ShallowWaterGPU

Systems

Connection and run details for all potential benchmark systems.

OsloMet 2 x Quadro RTX 6000 (VPN necessary)

Connect:
ssh -AX ip-from-webpage

For Jupyter Notebook:
Access https://seymour.cs.oslomet.no in browser and open terminal (one time operation) conda env create -f conda_environment.yml
conda activate ShallowWaterGPU / choose the "conda:ShallowWaterGPU" kernel in the notebook

Simula DGX-2

Connect:
ssh -YAC2 dnat.simula.no -p 60441 (and then ssh -Y g001 for direct login to DGX-2 box)

Example job script:
dgx-2-test.job

Submit:
module use /cm/shared/ex3-modules/latest/modulefiles # Latest ex3-modules
module load slurm/20.02.7 # To load slurm module
sbatch dgx-2-test.job

PPI 4 x P100 (VPN necessary)

Connect:
ssh -AX gpu-01.ppi.met.no
ssh -AX gpu-02.ppi.met.no
ssh -AX gpu-03.ppi.met.no
ssh -AX gpu-04.ppi.met.no

Submit:
run_script_ppi.sh

Saga 8 nodes with 4 x P100

Connect:
ssh -AX saga.sigma2.no

Example job script:
saga-dev.job

Submit:
sbatch saga-dev.job

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