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