CMakeLists.txt

cmake_minimum_required (VERSION 3.5)
project(sycl-bench)

set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} ${PROJECT_SOURCE_DIR}/cmake)
set_property(GLOBAL PROPERTY USE_FOLDERS ON)

if(NOT CMAKE_BUILD_TYPE)
  set(CMAKE_BUILD_TYPE "Release" CACHE STRING "CMake Build Type" FORCE)
endif()

set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)

# Due to CMake limitations, hipSYCL requires C++ standard to be set manually
set(CMAKE_SYCL_FLAGS "${CMAKE_SYCL_FLAGS} -std=c++17")

if(CMAKE_GENERATOR STREQUAL "Ninja")
  set(CMAKE_SYCL_FLAGS "${CMAKE_SYCL_FLAGS} -fdiagnostics-color=always")
  set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fdiagnostics-color=always")
  set(COMPUTECPP_USER_FLAGS "${COMPUTECPP_USER_FLAGS} -fdiagnostics-color=always")
endif()

include_directories(${CMAKE_SOURCE_DIR}/include)
include_directories(${CMAKE_SOURCE_DIR}/polybench/common)

set(supported_implementations
  ComputeCpp
  hipSYCL
  LLVM
  LLVM-CUDA
  triSYCL
)

list(FIND supported_implementations ${SYCL_IMPL} impl_idx)
if(NOT SYCL_IMPL OR impl_idx EQUAL -1)
  message(FATAL_ERROR "Please specify SYCL_IMPL (one of: ${supported_implementations})")
endif()

if(SYCL_IMPL STREQUAL "ComputeCpp")
  find_package(ComputeCpp MODULE REQUIRED)
elseif(SYCL_IMPL STREQUAL "hipSYCL")
  find_package(hipSYCL CONFIG REQUIRED)
elseif(SYCL_IMPL STREQUAL "LLVM")
  set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsycl")
elseif(SYCL_IMPL STREQUAL "LLVM-CUDA")
  set(CMAKE_CXX_FLAGS
    "${CMAKE_CXX_FLAGS} -fsycl -fsycl-targets=nvptx64-nvidia-cuda-sycldevice")
elseif(SYCL_IMPL STREQUAL "triSYCL")
  find_package(TriSYCL MODULE REQUIRED)
endif()

set(benchmarks
  micro/arith.cpp
  micro/DRAM.cpp
  micro/host_device_bandwidth.cpp
  micro/pattern_L2.cpp
  micro/sf.cpp
  micro/local_mem.cpp
  single-kernel/median.cpp
  single-kernel/scalar_prod.cpp
  single-kernel/sobel.cpp
  single-kernel/sobel5.cpp
  single-kernel/sobel7.cpp
  single-kernel/vec_add.cpp
  single-kernel/lin_reg_error.cpp
  single-kernel/lin_reg_coeff.cpp
  single-kernel/kmeans.cpp
  single-kernel/mol_dyn.cpp
  single-kernel/nbody.cpp
  pattern/segmentedreduction.cpp
  pattern/reduction.cpp
  runtime/dag_task_throughput_sequential.cpp
  runtime/dag_task_throughput_independent.cpp
  runtime/blocked_transform.cpp
  runtime/matmulchain.cpp
  polybench/2DConvolution.cpp
  polybench/2mm.cpp
  polybench/3DConvolution.cpp
  polybench/3mm.cpp
  polybench/atax.cpp
  polybench/bicg.cpp
  polybench/correlation.cpp
  polybench/covariance.cpp
  polybench/fdtd2d.cpp
  polybench/gemm.cpp
  polybench/gesummv.cpp
  polybench/gramschmidt.cpp
  polybench/mvt.cpp
  polybench/syr2k.cpp
  polybench/syrk.cpp
  #compiletime/compiletime.cpp
)

foreach(benchmark IN LISTS benchmarks)
  get_filename_component(target ${benchmark} NAME_WE)

  add_executable(${target} ${benchmark})

  if(SYCL_IMPL STREQUAL "ComputeCpp" OR SYCL_IMPL STREQUAL "hipSYCL")
    add_sycl_to_target(TARGET ${target} SOURCES ${benchmark})
  endif()

  if(SYCL_IMPL STREQUAL "ComputeCpp" AND COMPUTECPP_BITCODE STREQUAL "ptx64")
    target_compile_definitions(${target} PRIVATE SYCL_BENCH_ENABLE_QUEUE_PROFILING)
  endif()

  if(SYCL_IMPL STREQUAL "LLVM")
    target_compile_definitions(${target} PRIVATE __LLVM_SYCL__)
  endif()

  if(SYCL_IMPL STREQUAL "LLVM-CUDA")
    target_compile_definitions(${target} PRIVATE __LLVM_SYCL_CUDA__)
  endif()

  if(SYCL_IMPL STREQUAL "triSYCL")
    add_sycl_to_target(${target})
    target_compile_definitions(${target} PRIVATE __TRISYCL__)
  endif()

  install(TARGETS ${target} RUNTIME DESTINATION bin/benchmarks/)
  get_filename_component(dir ${benchmark} DIRECTORY)
  set_property(TARGET ${target} PROPERTY FOLDER ${dir})
endforeach(benchmark)

# The "compiletime" target should only be used in the context of the compile time evaluation script
#set_target_properties(compiletime PROPERTIES EXCLUDE_FROM_ALL 1)

install(PROGRAMS bin/run-suite DESTINATION bin/)
install(FILES ${PROJECT_SOURCE_DIR}/Brommy.bmp DESTINATION share/)