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	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:
ssh -L 8888:localhost:80 ip-from-webpage
(access localhost:8888 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:
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
Granada: 2 x RTX 2080 + 1 x RTX "new" + X x P100
					Languages
				
				
								
								
									Jupyter Notebook
								
								98.5%
							
						
							
								
								
									Python
								
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									Cuda
								
								0.3%
							
						
							
								
								
									C++
								
								0.2%
							
						
							
								
								
									Shell
								
								0.1%
							
						
					