# 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

### Granada: 2 x RTX 2080 + 1 x RTX "new" + X x P100
