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
- a GPU A100 login node, like bgnlogin.nhr.zib.de.
- see also Quickstart
Code build
For code generation we recommend the software package NVIDIA hpcx which is a combination of compiler and powerful libraries, like e.g. CUDA, blas, and MPI.
| Codeblock | ||||
|---|---|---|---|---|
| ||||
bgnlogin1 $ module load nvhpc-hpcx/23.1 bgnlogin1 $ module list Currently Loaded Modulefiles: ... 4) hpcx 5) nvhpc-hpcx/23.1 bgnlogin1 $ nvc -mpcuda -target=gpu openmp_gpu.cgpu=cc8.0 -o openmp_gpu.bincuda.bin cuda.c |
CUDA offers a blas library for the GPU and it can be used in combination with MPI.
| Codeblock | ||||
|---|---|---|---|---|
| ||||
bgnlogin1 $ module load nvhpc-hpcx/23.1 bgnlogin1 $ module list Currently Loaded Modulefiles: ... 4) hpcx 5) nvhpc-hpcx/23.1 bgnlogin1 $ mpiccnvc -mpcuda -target=gpu mpi_openmp_gpu.cgpu=cc8.0 -o cuda_cublas.bin cuda_cublas.c bgnlogin1 $ nvc -cuda -gpu=cc8.0 -cudalib=cublas -o cuda_cublas.bin cuda_cublas.c bgnlogin1 $ mpicc -cuda -gpu=cc8.0 -cudalib=cublas -o cuda_cublas_mpi.bin cuda_openmpcublas_gpumpi.binc |
Code execution
All available slurm partitions for the A100 GPU partition you can see on Slurm partitions GPU A100.
...