GPU: Difference between revisions
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[[Category: | [[Category:Sapelo2]] | ||
==GPU Computing on | ==GPU Computing on Sapelo2== | ||
===Hardware=== | ===Hardware=== | ||
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===Software=== | ===Software=== | ||
Sapelo2 has the following tools for programming for GPUs: | |||
'''1. NVIDIA CUDA toolkit''' | '''1. NVIDIA CUDA toolkit''' | ||
Several versions of the CUDA toolkit are available. Please see our [[CUDA]] page. | Several versions of the CUDA toolkit are available. Please see our [[CUDA-Sapelo2|CUDA]] page. | ||
'''2. PGI/CUDA compilers''' | '''2. PGI/CUDA compilers''' | ||
The | The PGI compilers available on Sapelo2 support GPU acceleration, including Fortran/CUDA. | ||
For more information on the GPU support of PGI compilers, please | For more information on the GPU support of PGI compilers, please visit the PGI website http://www.pgroup.com/resources/cudafortran.htm | ||
'''3. | For information on versions of PGI compilers installed on Sapelo2, please see [[Code Compilation on Sapelo2]]. | ||
'''3. OpenACC''' | |||
Using PGI Accelerator compilers, programmers can accelerate applications on x64+accelerator platforms by adding OpenACC compiler directives to Fortran and C programs and then recompiling with appropriate compiler options. Please see http://www.pgroup.com/resources/accel.htm | Using PGI Accelerator compilers, programmers can accelerate applications on x64+accelerator platforms by adding OpenACC compiler directives to Fortran and C programs and then recompiling with appropriate compiler options. Please see http://www.pgroup.com/resources/accel.htm | ||
OpenACC is also supported by GNU compilers, especially the latest versions, e.g. GNU 7.2.0, installed on Sapelo2. For more information on OpenACC support by GNU compilers, please refer to https://gcc.gnu.org/wiki/OpenACC | |||
For information on versions of GNU compilers installed on Sapelo2, please see [[Code Compilation on Sapelo2]]. | |||
===Running Jobs=== | ===Running Jobs=== | ||
For information on how to run GPU jobs on | For information on how to run GPU jobs on Sapelo2, please refer to [[Running_Jobs_on_Sapelo2#Running_GPU_jobs | Running GPU Jobs]]. | ||
Revision as of 09:01, 15 June 2018
GPU Computing on Sapelo2
Hardware
For a description of the Graphics Processing Units (GPU) resources available, please see GPU Hardware.
Software
Sapelo2 has the following tools for programming for GPUs:
1. NVIDIA CUDA toolkit
Several versions of the CUDA toolkit are available. Please see our CUDA page.
2. PGI/CUDA compilers
The PGI compilers available on Sapelo2 support GPU acceleration, including Fortran/CUDA.
For more information on the GPU support of PGI compilers, please visit the PGI website http://www.pgroup.com/resources/cudafortran.htm
For information on versions of PGI compilers installed on Sapelo2, please see Code Compilation on Sapelo2.
3. OpenACC
Using PGI Accelerator compilers, programmers can accelerate applications on x64+accelerator platforms by adding OpenACC compiler directives to Fortran and C programs and then recompiling with appropriate compiler options. Please see http://www.pgroup.com/resources/accel.htm
OpenACC is also supported by GNU compilers, especially the latest versions, e.g. GNU 7.2.0, installed on Sapelo2. For more information on OpenACC support by GNU compilers, please refer to https://gcc.gnu.org/wiki/OpenACC
For information on versions of GNU compilers installed on Sapelo2, please see Code Compilation on Sapelo2.
Running Jobs
For information on how to run GPU jobs on Sapelo2, please refer to Running GPU Jobs.