#!/bin/bash
# See http://wiki.ex3.simula.no before changing the values below
#SBATCH -p dgx2q                   # partition (GPU queue)
#SBATCH -w g001                    # DGX-2 node
##SBATCH --gres=gpu:4               # 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/20.02.7
module load cuda11.2/toolkit/11.2.2
module load openmpi4-cuda11.2-ofed50-gcc8/4.1.0

# Check how many gpu's your job got
#nvidia-smi

mkdir -p output_dgx-2/$NOW

## Copy input files to the work directory:
mkdir -p /work/$USER/$SLURM_JOB_ID/ShallowWaterGPU
cp -r . /work/$USER/$SLURM_JOB_ID/ShallowWaterGPU

# Run job
# (Assumes Miniconda is installed in user root dir.)
cd /work/$USER/$SLURM_JOB_ID/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 mpiTesting.py -nx $NX -ny $NY --profile
#nsys profile -t nvtx,cuda mpirun -np  $SLURM_NTASKS numactl --cpunodebind=0 --localalloc $HOME/miniconda3/envs/ShallowWaterGPU_HPC/bin/python3 mpiTesting.py -nx $NX -ny $NY --profile
mpirun -np  $SLURM_NTASKS numactl --cpunodebind=0 --localalloc $HOME/miniconda3/envs/ShallowWaterGPU_HPC/bin/python3 mpiTesting.py -nx $NX -ny $NY --profile
cd $HOME/src/ShallowWaterGPU

## Copy files from work directory:
# (NOTE: Copying is not performed if job fails!)
mkdir -p output_dgx-2/$NOW/$SLURM_JOB_ID
mv /work/$USER/$SLURM_JOB_ID/ShallowWaterGPU/*.log ./output_dgx-2/$NOW/$SLURM_JOB_ID
mv /work/$USER/$SLURM_JOB_ID/ShallowWaterGPU/*.nc ./output_dgx-2/$NOW/$SLURM_JOB_ID
mv /work/$USER/$SLURM_JOB_ID/ShallowWaterGPU/*.json ./output_dgx-2/$NOW
mv /work/$USER/$SLURM_JOB_ID/ShallowWaterGPU/*.qdrep ./output_dgx-2/$NOW

rm -rf /work/$USER/$SLURM_JOB_ID