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  • Each node of the GPU A100 system is a combination of a host CPU and their four attached device GPUs. There is a wide range of software to support this hardware.
  • We recommend to use the GPU A100 login nodes for program build. If a program build needs for the presence of CUDA drivers, compilation is possible on a compute node within a slurm job session, too. For build examples, please visit our manual on
  • GPU-aware MPI: For efficient use of MPI-distributed GPU codes, an GPU/CUDA-aware MPI installation of Open MPI is available in the openmpi/gcc.11/4.1.4 environment module. Open MPI respects the resource requests made to Slurm. Thus, no special arguments are required to mpiexec/run. Nevertheless, please consider and check the correct binding for your application to CPU cores and GPUs. Use --report-bindings of mpiexec/run to check it.

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