Updates and clarification for minimum requirements

Author: fspiga

README

@@ -17,112 +17,4 @@ DISCLAIMER for details. This README presents an introduction to compiling,
 installing, and using QE-GPU.
 
 
-                               * * * * *
-
-   !!! THIS VERSION IS COMPATIBLE ONLY WITH QE 5.3 AND FORWARD !!!
-   
-     !!! QE-GPU NOW FOLLOWS QUANTUM ESPRESSO RELEASE ROADMAP !!!
-
-                               * * * * *
-
-How to compile
---------------
-
-1. Copy QE-GPU in espresso directory
-
-Move to the espresso root directory, uncompress the archive
-$ tar zxvf QE-GPU-<TAG-NAME>.tar.gz 
-
-and create a symbolic link with the name GPU
-$ ln -s QE-GPU-<TAG-NAME> GPU
-
-Replace <TAG-GPU> with the corred TAG name/id
-
-
-2. Run QE-GPU configure
-
-The QE-GPU configure is located in the GPU directory. An example of serial
-configuration is the following:
-
-$ cd GPU
-$ ./configure --disable-parallel --enable-openmp \
-  --enable-cuda --with-gpu-arch=sm_35 \
-  --with-cuda-dir=<full-path-where-CUDA-is-installed> \
-  --with-magma --with-phigemm
-$ cd ..
-$ make -f Makefile.gpu pw-gpu
-
-
-An example for parallel execution:
-$ cd GPU
-$ ./configure --enable-parallel --enable-openmp --with-scalapack \
-  --enable-cuda --with-gpu-arch=sm_35 \
-  --with-cuda-dir=<full-path-where-CUDA-is-installed> \
-  --without-magma --with-phigemm
-$ cd ..
-$ make -f Makefile.gpu pw-gpu
-
-
-For additional options for QE-GPU see "./configure --help". Here a summary
-of all GPU-related options
-
-  --enable-cuda           enable CUDA (default: no)
-
-  --enable-debug-cuda     enable CUDA debug (default: no)
-
-  --with-cuda-dir=<path>  specify CUDA installation directory (default is
-                          /usr/local/cuda/ - MANDATORY)
-
-  --with-gpu-arch=<arch>  (sm_13|sm_20|sm_21|sm_30|sm_35) Specify the GPU
-                          target architecture (default: all)
-
-  --with-magma            (yes|no|<path>) Use MAGMA. Self-compile or a <path>
-                          can be specified (default: no)
-
-  --with-phigemm          (yes|no|<path>|profile) Use PHIGEMM. Self-compile or
-                          a <path> can be specified (default: yes)
-
-  --with-pinned-mem       (yes|no) Use pinned memory for accelerated BLAS
-                          (default: no )
-
-IMPORTANT NOTES:
-- specify always the right GPU compute capability or leave the make to 
-  compile for all possible compute capabilities which support Double Precision
-- specify the correct PATH of CUDA (where CUDA is installed). Usually HPC 
-  systems have the env variable $CUDA_HOME or $CUDA_ROOT
-- "pw-gpu.x" will be placed under "bin/" (and also under "GPU/PW/")
-
-
-                               * * * * *
-
-
-Trouble-makers, inconsistencies, Known bugs, etc. 
--------------------------------------------------
-
-- if you are using Intel MPI, please add to DFLAGS "-DMPICH_SKIP_MPICXX" to 
-  ignore MPI C++ bindings.
-  
-- if the calculation fail due to "S non definite positive" or other errors
-  related to MAGMA then recompile by disabling MAGMA support.
-
-   
-                               * * * * *
-
-
-In case of CUDA/GPU code errors...
-----------------------------------
-        
-It may happen that some ported routines fail. If this happen you can easily
-decide to run the code skipping that specific "GPU" section that may produce 
-some issues. To do that it is possible to compile the code with few additional
-flags that exclude the GPU code related to ADDUSDENS, NEWD or VLOC_PSI. 
-
-These flags are: 
--D__DISABLE_CUDA_ADDUSDENS 
--D__DISABLE_CUDA_VLOCPSI 
--D__DISABLE_CUDA_NEWD
-
-Without editing the make.sys, you can run make in this way:
-$ make -f Makefile.gpu MANUAL_DFLAGS="-D__DISABLE_CUDA_ADDUSDENS" pw-gpu
-
-You can also specify more of these flags together.
+* For additional information please refer to README.md

README.md

@@ -15,11 +15,9 @@ under the GNU General Public License, please see the files LICENSE and
 DISCLAIMER for details. This README presents an introduction to compiling,
 installing, and using QE-GPU.
 
-**This version is compatible only with Quantum ESPRESSO 5.4** 
-
 ## Supported GPU Architectures
 
- GPU | gpu-arch |
+ GPU | gpu-arch | 
 :---:|:---:|
  M2070 | Fermi |
  M2070Q | Fermi |
@@ -30,12 +28,20 @@ installing, and using QE-GPU.
  K40 | Kepler |
  K40c | Kepler |
  K80 | Kepler |
- P100 (PCIe) | Pascal |
- P100 (SMX2) | Pascal |
+ P100 (PCIe) | Pascal (CUDA 8.0 mandatory) |
+ P100 (SMX2) | Pascal (CUDA 8.0 mandatory)|
 
 
 Any other GPU not listed in this table is **not** officially supported. The code may work but due to lack of proper double precision support or ECC the performance will not be ideal.
 
+for more information about NVIDIA GPU, see [Wikipedia](https://en.wikipedia.org/wiki/Nvidia_Tesla)
+
+## Requirements
+
+* Quantum ESPRESSO 5.4
+* Kepler GPU: (minimum) CUDA SDK 6.5
+* Pascal GPU: (minimum) CUDA SDK 8.0
+
 
 ## How to compile