GPU: Difference between revisions
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! scope="col" | CPU processor | ! scope="col" | CPU processor | ||
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! scope="col" | GPU devices/node | ! scope="col" | GPU devices/node | ||
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Revision as of 07:51, 18 April 2022
GPU Computing on Sapelo2
Hardware
For a description of the Graphics Processing Units (GPU) device specifications, please see GPU Hardware.
The following table summarizes the GPU devices available on sapelo2:
| Number of nodes | CPU cores/node | Host memory/node | CPU processor | GPU model | GPU devices/node | Device memory | Partition Name | Notes |
|---|---|---|---|---|---|---|---|---|
| 1 | 64 | 1TB | AMD Milan | A100 | 4 | 80GB | gpu_p, gpu_30d_p | Need to request --gres=gpu:A100, e.g.,
#SBATCH --partition=gpu_p #SBATCH --gres=gpu:A100:1 |
| 4 | 32 | 192GB | Intel Skylake | P100 | 1 | 16GB | gpu_p, gpu_30d_p | |
| 2 | 16 | 128GB | Intel Sandy Bridge | K40m | 8 | 11GB | gpu_p, gpu_30d_p | |
| 2 | 12 | 94GB | Intel Westmere | K20Xm | 7 | 5.7GB | gpu_p, gpu_30d_p | |
| 2 | 24 | 128GB | Intel Haswell | K80 | 2 | 11GB | buyin partition | Available on batch for all users up to 4 hours, e.g.,
#SBATCH --partition=batch #SBATCH --gres=gpu:V100:1 #SBATCH --time=4:00:00 |
| 2 | 28 | 256GB | Intel Broadwell | P100 | 1 | 16GB | buyin partition | |
| 2 | 28 | 192GB | Intel Skylake | V100 | 1 | 16GB | buyin partition | |
| 2 | 32 | 192GB | Intel Skylake | V100 | 1 | 16GB | buyin partition | |
| 2 | 32 | 384GB | Intel Skylake | V100 | 1 | 32GB | buyin partition | |
| 2 | 64 | 128GB | AMD Naples | V100 | 2 | 32GB | buyin partition | |
| 1 | 64 | 128GB | AMD Naples | V100 | 1 | 32GB | buyin partition | |
| 4 | 64 | 128GB | AMD Rome | V100S | 1 | 32GB | buyin partition |
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 the NVIDIA HPC SDK compiler suite or the old 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 https://developer.nvidia.com/hpc-sdk and 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 Jobs on Sapelo2.