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For the PVC partition, Intel MPI is the preferred GPU-aware MPI implementation. Load an impi environment module, to make it available.

To enable GPU support, set the environment variable I_MPI_OFFLOAD to "1" (in your jobscript). In case you make use of GPUs on multiple nodes, it is strongly recommended to use the psm3 libfabric provider (FI_PROVIDER=psm3)

Depending on your application’s needs set I_MPI_OFFLOAD_CELL to either tile or device to assign each MPI rank either a tile or the whole GPU device.

It is recommended to check the pinning by setting I_MPI_DEBUG to (at least) 3 and I_MPI_OFFLOAD_PRINT_TOPOLOGY to 1.

Refer to the Intel MPI documentation on GPU support for further information.

Example Job Script:

#!/bin/bash

# example to use use 2 x (2 x 4) = 16 MPI processes, each assigned 
# to one of the two tiles (stacks) of an PVC GPU

#SBATCH --partition=gpu-pvc
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=8
#SBATCH --job-name=pin-check

# required for usage of Intel GPUs 
module load intel
# required for MPI, apparently
module load impi/2021.11

# required for GPU usage with MPI
export FI_PROVIDER=psm3

# to enable GPU support in Intel MPI
export I_MPI_OFFLOAD=1

# assign each rank a tile of a GPU
export I_MPI_OFFLOAD_CELL=tile

# for checking the process pinning
export I_MPI_DEBUG=3
export I_MPI_OFFLOAD_PRINT_TOPOLOGY=1

mpirun ./application