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

• a GPU A100 login node, like bgnlogin.nhr.zib.de.
• see also QuickstartGPU A100 partition

Code build

For code generation we recommend the software package NVIDIA hpcx which is a combination of compiler and powerful libraries, like e.g. MPI.

...

bgnlogin1 $ module load nvhpc-hpcx/23.1
bgnlogin1 $ module list
Currently Loaded Modulefiles: ... 4) hpcx   5) nvhpc-hpcx/23.1
bgnlogin1 $ mpicc -mp -target=gpu mpi_openmp_gpu.c -o mpi_openmp_gpu.bin

Code execution

Lise's CPU-only partition and All available slurm partitions for the A100 GPU partition share the same SLURM batch system. The main SLURM partition for the A100 GPU partition has the name "gpu-a100". An example job script is shown below.

...

you can see on Slurm partitions GPU A100.

#!/bin/bash
#SBATCH --partition=gpu-a100:shared
#SBATCH --gres=gpu:1
#SBATCH --nodes=21
#SBATCH --ntasks=8 -per-node=72

./openmp_gpu.bin

#!/bin/bash
#SBATCH --partition=gpu-a100
#SBATCH --gres=gpu:4
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=72

module load openmpinvhpc-hpcx/gcc23.11/4.1.4
mpirun ./mycode--np 8 --map-by ppr:2:socket:pe=1 ./mpi_openmp_gpu.bin