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CUDA (Compute Unified Device Architecture) is an interface to program Nvidia GPUs. It offers support to the languages such as C, C++, and Fortran.

To build and execute code on the GPU A100 cluster, please login to

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titleCUDA and with cublas
bgnlogin1 $ module load nvhpc-hpcx/23.1
bgnlogin1 $ module list
Currently Loaded Modulefiles: ... 4) hpcx   5) nvhpc-hpcx/23.1
bgnlogin1 $ nvc -cuda -gpu=cc8.0 cuda.c -o cuda.bin cuda.c
bgnlogin1 $ nvc -cuda -gpu=cc8.0 -cudalib=cublas -o cuda_cublas.binc -o cuda_cublas.cbin
  • CUDA offers a blas library for the GPU
  • and it can be used in combination with MPI.
Codeblock
languagetext
titleCUDA with MPI
bgnlogin1 $ module load nvhpc-hpcx/23.1
bgnlogin1 $ mpicc -cuda -gpu=cc8.0 -cudalib=cublas -o mpi_cuda_cublas.binc -o mpi_cuda_cublas.cbin

Code execution

All available slurm partitions for the A100 GPU partition you can see on Slurm partitions GPU A100.

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