaHipBuiltIn const & warp,
                                                                                                                                                      std::int32_t val,
                                                                                                                                                      int srcLane,
                                                                                                                                                      std::int32_t width 
                                                                                                                                                      ) -> std::int32_t -
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                                                                                                                                                      Definition at line 131 of file WarpUniformCudaHipBuiltIn.hpp.

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                                                                                                                                                      The documentation for this struct was generated from the following file:
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                                                                                                                                                        diff --git a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.js b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.js index 97b345c3faed..deb673f39fe4 100644 --- a/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.js +++ b/structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.js @@ -1,5 +1,4 @@ var structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4 = [ - [ "shfl", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html#a342529791286c8673b4861ed0ae39f49", null ], - [ "shfl", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html#a1e5cfd70ac1529f0450507bf2bc2a6c8", null ] + [ "shfl", "structalpaka_1_1warp_1_1trait_1_1Shfl_3_01WarpUniformCudaHipBuiltIn_01_4.html#a030628d5d8d045dbe0030256560bb9bf", null ] ]; \ No newline at end of file diff --git a/structstd_1_1tuple__element_3_01I_00_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4-members.html b/structstd_1_1tuple__element_3_01I_00_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4-members.html index 35c0b92b932a..2596f64efdf0 100644 --- a/structstd_1_1tuple__element_3_01I_00_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4-members.html +++ b/structstd_1_1tuple__element_3_01I_00_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4-members.html @@ -96,7 +96,7 @@ diff --git a/structstd_1_1tuple__element_3_01I_00_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4.html b/structstd_1_1tuple__element_3_01I_00_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4.html index a2c366235ac0..b9ce49b8da53 100644 --- a/structstd_1_1tuple__element_3_01I_00_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4.html +++ b/structstd_1_1tuple__element_3_01I_00_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4.html @@ -132,7 +132,7 @@

                                                                                                                                                        diff --git a/structstd_1_1tuple__size_3_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4.html b/structstd_1_1tuple__size_3_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4.html index 92dd37c60015..567093cb51a3 100644 --- a/structstd_1_1tuple__size_3_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4.html +++ b/structstd_1_1tuple__size_3_01alpaka_1_1Vec_3_01TDim_00_01TVal_01_4_01_4.html @@ -112,7 +112,7 @@ diff --git a/structstd_1_1tuple__size_3_01alpaka_1_1meta_1_1CudaVectorArrayWrapper_3_01T_00_01N_01_4_01_4.html b/structstd_1_1tuple__size_3_01alpaka_1_1meta_1_1CudaVectorArrayWrapper_3_01T_00_01N_01_4_01_4.html index 7e0ed2379cd1..a2b809702f61 100644 --- a/structstd_1_1tuple__size_3_01alpaka_1_1meta_1_1CudaVectorArrayWrapper_3_01T_00_01N_01_4_01_4.html +++ b/structstd_1_1tuple__size_3_01alpaka_1_1meta_1_1CudaVectorArrayWrapper_3_01T_00_01N_01_4_01_4.html @@ -116,7 +116,7 @@ diff --git a/sycl_2Copy_8hpp.html b/sycl_2Copy_8hpp.html index fb932780c14f..6a2e41929f37 100644 --- a/sycl_2Copy_8hpp.html +++ b/sycl_2Copy_8hpp.html @@ -109,7 +109,7 @@ diff --git a/sycl_2Copy_8hpp_source.html b/sycl_2Copy_8hpp_source.html index 4fabeb53d105..0a7c2ea95dd6 100644 --- a/sycl_2Copy_8hpp_source.html +++ b/sycl_2Copy_8hpp_source.html @@ -347,7 +347,7 @@
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_HOST_ACC auto ndLoopIncIdx(TExtentVec const &extent, TFnObj const &f) -> void
                                                                                                                                                        Loops over an n-dimensional iteration index variable calling f(idx, args...) for each iteration....
                                                                                                                                                        Definition: NdLoop.hpp:81
                                                                                                                                                        The accelerator traits.
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                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                        Definition: Traits.hpp:102
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                        Definition: Traits.hpp:114
                                                                                                                                                        ALPAKA_FN_HOST auto createTaskMemcpy(TViewDstFwd &&viewDst, TViewSrc const &viewSrc, TExtent const &extent)
                                                                                                                                                        Creates a memory copy task.
                                                                                                                                                        Definition: Traits.hpp:256
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_HOST_ACC auto getExtents(T const &object) -> Vec< Dim< T >, Idx< T >>
                                                                                                                                                        Definition: Traits.hpp:59
                                                                                                                                                        ALPAKA_FN_HOST auto getPitchesInBytes(TView const &view) -> Vec< Dim< TView >, Idx< TView >>
                                                                                                                                                        Definition: Traits.hpp:199
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                                                                                                                                                        diff --git a/tinymt32_8h_source.html b/tinymt32_8h_source.html index b5104ddfc12e..353527819d10 100644 --- a/tinymt32_8h_source.html +++ b/tinymt32_8h_source.html @@ -554,7 +554,7 @@ diff --git a/todo.html b/todo.html index 6fdbaa6fdaaa..9a06040a7a46 100644 --- a/todo.html +++ b/todo.html @@ -97,7 +97,7 @@ diff --git a/traits_2Traits_8hpp.html b/traits_2Traits_8hpp.html index 9c031c576229..54c4adf5ff07 100644 --- a/traits_2Traits_8hpp.html +++ b/traits_2Traits_8hpp.html @@ -131,7 +131,7 @@ diff --git a/traits_2Traits_8hpp_source.html b/traits_2Traits_8hpp_source.html index d14425f48a27..52074812683d 100644 --- a/traits_2Traits_8hpp_source.html +++ b/traits_2Traits_8hpp_source.html @@ -137,7 +137,7 @@ diff --git a/uniformCudaHip_2Copy_8hpp.html b/uniformCudaHip_2Copy_8hpp.html index 6cb313fd1af2..16adcfff656a 100644 --- a/uniformCudaHip_2Copy_8hpp.html +++ b/uniformCudaHip_2Copy_8hpp.html @@ -173,7 +173,7 @@ diff --git a/uniformCudaHip_2Copy_8hpp_source.html b/uniformCudaHip_2Copy_8hpp_source.html index e6142928a956..aefe9eb6cacc 100644 --- a/uniformCudaHip_2Copy_8hpp_source.html +++ b/uniformCudaHip_2Copy_8hpp_source.html @@ -792,7 +792,7 @@ diff --git a/vec_2Traits_8hpp.html b/vec_2Traits_8hpp.html index 7d4fa1557831..d37ed93562a3 100644 --- a/vec_2Traits_8hpp.html +++ b/vec_2Traits_8hpp.html @@ -135,7 +135,7 @@ diff --git a/vec_2Traits_8hpp_source.html b/vec_2Traits_8hpp_source.html index 90864509b288..aeecf1698ac1 100644 --- a/vec_2Traits_8hpp_source.html +++ b/vec_2Traits_8hpp_source.html @@ -214,7 +214,7 @@ diff --git a/version_8hpp.html b/version_8hpp.html index 60105a067c4b..a05fcda3803a 100644 --- a/version_8hpp.html +++ b/version_8hpp.html @@ -178,7 +178,7 @@

                                                                                                                                                          - +
                                                                                                                                                        diff --git a/version_8hpp_source.html b/version_8hpp_source.html index b06d2a679bc6..9ac66d4f9e72 100644 --- a/version_8hpp_source.html +++ b/version_8hpp_source.html @@ -107,7 +107,7 @@ diff --git a/wait_2Traits_8hpp.html b/wait_2Traits_8hpp.html index c617b66e68b7..a9b78af893cf 100644 --- a/wait_2Traits_8hpp.html +++ b/wait_2Traits_8hpp.html @@ -127,7 +127,7 @@ diff --git a/wait_2Traits_8hpp_source.html b/wait_2Traits_8hpp_source.html index d08520cdafb0..9ede7df9b112 100644 --- a/wait_2Traits_8hpp_source.html +++ b/wait_2Traits_8hpp_source.html @@ -152,7 +152,7 @@ diff --git a/warp_2Traits_8hpp.html b/warp_2Traits_8hpp.html index c71dbb38a7a6..cba324c4e199 100644 --- a/warp_2Traits_8hpp.html +++ b/warp_2Traits_8hpp.html @@ -136,14 +136,22 @@ ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::getSize (TWarp const &warp) -> std::int32_t  Returns warp size. More...
                                                                                                                                                          -template<typename TWarp > -ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl (TWarp const &warp, float value, std::int32_t srcLane, std::int32_t width=0) - shfl for float vals More...
                                                                                                                                                        -  -template<typename TWarp > -ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl (TWarp const &warp, std::int32_t value, std::int32_t srcLane, std::int32_t width=0) - Exchange data between threads within a warp. More...
                                                                                                                                                        -  +template<typename TWarp , typename T > +ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl (TWarp const &warp, T value, std::int32_t srcLane, std::int32_t width=0) + Exchange data between threads within a warp. More...
                                                                                                                                                        +  +template<typename TWarp , typename T > +ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl_down (TWarp const &warp, T value, std::uint32_t offset, std::int32_t width=0) + Exchange data between threads within a warp. It copies from a lane with higher ID relative to caller. The lane ID is calculated by adding delta to the caller’s lane ID. More...
                                                                                                                                                        +  +template<typename TWarp , typename T > +ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl_up (TWarp const &warp, T value, std::uint32_t offset, std::int32_t width=0) + Exchange data between threads within a warp. It copies from a lane with lower ID relative to caller. The lane ID is calculated by subtracting delta from the caller’s lane ID. More...
                                                                                                                                                        +  +template<typename TWarp , typename T > +ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto alpaka::warp::shfl_xor (TWarp const &warp, T value, std::int32_t mask, std::int32_t width=0) + Exchange data between threads within a warp. It copies from a lane based on bitwise XOR of own lane ID. The lane ID is calculated by performing a bitwise XOR of the caller’s lane ID with mask. More...
                                                                                                                                                        @@ -151,7 +159,7 @@ diff --git a/warp_2Traits_8hpp.js b/warp_2Traits_8hpp.js index 1bc9d953bd75..3ebb467c02c7 100644 --- a/warp_2Traits_8hpp.js +++ b/warp_2Traits_8hpp.js @@ -6,6 +6,8 @@ var warp_2Traits_8hpp = [ "any", "warp_2Traits_8hpp.html#a5388b6f43f46df541ea8a2eb72ccee70", null ], [ "ballot", "warp_2Traits_8hpp.html#a0d88e1c2faaf38a4e14ea0d763402d32", null ], [ "getSize", "warp_2Traits_8hpp.html#aa9fddbe593ae1d26989838411072a2ad", null ], - [ "shfl", "warp_2Traits_8hpp.html#adce3dddd0f7a2845ad1083972499ff07", null ], - [ "shfl", "warp_2Traits_8hpp.html#a8954fa269b9d459ea0f404e2e0cc41e9", null ] + [ "shfl", "warp_2Traits_8hpp.html#aec22b5aa12447c50d86ddeeb390d953e", null ], + [ "shfl_down", "warp_2Traits_8hpp.html#a8a2ee014c34e033cda544fc9ae641475", null ], + [ "shfl_up", "warp_2Traits_8hpp.html#a19ebfd2d4611e1339e5660018a6dae46", null ], + [ "shfl_xor", "warp_2Traits_8hpp.html#abd6ed10d3003f831e9f4df741d6704e2", null ] ]; \ No newline at end of file diff --git a/warp_2Traits_8hpp_source.html b/warp_2Traits_8hpp_source.html index 97ccb3643179..7fe96449a4e0 100644 --- a/warp_2Traits_8hpp_source.html +++ b/warp_2Traits_8hpp_source.html @@ -87,7 +87,7 @@
                                                                                                                                                        Traits.hpp
                                                                                                                                                        -Go to the documentation of this file.
                                                                                                                                                        1 /* Copyright 2022 Sergei Bastrakov, David M. Rogers, Bernhard Manfred Gruber
                                                                                                                                                        +Go to the documentation of this file.
                                                                                                                                                        1 /* Copyright 2022 Sergei Bastrakov, David M. Rogers, Bernhard Manfred Gruber, Aurora Perego
                                                                                                                                                        2  * SPDX-License-Identifier: MPL-2.0
                                                                                                                                                        3  */
                                                                                                                                                        4 
                                                                                                                                                        @@ -128,184 +128,307 @@
                                                                                                                                                        39  template<typename TWarp, typename TSfinae = void>
                                                                                                                                                        40  struct Shfl;
                                                                                                                                                        41 
                                                                                                                                                        -
                                                                                                                                                        42  //! The active mask trait.
                                                                                                                                                        +
                                                                                                                                                        42  //! The shfl up warp swizzling trait.
                                                                                                                                                        43  template<typename TWarp, typename TSfinae = void>
                                                                                                                                                        -
                                                                                                                                                        44  struct Activemask;
                                                                                                                                                        -
                                                                                                                                                        45  } // namespace trait
                                                                                                                                                        -
                                                                                                                                                        46 
                                                                                                                                                        -
                                                                                                                                                        47  //! Returns warp size.
                                                                                                                                                        -
                                                                                                                                                        48  //!
                                                                                                                                                        -
                                                                                                                                                        49  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        -
                                                                                                                                                        50  //! \param warp The warp implementation.
                                                                                                                                                        - -
                                                                                                                                                        52  template<typename TWarp>
                                                                                                                                                        -
                                                                                                                                                        53  ALPAKA_FN_ACC auto getSize(TWarp const& warp) -> std::int32_t
                                                                                                                                                        -
                                                                                                                                                        54  {
                                                                                                                                                        - - -
                                                                                                                                                        57  }
                                                                                                                                                        +
                                                                                                                                                        44  struct ShflUp;
                                                                                                                                                        +
                                                                                                                                                        45 
                                                                                                                                                        +
                                                                                                                                                        46  //! The shfl down warp swizzling trait.
                                                                                                                                                        +
                                                                                                                                                        47  template<typename TWarp, typename TSfinae = void>
                                                                                                                                                        +
                                                                                                                                                        48  struct ShflDown;
                                                                                                                                                        +
                                                                                                                                                        49 
                                                                                                                                                        +
                                                                                                                                                        50  //! The shfl xor warp swizzling trait.
                                                                                                                                                        +
                                                                                                                                                        51  template<typename TWarp, typename TSfinae = void>
                                                                                                                                                        +
                                                                                                                                                        52  struct ShflXor;
                                                                                                                                                        +
                                                                                                                                                        53 
                                                                                                                                                        +
                                                                                                                                                        54  //! The active mask trait.
                                                                                                                                                        +
                                                                                                                                                        55  template<typename TWarp, typename TSfinae = void>
                                                                                                                                                        +
                                                                                                                                                        56  struct Activemask;
                                                                                                                                                        +
                                                                                                                                                        57  } // namespace trait
                                                                                                                                                        58 
                                                                                                                                                        -
                                                                                                                                                        59  //! Returns a 32- or 64-bit unsigned integer (depending on the
                                                                                                                                                        -
                                                                                                                                                        60  //! accelerator) whose Nth bit is set if and only if the Nth thread
                                                                                                                                                        -
                                                                                                                                                        61  //! of the warp is active.
                                                                                                                                                        -
                                                                                                                                                        62  //!
                                                                                                                                                        -
                                                                                                                                                        63  //! Note: decltype for return type is required there, otherwise
                                                                                                                                                        -
                                                                                                                                                        64  //! compilcation with a CPU and a GPU accelerator enabled fails as it
                                                                                                                                                        -
                                                                                                                                                        65  //! tries to call device function from a host-device one. The reason
                                                                                                                                                        -
                                                                                                                                                        66  //! is unclear, but likely related to deducing the return type.
                                                                                                                                                        -
                                                                                                                                                        67  //!
                                                                                                                                                        -
                                                                                                                                                        68  //! Note:
                                                                                                                                                        -
                                                                                                                                                        69  //! * The programmer must ensure that all threads calling this function are executing
                                                                                                                                                        -
                                                                                                                                                        70  //! the same line of code. In particular it is not portable to write
                                                                                                                                                        -
                                                                                                                                                        71  //! if(a) {activemask} else {activemask}.
                                                                                                                                                        -
                                                                                                                                                        72  //!
                                                                                                                                                        -
                                                                                                                                                        73  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        -
                                                                                                                                                        74  //! \param warp The warp implementation.
                                                                                                                                                        -
                                                                                                                                                        75  //! \return 32-bit or 64-bit unsigned type depending on the accelerator.
                                                                                                                                                        - -
                                                                                                                                                        77  template<typename TWarp>
                                                                                                                                                        -
                                                                                                                                                        78  ALPAKA_FN_ACC auto activemask(TWarp const& warp)
                                                                                                                                                        - -
                                                                                                                                                        80  {
                                                                                                                                                        - - -
                                                                                                                                                        83  }
                                                                                                                                                        -
                                                                                                                                                        84 
                                                                                                                                                        -
                                                                                                                                                        85  //! Evaluates predicate for all active threads of the warp and returns
                                                                                                                                                        -
                                                                                                                                                        86  //! non-zero if and only if predicate evaluates to non-zero for all of them.
                                                                                                                                                        -
                                                                                                                                                        87  //!
                                                                                                                                                        -
                                                                                                                                                        88  //! It follows the logic of __all(predicate) in CUDA before version 9.0 and HIP,
                                                                                                                                                        -
                                                                                                                                                        89  //! the operation is applied for all active threads.
                                                                                                                                                        -
                                                                                                                                                        90  //! The modern CUDA counterpart would be __all_sync(__activemask(), predicate).
                                                                                                                                                        -
                                                                                                                                                        91  //!
                                                                                                                                                        -
                                                                                                                                                        92  //! Note:
                                                                                                                                                        -
                                                                                                                                                        93  //! * The programmer must ensure that all threads calling this function are executing
                                                                                                                                                        -
                                                                                                                                                        94  //! the same line of code. In particular it is not portable to write
                                                                                                                                                        -
                                                                                                                                                        95  //! if(a) {all} else {all}.
                                                                                                                                                        -
                                                                                                                                                        96  //!
                                                                                                                                                        -
                                                                                                                                                        97  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        -
                                                                                                                                                        98  //! \param warp The warp implementation.
                                                                                                                                                        -
                                                                                                                                                        99  //! \param predicate The predicate value for current thread.
                                                                                                                                                        - -
                                                                                                                                                        101  template<typename TWarp>
                                                                                                                                                        -
                                                                                                                                                        102  ALPAKA_FN_ACC auto all(TWarp const& warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        -
                                                                                                                                                        103  {
                                                                                                                                                        - -
                                                                                                                                                        105  return trait::All<ImplementationBase>::all(warp, predicate);
                                                                                                                                                        -
                                                                                                                                                        106  }
                                                                                                                                                        -
                                                                                                                                                        107 
                                                                                                                                                        -
                                                                                                                                                        108  //! Evaluates predicate for all active threads of the warp and returns
                                                                                                                                                        -
                                                                                                                                                        109  //! non-zero if and only if predicate evaluates to non-zero for any of them.
                                                                                                                                                        -
                                                                                                                                                        110  //!
                                                                                                                                                        -
                                                                                                                                                        111  //! It follows the logic of __any(predicate) in CUDA before version 9.0 and HIP,
                                                                                                                                                        -
                                                                                                                                                        112  //! the operation is applied for all active threads.
                                                                                                                                                        -
                                                                                                                                                        113  //! The modern CUDA counterpart would be __any_sync(__activemask(), predicate).
                                                                                                                                                        -
                                                                                                                                                        114  //!
                                                                                                                                                        -
                                                                                                                                                        115  //! Note:
                                                                                                                                                        -
                                                                                                                                                        116  //! * The programmer must ensure that all threads calling this function are executing
                                                                                                                                                        -
                                                                                                                                                        117  //! the same line of code. In particular it is not portable to write
                                                                                                                                                        -
                                                                                                                                                        118  //! if(a) {any} else {any}.
                                                                                                                                                        -
                                                                                                                                                        119  //!
                                                                                                                                                        -
                                                                                                                                                        120  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        -
                                                                                                                                                        121  //! \param warp The warp implementation.
                                                                                                                                                        -
                                                                                                                                                        122  //! \param predicate The predicate value for current thread.
                                                                                                                                                        - -
                                                                                                                                                        124  template<typename TWarp>
                                                                                                                                                        -
                                                                                                                                                        125  ALPAKA_FN_ACC auto any(TWarp const& warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        -
                                                                                                                                                        126  {
                                                                                                                                                        - -
                                                                                                                                                        128  return trait::Any<ImplementationBase>::any(warp, predicate);
                                                                                                                                                        -
                                                                                                                                                        129  }
                                                                                                                                                        -
                                                                                                                                                        130 
                                                                                                                                                        -
                                                                                                                                                        131  //! Evaluates predicate for all non-exited threads in a warp and returns
                                                                                                                                                        -
                                                                                                                                                        132  //! a 32- or 64-bit unsigned integer (depending on the accelerator)
                                                                                                                                                        -
                                                                                                                                                        133  //! whose Nth bit is set if and only if predicate evaluates to non-zero
                                                                                                                                                        -
                                                                                                                                                        134  //! for the Nth thread of the warp and the Nth thread is active.
                                                                                                                                                        -
                                                                                                                                                        135  //!
                                                                                                                                                        -
                                                                                                                                                        136  //! It follows the logic of __ballot(predicate) in CUDA before version 9.0 and HIP,
                                                                                                                                                        -
                                                                                                                                                        137  //! the operation is applied for all active threads.
                                                                                                                                                        -
                                                                                                                                                        138  //! The modern CUDA counterpart would be __ballot_sync(__activemask(), predicate).
                                                                                                                                                        -
                                                                                                                                                        139  //! Return type is 64-bit to fit all platforms.
                                                                                                                                                        -
                                                                                                                                                        140  //!
                                                                                                                                                        -
                                                                                                                                                        141  //! Note:
                                                                                                                                                        -
                                                                                                                                                        142  //! * The programmer must ensure that all threads calling this function are executing
                                                                                                                                                        -
                                                                                                                                                        143  //! the same line of code. In particular it is not portable to write
                                                                                                                                                        -
                                                                                                                                                        144  //! if(a) {ballot} else {ballot}.
                                                                                                                                                        -
                                                                                                                                                        145  //!
                                                                                                                                                        -
                                                                                                                                                        146  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        -
                                                                                                                                                        147  //! \param warp The warp implementation.
                                                                                                                                                        -
                                                                                                                                                        148  //! \param predicate The predicate value for current thread.
                                                                                                                                                        -
                                                                                                                                                        149  //! \return 32-bit or 64-bit unsigned type depending on the accelerator.
                                                                                                                                                        - -
                                                                                                                                                        151  template<typename TWarp>
                                                                                                                                                        -
                                                                                                                                                        152  ALPAKA_FN_ACC auto ballot(TWarp const& warp, std::int32_t predicate)
                                                                                                                                                        -
                                                                                                                                                        153  {
                                                                                                                                                        - -
                                                                                                                                                        155  return trait::Ballot<ImplementationBase>::ballot(warp, predicate);
                                                                                                                                                        -
                                                                                                                                                        156  }
                                                                                                                                                        -
                                                                                                                                                        157 
                                                                                                                                                        -
                                                                                                                                                        158  //! Exchange data between threads within a warp.
                                                                                                                                                        -
                                                                                                                                                        159  //!
                                                                                                                                                        -
                                                                                                                                                        160  //! Effectively executes:
                                                                                                                                                        -
                                                                                                                                                        161  //!
                                                                                                                                                        -
                                                                                                                                                        162  //! __shared__ int32_t values[warpsize];
                                                                                                                                                        -
                                                                                                                                                        163  //! values[threadIdx.x] = value;
                                                                                                                                                        -
                                                                                                                                                        164  //! __syncthreads();
                                                                                                                                                        -
                                                                                                                                                        165  //! return values[(srcLane + width*floor(threadIdx.x/width))%width];
                                                                                                                                                        -
                                                                                                                                                        166  //!
                                                                                                                                                        -
                                                                                                                                                        167  //! However, it does not use shared memory.
                                                                                                                                                        -
                                                                                                                                                        168  //!
                                                                                                                                                        -
                                                                                                                                                        169  //! Notes:
                                                                                                                                                        -
                                                                                                                                                        170  //! * The programmer must ensure that all threads calling this
                                                                                                                                                        -
                                                                                                                                                        171  //! function (and the srcLane) are executing the same line of code.
                                                                                                                                                        -
                                                                                                                                                        172  //! In particular it is not portable to write if(a) {shfl} else {shfl}.
                                                                                                                                                        +
                                                                                                                                                        59  //! Returns warp size.
                                                                                                                                                        +
                                                                                                                                                        60  //!
                                                                                                                                                        +
                                                                                                                                                        61  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        +
                                                                                                                                                        62  //! \param warp The warp implementation.
                                                                                                                                                        + +
                                                                                                                                                        64  template<typename TWarp>
                                                                                                                                                        +
                                                                                                                                                        65  ALPAKA_FN_ACC auto getSize(TWarp const& warp) -> std::int32_t
                                                                                                                                                        +
                                                                                                                                                        66  {
                                                                                                                                                        + + +
                                                                                                                                                        69  }
                                                                                                                                                        +
                                                                                                                                                        70 
                                                                                                                                                        +
                                                                                                                                                        71  //! Returns a 32- or 64-bit unsigned integer (depending on the
                                                                                                                                                        +
                                                                                                                                                        72  //! accelerator) whose Nth bit is set if and only if the Nth thread
                                                                                                                                                        +
                                                                                                                                                        73  //! of the warp is active.
                                                                                                                                                        +
                                                                                                                                                        74  //!
                                                                                                                                                        +
                                                                                                                                                        75  //! Note: decltype for return type is required there, otherwise
                                                                                                                                                        +
                                                                                                                                                        76  //! compilcation with a CPU and a GPU accelerator enabled fails as it
                                                                                                                                                        +
                                                                                                                                                        77  //! tries to call device function from a host-device one. The reason
                                                                                                                                                        +
                                                                                                                                                        78  //! is unclear, but likely related to deducing the return type.
                                                                                                                                                        +
                                                                                                                                                        79  //!
                                                                                                                                                        +
                                                                                                                                                        80  //! Note:
                                                                                                                                                        +
                                                                                                                                                        81  //! * The programmer must ensure that all threads calling this function are executing
                                                                                                                                                        +
                                                                                                                                                        82  //! the same line of code. In particular it is not portable to write
                                                                                                                                                        +
                                                                                                                                                        83  //! if(a) {activemask} else {activemask}.
                                                                                                                                                        +
                                                                                                                                                        84  //!
                                                                                                                                                        +
                                                                                                                                                        85  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        +
                                                                                                                                                        86  //! \param warp The warp implementation.
                                                                                                                                                        +
                                                                                                                                                        87  //! \return 32-bit or 64-bit unsigned type depending on the accelerator.
                                                                                                                                                        + +
                                                                                                                                                        89  template<typename TWarp>
                                                                                                                                                        +
                                                                                                                                                        90  ALPAKA_FN_ACC auto activemask(TWarp const& warp)
                                                                                                                                                        + +
                                                                                                                                                        92  {
                                                                                                                                                        + + +
                                                                                                                                                        95  }
                                                                                                                                                        +
                                                                                                                                                        96 
                                                                                                                                                        +
                                                                                                                                                        97  //! Evaluates predicate for all active threads of the warp and returns
                                                                                                                                                        +
                                                                                                                                                        98  //! non-zero if and only if predicate evaluates to non-zero for all of them.
                                                                                                                                                        +
                                                                                                                                                        99  //!
                                                                                                                                                        +
                                                                                                                                                        100  //! It follows the logic of __all(predicate) in CUDA before version 9.0 and HIP,
                                                                                                                                                        +
                                                                                                                                                        101  //! the operation is applied for all active threads.
                                                                                                                                                        +
                                                                                                                                                        102  //! The modern CUDA counterpart would be __all_sync(__activemask(), predicate).
                                                                                                                                                        +
                                                                                                                                                        103  //!
                                                                                                                                                        +
                                                                                                                                                        104  //! Note:
                                                                                                                                                        +
                                                                                                                                                        105  //! * The programmer must ensure that all threads calling this function are executing
                                                                                                                                                        +
                                                                                                                                                        106  //! the same line of code. In particular it is not portable to write
                                                                                                                                                        +
                                                                                                                                                        107  //! if(a) {all} else {all}.
                                                                                                                                                        +
                                                                                                                                                        108  //!
                                                                                                                                                        +
                                                                                                                                                        109  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        +
                                                                                                                                                        110  //! \param warp The warp implementation.
                                                                                                                                                        +
                                                                                                                                                        111  //! \param predicate The predicate value for current thread.
                                                                                                                                                        + +
                                                                                                                                                        113  template<typename TWarp>
                                                                                                                                                        +
                                                                                                                                                        114  ALPAKA_FN_ACC auto all(TWarp const& warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        +
                                                                                                                                                        115  {
                                                                                                                                                        + +
                                                                                                                                                        117  return trait::All<ImplementationBase>::all(warp, predicate);
                                                                                                                                                        +
                                                                                                                                                        118  }
                                                                                                                                                        +
                                                                                                                                                        119 
                                                                                                                                                        +
                                                                                                                                                        120  //! Evaluates predicate for all active threads of the warp and returns
                                                                                                                                                        +
                                                                                                                                                        121  //! non-zero if and only if predicate evaluates to non-zero for any of them.
                                                                                                                                                        +
                                                                                                                                                        122  //!
                                                                                                                                                        +
                                                                                                                                                        123  //! It follows the logic of __any(predicate) in CUDA before version 9.0 and HIP,
                                                                                                                                                        +
                                                                                                                                                        124  //! the operation is applied for all active threads.
                                                                                                                                                        +
                                                                                                                                                        125  //! The modern CUDA counterpart would be __any_sync(__activemask(), predicate).
                                                                                                                                                        +
                                                                                                                                                        126  //!
                                                                                                                                                        +
                                                                                                                                                        127  //! Note:
                                                                                                                                                        +
                                                                                                                                                        128  //! * The programmer must ensure that all threads calling this function are executing
                                                                                                                                                        +
                                                                                                                                                        129  //! the same line of code. In particular it is not portable to write
                                                                                                                                                        +
                                                                                                                                                        130  //! if(a) {any} else {any}.
                                                                                                                                                        +
                                                                                                                                                        131  //!
                                                                                                                                                        +
                                                                                                                                                        132  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        +
                                                                                                                                                        133  //! \param warp The warp implementation.
                                                                                                                                                        +
                                                                                                                                                        134  //! \param predicate The predicate value for current thread.
                                                                                                                                                        + +
                                                                                                                                                        136  template<typename TWarp>
                                                                                                                                                        +
                                                                                                                                                        137  ALPAKA_FN_ACC auto any(TWarp const& warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        +
                                                                                                                                                        138  {
                                                                                                                                                        + +
                                                                                                                                                        140  return trait::Any<ImplementationBase>::any(warp, predicate);
                                                                                                                                                        +
                                                                                                                                                        141  }
                                                                                                                                                        +
                                                                                                                                                        142 
                                                                                                                                                        +
                                                                                                                                                        143  //! Evaluates predicate for all non-exited threads in a warp and returns
                                                                                                                                                        +
                                                                                                                                                        144  //! a 32- or 64-bit unsigned integer (depending on the accelerator)
                                                                                                                                                        +
                                                                                                                                                        145  //! whose Nth bit is set if and only if predicate evaluates to non-zero
                                                                                                                                                        +
                                                                                                                                                        146  //! for the Nth thread of the warp and the Nth thread is active.
                                                                                                                                                        +
                                                                                                                                                        147  //!
                                                                                                                                                        +
                                                                                                                                                        148  //! It follows the logic of __ballot(predicate) in CUDA before version 9.0 and HIP,
                                                                                                                                                        +
                                                                                                                                                        149  //! the operation is applied for all active threads.
                                                                                                                                                        +
                                                                                                                                                        150  //! The modern CUDA counterpart would be __ballot_sync(__activemask(), predicate).
                                                                                                                                                        +
                                                                                                                                                        151  //! Return type is 64-bit to fit all platforms.
                                                                                                                                                        +
                                                                                                                                                        152  //!
                                                                                                                                                        +
                                                                                                                                                        153  //! Note:
                                                                                                                                                        +
                                                                                                                                                        154  //! * The programmer must ensure that all threads calling this function are executing
                                                                                                                                                        +
                                                                                                                                                        155  //! the same line of code. In particular it is not portable to write
                                                                                                                                                        +
                                                                                                                                                        156  //! if(a) {ballot} else {ballot}.
                                                                                                                                                        +
                                                                                                                                                        157  //!
                                                                                                                                                        +
                                                                                                                                                        158  //! \tparam TWarp The warp implementation type.
                                                                                                                                                        +
                                                                                                                                                        159  //! \param warp The warp implementation.
                                                                                                                                                        +
                                                                                                                                                        160  //! \param predicate The predicate value for current thread.
                                                                                                                                                        +
                                                                                                                                                        161  //! \return 32-bit or 64-bit unsigned type depending on the accelerator.
                                                                                                                                                        + +
                                                                                                                                                        163  template<typename TWarp>
                                                                                                                                                        +
                                                                                                                                                        164  ALPAKA_FN_ACC auto ballot(TWarp const& warp, std::int32_t predicate)
                                                                                                                                                        +
                                                                                                                                                        165  {
                                                                                                                                                        + +
                                                                                                                                                        167  return trait::Ballot<ImplementationBase>::ballot(warp, predicate);
                                                                                                                                                        +
                                                                                                                                                        168  }
                                                                                                                                                        +
                                                                                                                                                        169 
                                                                                                                                                        +
                                                                                                                                                        170  //! Exchange data between threads within a warp.
                                                                                                                                                        +
                                                                                                                                                        171  //!
                                                                                                                                                        +
                                                                                                                                                        172  //! Effectively executes:
                                                                                                                                                        173  //!
                                                                                                                                                        -
                                                                                                                                                        174  //! * Commonly used with width = warpsize (the default), (returns values[srcLane])
                                                                                                                                                        -
                                                                                                                                                        175  //!
                                                                                                                                                        -
                                                                                                                                                        176  //! * Width must be a power of 2.
                                                                                                                                                        -
                                                                                                                                                        177  //!
                                                                                                                                                        -
                                                                                                                                                        178  //! \tparam TWarp warp implementation type
                                                                                                                                                        -
                                                                                                                                                        179  //! \param warp warp implementation
                                                                                                                                                        -
                                                                                                                                                        180  //! \param value value to broadcast (only meaningful from threadIdx == srcLane)
                                                                                                                                                        -
                                                                                                                                                        181  //! \param srcLane source lane sending value
                                                                                                                                                        -
                                                                                                                                                        182  //! \param width number of threads receiving a single value
                                                                                                                                                        -
                                                                                                                                                        183  //! \return val from the thread index srcLane.
                                                                                                                                                        - -
                                                                                                                                                        185  template<typename TWarp>
                                                                                                                                                        -
                                                                                                                                                        186  ALPAKA_FN_ACC auto shfl(TWarp const& warp, std::int32_t value, std::int32_t srcLane, std::int32_t width = 0)
                                                                                                                                                        -
                                                                                                                                                        187  {
                                                                                                                                                        - -
                                                                                                                                                        189  return trait::Shfl<ImplementationBase>::shfl(warp, value, srcLane, width ? width : getSize(warp));
                                                                                                                                                        -
                                                                                                                                                        190  }
                                                                                                                                                        -
                                                                                                                                                        191 
                                                                                                                                                        -
                                                                                                                                                        192  //! shfl for float vals
                                                                                                                                                        - -
                                                                                                                                                        194  template<typename TWarp>
                                                                                                                                                        -
                                                                                                                                                        195  ALPAKA_FN_ACC auto shfl(TWarp const& warp, float value, std::int32_t srcLane, std::int32_t width = 0)
                                                                                                                                                        -
                                                                                                                                                        196  {
                                                                                                                                                        - -
                                                                                                                                                        198  return trait::Shfl<ImplementationBase>::shfl(warp, value, srcLane, width ? width : getSize(warp));
                                                                                                                                                        -
                                                                                                                                                        199  }
                                                                                                                                                        -
                                                                                                                                                        200 } // namespace alpaka::warp
                                                                                                                                                        +
                                                                                                                                                        174  //! __shared__ int32_t values[warpsize];
                                                                                                                                                        +
                                                                                                                                                        175  //! values[threadIdx.x] = value;
                                                                                                                                                        +
                                                                                                                                                        176  //! __syncthreads();
                                                                                                                                                        +
                                                                                                                                                        177  //! return values[width*(threadIdx.x/width) + srcLane%width];
                                                                                                                                                        +
                                                                                                                                                        178  //!
                                                                                                                                                        +
                                                                                                                                                        179  //! However, it does not use shared memory.
                                                                                                                                                        +
                                                                                                                                                        180  //!
                                                                                                                                                        +
                                                                                                                                                        181  //! Notes:
                                                                                                                                                        +
                                                                                                                                                        182  //! * The programmer must ensure that all threads calling this
                                                                                                                                                        +
                                                                                                                                                        183  //! function (and the srcLane) are executing the same line of code.
                                                                                                                                                        +
                                                                                                                                                        184  //! In particular it is not portable to write if(a) {shfl} else {shfl}.
                                                                                                                                                        +
                                                                                                                                                        185  //!
                                                                                                                                                        +
                                                                                                                                                        186  //! * Commonly used with width = warpsize (the default), (returns values[srcLane])
                                                                                                                                                        +
                                                                                                                                                        187  //!
                                                                                                                                                        +
                                                                                                                                                        188  //! * Width must be a power of 2.
                                                                                                                                                        +
                                                                                                                                                        189  //!
                                                                                                                                                        +
                                                                                                                                                        190  //! \tparam TWarp warp implementation type
                                                                                                                                                        +
                                                                                                                                                        191  //! \param warp warp implementation
                                                                                                                                                        +
                                                                                                                                                        192  //! \param value value to broadcast (only meaningful from threadIdx == srcLane)
                                                                                                                                                        +
                                                                                                                                                        193  //! \param srcLane source lane sending value
                                                                                                                                                        +
                                                                                                                                                        194  //! \param width number of threads receiving a single value
                                                                                                                                                        +
                                                                                                                                                        195  //! \return val from the thread index srcLane.
                                                                                                                                                        + +
                                                                                                                                                        197  template<typename TWarp, typename T>
                                                                                                                                                        +
                                                                                                                                                        198  ALPAKA_FN_ACC auto shfl(TWarp const& warp, T value, std::int32_t srcLane, std::int32_t width = 0)
                                                                                                                                                        +
                                                                                                                                                        199  {
                                                                                                                                                        + +
                                                                                                                                                        201  return trait::Shfl<ImplementationBase>::shfl(warp, value, srcLane, width ? width : getSize(warp));
                                                                                                                                                        +
                                                                                                                                                        202  }
                                                                                                                                                        +
                                                                                                                                                        203 
                                                                                                                                                        +
                                                                                                                                                        204  //! Exchange data between threads within a warp.
                                                                                                                                                        +
                                                                                                                                                        205  //! It copies from a lane with lower ID relative to caller.
                                                                                                                                                        +
                                                                                                                                                        206  //! The lane ID is calculated by subtracting delta from the caller’s lane ID.
                                                                                                                                                        +
                                                                                                                                                        207  //!
                                                                                                                                                        +
                                                                                                                                                        208  //! Effectively executes:
                                                                                                                                                        +
                                                                                                                                                        209  //!
                                                                                                                                                        +
                                                                                                                                                        210  //! __shared__ int32_t values[warpsize];
                                                                                                                                                        +
                                                                                                                                                        211  //! values[threadIdx.x] = value;
                                                                                                                                                        +
                                                                                                                                                        212  //! __syncthreads();
                                                                                                                                                        +
                                                                                                                                                        213  //! return (threadIdx.x % width >= delta) ? values[threadIdx.x - delta] : values[threadIdx.x];
                                                                                                                                                        +
                                                                                                                                                        214  //!
                                                                                                                                                        +
                                                                                                                                                        215  //! However, it does not use shared memory.
                                                                                                                                                        +
                                                                                                                                                        216  //!
                                                                                                                                                        +
                                                                                                                                                        217  //! Notes:
                                                                                                                                                        +
                                                                                                                                                        218  //! * The programmer must ensure that all threads calling this
                                                                                                                                                        +
                                                                                                                                                        219  //! function (and the srcLane) are executing the same line of code.
                                                                                                                                                        +
                                                                                                                                                        220  //! In particular it is not portable to write if(a) {shfl} else {shfl}.
                                                                                                                                                        +
                                                                                                                                                        221  //!
                                                                                                                                                        +
                                                                                                                                                        222  //! * Commonly used with width = warpsize (the default), (returns values[threadIdx.x - delta] if threadIdx.x >=
                                                                                                                                                        +
                                                                                                                                                        223  //! delta)
                                                                                                                                                        +
                                                                                                                                                        224  //!
                                                                                                                                                        +
                                                                                                                                                        225  //! * Width must be a power of 2.
                                                                                                                                                        +
                                                                                                                                                        226  //!
                                                                                                                                                        +
                                                                                                                                                        227  //! \tparam TWarp warp implementation type
                                                                                                                                                        +
                                                                                                                                                        228  //! \tparam T value type
                                                                                                                                                        +
                                                                                                                                                        229  //! \param warp warp implementation
                                                                                                                                                        +
                                                                                                                                                        230  //! \param value value to broadcast
                                                                                                                                                        +
                                                                                                                                                        231  //! \param offset corresponds to the delta used to compute the lane ID
                                                                                                                                                        +
                                                                                                                                                        232  //! \param width size of the group participating in the shuffle operation
                                                                                                                                                        +
                                                                                                                                                        233  //! \return val from the thread index lane ID.
                                                                                                                                                        + +
                                                                                                                                                        235  template<typename TWarp, typename T>
                                                                                                                                                        +
                                                                                                                                                        236  ALPAKA_FN_ACC auto shfl_up(TWarp const& warp, T value, std::uint32_t offset, std::int32_t width = 0)
                                                                                                                                                        +
                                                                                                                                                        237  {
                                                                                                                                                        + +
                                                                                                                                                        239  return trait::ShflUp<ImplementationBase>::shfl_up(warp, value, offset, width ? width : getSize(warp));
                                                                                                                                                        +
                                                                                                                                                        240  }
                                                                                                                                                        +
                                                                                                                                                        241 
                                                                                                                                                        +
                                                                                                                                                        242  //! Exchange data between threads within a warp.
                                                                                                                                                        +
                                                                                                                                                        243  //! It copies from a lane with higher ID relative to caller.
                                                                                                                                                        +
                                                                                                                                                        244  //! The lane ID is calculated by adding delta to the caller’s lane ID.
                                                                                                                                                        +
                                                                                                                                                        245  //!
                                                                                                                                                        +
                                                                                                                                                        246  //! Effectively executes:
                                                                                                                                                        +
                                                                                                                                                        247  //!
                                                                                                                                                        +
                                                                                                                                                        248  //! __shared__ int32_t values[warpsize];
                                                                                                                                                        +
                                                                                                                                                        249  //! values[threadIdx.x] = value;
                                                                                                                                                        +
                                                                                                                                                        250  //! __syncthreads();
                                                                                                                                                        +
                                                                                                                                                        251  //! return (threadIdx.x % width + delta < width) ? values[threadIdx.x + delta] : values[threadIdx.x];
                                                                                                                                                        +
                                                                                                                                                        252  //!
                                                                                                                                                        +
                                                                                                                                                        253  //! However, it does not use shared memory.
                                                                                                                                                        +
                                                                                                                                                        254  //!
                                                                                                                                                        +
                                                                                                                                                        255  //! Notes:
                                                                                                                                                        +
                                                                                                                                                        256  //! * The programmer must ensure that all threads calling this
                                                                                                                                                        +
                                                                                                                                                        257  //! function (and the srcLane) are executing the same line of code.
                                                                                                                                                        +
                                                                                                                                                        258  //! In particular it is not portable to write if(a) {shfl} else {shfl}.
                                                                                                                                                        +
                                                                                                                                                        259  //!
                                                                                                                                                        +
                                                                                                                                                        260  //! * Commonly used with width = warpsize (the default), (returns values[threadIdx.x+delta] if threadIdx.x+delta <
                                                                                                                                                        +
                                                                                                                                                        261  //! warpsize)
                                                                                                                                                        +
                                                                                                                                                        262  //!
                                                                                                                                                        +
                                                                                                                                                        263  //! * Width must be a power of 2.
                                                                                                                                                        +
                                                                                                                                                        264  //!
                                                                                                                                                        +
                                                                                                                                                        265  //! \tparam TWarp warp implementation type
                                                                                                                                                        +
                                                                                                                                                        266  //! \tparam T value type
                                                                                                                                                        +
                                                                                                                                                        267  //! \param warp warp implementation
                                                                                                                                                        +
                                                                                                                                                        268  //! \param value value to broadcast
                                                                                                                                                        +
                                                                                                                                                        269  //! \param offset corresponds to the delta used to compute the lane ID
                                                                                                                                                        +
                                                                                                                                                        270  //! \param width size of the group participating in the shuffle operation
                                                                                                                                                        +
                                                                                                                                                        271  //! \return val from the thread index lane ID.
                                                                                                                                                        + +
                                                                                                                                                        273  template<typename TWarp, typename T>
                                                                                                                                                        +
                                                                                                                                                        274  ALPAKA_FN_ACC auto shfl_down(TWarp const& warp, T value, std::uint32_t offset, std::int32_t width = 0)
                                                                                                                                                        +
                                                                                                                                                        275  {
                                                                                                                                                        + +
                                                                                                                                                        277  return trait::ShflDown<ImplementationBase>::shfl_down(warp, value, offset, width ? width : getSize(warp));
                                                                                                                                                        +
                                                                                                                                                        278  }
                                                                                                                                                        +
                                                                                                                                                        279 
                                                                                                                                                        +
                                                                                                                                                        280  //! Exchange data between threads within a warp.
                                                                                                                                                        +
                                                                                                                                                        281  //! It copies from a lane based on bitwise XOR of own lane ID.
                                                                                                                                                        +
                                                                                                                                                        282  //! The lane ID is calculated by performing a bitwise XOR of the caller’s lane ID with mask
                                                                                                                                                        +
                                                                                                                                                        283  //!
                                                                                                                                                        +
                                                                                                                                                        284  //! Effectively executes:
                                                                                                                                                        +
                                                                                                                                                        285  //!
                                                                                                                                                        +
                                                                                                                                                        286  //! __shared__ int32_t values[warpsize];
                                                                                                                                                        +
                                                                                                                                                        287  //! values[threadIdx.x] = value;
                                                                                                                                                        +
                                                                                                                                                        288  //! __syncthreads();
                                                                                                                                                        +
                                                                                                                                                        289  //! int lane = threadIdx.x ^ mask;
                                                                                                                                                        +
                                                                                                                                                        290  //! return values[lane / width > threadIdx.x / width ? threadIdx.x : lane];
                                                                                                                                                        +
                                                                                                                                                        291  //!
                                                                                                                                                        +
                                                                                                                                                        292  //! However, it does not use shared memory.
                                                                                                                                                        +
                                                                                                                                                        293  //!
                                                                                                                                                        +
                                                                                                                                                        294  //! Notes:
                                                                                                                                                        +
                                                                                                                                                        295  //! * The programmer must ensure that all threads calling this
                                                                                                                                                        +
                                                                                                                                                        296  //! function (and the srcLane) are executing the same line of code.
                                                                                                                                                        +
                                                                                                                                                        297  //! In particular it is not portable to write if(a) {shfl} else {shfl}.
                                                                                                                                                        +
                                                                                                                                                        298  //!
                                                                                                                                                        +
                                                                                                                                                        299  //! * Commonly used with width = warpsize (the default), (returns values[threadIdx.x^mask])
                                                                                                                                                        +
                                                                                                                                                        300  //!
                                                                                                                                                        +
                                                                                                                                                        301  //! * Width must be a power of 2.
                                                                                                                                                        +
                                                                                                                                                        302  //!
                                                                                                                                                        +
                                                                                                                                                        303  //! \tparam TWarp warp implementation type
                                                                                                                                                        +
                                                                                                                                                        304  //! \tparam T value type
                                                                                                                                                        +
                                                                                                                                                        305  //! \param warp warp implementation
                                                                                                                                                        +
                                                                                                                                                        306  //! \param value value to broadcast
                                                                                                                                                        +
                                                                                                                                                        307  //! \param mask corresponds to the mask used to compute the lane ID
                                                                                                                                                        +
                                                                                                                                                        308  //! \param width size of the group participating in the shuffle operation
                                                                                                                                                        +
                                                                                                                                                        309  //! \return val from the thread index lane ID.
                                                                                                                                                        + +
                                                                                                                                                        311  template<typename TWarp, typename T>
                                                                                                                                                        +
                                                                                                                                                        312  ALPAKA_FN_ACC auto shfl_xor(TWarp const& warp, T value, std::int32_t mask, std::int32_t width = 0)
                                                                                                                                                        +
                                                                                                                                                        313  {
                                                                                                                                                        + +
                                                                                                                                                        315  return trait::ShflXor<ImplementationBase>::shfl_xor(warp, value, mask, width ? width : getSize(warp));
                                                                                                                                                        +
                                                                                                                                                        316  }
                                                                                                                                                        +
                                                                                                                                                        317 } // namespace alpaka::warp
                                                                                                                                                        #define ALPAKA_FN_ACC
                                                                                                                                                        All functions that can be used on an accelerator have to be attributed with ALPAKA_FN_ACC or ALPAKA_F...
                                                                                                                                                        Definition: Common.hpp:38
                                                                                                                                                        #define ALPAKA_NO_HOST_ACC_WARNING
                                                                                                                                                        Disable nvcc warning: 'calling a host function from host device function.' Usage: ALPAKA_NO_HOST_ACC_...
                                                                                                                                                        Definition: Common.hpp:82
                                                                                                                                                        typename detail::ImplementationBaseType< TConcept, TDerived >::type ImplementationBase
                                                                                                                                                        Returns the type that implements the given concept in the inheritance hierarchy.
                                                                                                                                                        Definition: Concepts.hpp:66
                                                                                                                                                        +
                                                                                                                                                        constexpr auto offset
                                                                                                                                                        Definition: Extent.hpp:34
                                                                                                                                                        -
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                        Definition: Traits.hpp:102
                                                                                                                                                        -
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto ballot(TWarp const &warp, std::int32_t predicate)
                                                                                                                                                        Evaluates predicate for all non-exited threads in a warp and returns a 32- or 64-bit unsigned integer...
                                                                                                                                                        Definition: Traits.hpp:152
                                                                                                                                                        -
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto any(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                        Definition: Traits.hpp:125
                                                                                                                                                        -
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl(TWarp const &warp, std::int32_t value, std::int32_t srcLane, std::int32_t width=0)
                                                                                                                                                        Exchange data between threads within a warp.
                                                                                                                                                        Definition: Traits.hpp:186
                                                                                                                                                        -
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto getSize(TWarp const &warp) -> std::int32_t
                                                                                                                                                        Returns warp size.
                                                                                                                                                        Definition: Traits.hpp:53
                                                                                                                                                        -
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto activemask(TWarp const &warp) -> decltype(trait::Activemask< concepts::ImplementationBase< ConceptWarp, TWarp >>::activemask(warp))
                                                                                                                                                        Returns a 32- or 64-bit unsigned integer (depending on the accelerator) whose Nth bit is set if and o...
                                                                                                                                                        Definition: Traits.hpp:78
                                                                                                                                                        -
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl(TWarp const &warp, float value, std::int32_t srcLane, std::int32_t width=0)
                                                                                                                                                        shfl for float vals
                                                                                                                                                        Definition: Traits.hpp:195
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto all(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                        Definition: Traits.hpp:114
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto ballot(TWarp const &warp, std::int32_t predicate)
                                                                                                                                                        Evaluates predicate for all non-exited threads in a warp and returns a 32- or 64-bit unsigned integer...
                                                                                                                                                        Definition: Traits.hpp:164
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl_up(TWarp const &warp, T value, std::uint32_t offset, std::int32_t width=0)
                                                                                                                                                        Exchange data between threads within a warp. It copies from a lane with lower ID relative to caller....
                                                                                                                                                        Definition: Traits.hpp:236
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto any(TWarp const &warp, std::int32_t predicate) -> std::int32_t
                                                                                                                                                        Evaluates predicate for all active threads of the warp and returns non-zero if and only if predicate ...
                                                                                                                                                        Definition: Traits.hpp:137
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl_down(TWarp const &warp, T value, std::uint32_t offset, std::int32_t width=0)
                                                                                                                                                        Exchange data between threads within a warp. It copies from a lane with higher ID relative to caller....
                                                                                                                                                        Definition: Traits.hpp:274
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto getSize(TWarp const &warp) -> std::int32_t
                                                                                                                                                        Returns warp size.
                                                                                                                                                        Definition: Traits.hpp:65
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto activemask(TWarp const &warp) -> decltype(trait::Activemask< concepts::ImplementationBase< ConceptWarp, TWarp >>::activemask(warp))
                                                                                                                                                        Returns a 32- or 64-bit unsigned integer (depending on the accelerator) whose Nth bit is set if and o...
                                                                                                                                                        Definition: Traits.hpp:90
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl_xor(TWarp const &warp, T value, std::int32_t mask, std::int32_t width=0)
                                                                                                                                                        Exchange data between threads within a warp. It copies from a lane based on bitwise XOR of own lane I...
                                                                                                                                                        Definition: Traits.hpp:312
                                                                                                                                                        +
                                                                                                                                                        ALPAKA_NO_HOST_ACC_WARNING ALPAKA_FN_ACC auto shfl(TWarp const &warp, T value, std::int32_t srcLane, std::int32_t width=0)
                                                                                                                                                        Exchange data between threads within a warp.
                                                                                                                                                        Definition: Traits.hpp:198
                                                                                                                                                        -
                                                                                                                                                        The active mask trait.
                                                                                                                                                        Definition: Traits.hpp:44
                                                                                                                                                        +
                                                                                                                                                        The active mask trait.
                                                                                                                                                        Definition: Traits.hpp:56
                                                                                                                                                        The all warp vote trait.
                                                                                                                                                        Definition: Traits.hpp:28
                                                                                                                                                        The any warp vote trait.
                                                                                                                                                        Definition: Traits.hpp:32
                                                                                                                                                        The ballot warp vote trait.
                                                                                                                                                        Definition: Traits.hpp:36
                                                                                                                                                        The warp size trait.
                                                                                                                                                        Definition: Traits.hpp:24
                                                                                                                                                        +
                                                                                                                                                        The shfl down warp swizzling trait.
                                                                                                                                                        Definition: Traits.hpp:48
                                                                                                                                                        +
                                                                                                                                                        The shfl up warp swizzling trait.
                                                                                                                                                        Definition: Traits.hpp:44
                                                                                                                                                        +
                                                                                                                                                        The shfl xor warp swizzling trait.
                                                                                                                                                        Definition: Traits.hpp:52
                                                                                                                                                        The shfl warp swizzling trait.
                                                                                                                                                        Definition: Traits.hpp:40
                                                                                                                                                        @@ -313,7 +436,7 @@ diff --git a/workdiv_2Traits_8hpp.html b/workdiv_2Traits_8hpp.html index e1140a27fc0d..46c7d991f2f5 100644 --- a/workdiv_2Traits_8hpp.html +++ b/workdiv_2Traits_8hpp.html @@ -137,7 +137,7 @@ diff --git a/workdiv_2Traits_8hpp_source.html b/workdiv_2Traits_8hpp_source.html index 57bf00d5c631..386a3955b04a 100644 --- a/workdiv_2Traits_8hpp_source.html +++ b/workdiv_2Traits_8hpp_source.html @@ -187,7 +187,7 @@