mirror of
https://github.com/smyalygames/FiniteVolumeGPU.git
synced 2025-05-18 22:44:12 +02:00
35 lines
1.1 KiB
Bash
35 lines
1.1 KiB
Bash
#!/bin/bash
|
|
#SBATCH -p dgx2q # partition (GPU queue)
|
|
#SBATCH -N 1 # number of nodes
|
|
#SBATCH -n 1 # number of cores
|
|
#SBATCH -w g001 # DGX-2 node
|
|
#SBATCH --gres=gpu:2 # number of V100's
|
|
#SBATCH -t 0-00:10 # time (D-HH:MM)
|
|
#SBATCH -o slurm.%N.%j.out # STDOUT
|
|
#SBATCH -e slurm.%N.%j.err # STDERR
|
|
|
|
ulimit -s 10240
|
|
module load slurm
|
|
module load openmpi/4.0.1
|
|
module load cuda10.1/toolkit/10.1.243
|
|
|
|
# Check how many gpu's your job got
|
|
#nvidia-smi
|
|
|
|
## Copy input files to the work directory:
|
|
rm -rf /work/$USER/ShallowWaterGPU
|
|
mkdir -p /work/$USER/ShallowWaterGPU
|
|
cp -r . /work/$USER/ShallowWaterGPU
|
|
|
|
# Run job
|
|
# (Assumes Miniconda is installed in user root dir.)
|
|
cd /work/$USER/ShallowWaterGPU
|
|
mpirun --mca btl_openib_if_include mlx5_0 --mca btl_openib_warn_no_device_params_found 0 $HOME/miniconda3/envs/ShallowWaterGPU_HPC/bin/python3 shmemTesting.py
|
|
cd $HOME/src/ShallowWaterGPU
|
|
|
|
## Copy files from work directory:
|
|
# (NOTE: Copying is not performed if job fails!)
|
|
cp /work/$USER/ShallowWaterGPU/*.log .
|
|
cp /work/$USER/ShallowWaterGPU/*.nc .
|
|
|