Jobs/job_apptainer_lumi.slurm

@@ -1,26 +0,0 @@
-#!/bin/bash -l
-#SBATCH --job-name=lumi
-#SBATCH --account=project_4650000xx
-#SBATCH --time=00:10:00
-#SBATCH --partition=dev-g
-#SBATCH --nodes=1
-#SBATCH --ntasks-per-node=8
-#SBATCH --gpus-per-node=8
-#SBATCH --output=%x-%j.out
-#SBATCH --exclusive
-
-N=$SLURM_JOB_NUM_NODES
-echo "--nbr of nodes:", $N
-echo "--total nbr of gpus:", $SLURM_NTASKS
-
-MyDir=/project/project_4650000xx
-MyApplication=${MyDir}/FiniteVolumeGPU_HIP/mpiTesting.py
-Container=${MyDir}/FiniteVolumeGPU_HIP/my_container.sif
-
-CPU_BIND="map_cpu:49,57,17,25,1,9,33,41"
-
-export MPICH_GPU_SUPPORT_ENABLED=1
-
-srun --cpu-bind=${CPU_BIND} --mpi=pmi2 \
-     apptainer exec "${Container}" \
-     python ${MyApplication} -nx 1024 -ny 1024 --profile

Jobs/job_lumi.slurm

@@ -13,9 +13,9 @@ N=$SLURM_JOB_NUM_NODES
 echo "--nbr of nodes:", $N
 echo "--total nbr of gpus:", $SLURM_NTASKS
 
-MyDir=/project/project_4650000xx
+Mydir=/project/${project}
-MyApplication=${MyDir}/FiniteVolumeGPU_HIP/mpiTesting.py
+Myapplication=${Mydir}/FiniteVolumeGPU_HIP/mpiTesting.py
-CondaEnv=${MyDir}/FiniteVolumeGPU_HIP/MyCondaEnv/bin
+CondaEnv=${Mydir}/FiniteVolumeGPU_HIP/MyCondaEnv/bin
 
 export PATH="${CondaEnv}:$PATH"
 
@@ -24,4 +24,4 @@ CPU_BIND="map_cpu:49,57,17,25,1,9,33,41"
 export MPICH_GPU_SUPPORT_ENABLED=1
 
 srun --cpu-bind=${CPU_BIND} --mpi=pmi2 \
-     python ${MyApplication} -nx 1024 -ny 1024 --profile
+     python ${Myapplication} -nx 1024 -ny 1024 --profile

README.md

@@ -17,34 +17,19 @@ conda-containerize new --prefix MyCondaEnv conda_environment_lumi.yml
 where the file `conda_environment_lumi.yml` contains packages to be installed.
 
 ### Step 1 alternative: Convert to a singularity container with cotainr
-Load the required modules first
-```shell
-ml CrayEnv
-ml cotainr
 ```
-
-Then build the Singularity/Apptainer container 
-```shell
 cotainr build my_container.sif --system=lumi-g --conda-env=conda_environment_lumi.yml
 ```
 
 ### Step 2: Modify Slurm Job file
-Depending on your build method, update [`Jobs/job_lumi.slurm`](Jobs/job_lumi.slurm) if `conda-containerize` was used, or [`Jobs/job_apptainer_lumi.slurm`](Jobs/job_apptainer_lumi.slurm) if `containr` was used.
+Update the contents of [`Jobs/job_lumi.slurm`](Jobs/job_lumi.slurm) to match your project allocation,
-
+and the directories of where the simulator and Conda container is stored.
-In the job file, the required changes is to match your project allocation,
-and the directories of where the simulator and container is stored.
 
 ### Step 3: Run the Slurm Job
-If `conda-containerize` was used for building:
 ```shell
 sbatch Jobs/job_lumi.slurm
 ```
 
-Otherwise, if `containr` was used for building:
-```shell
-sbatch Jobs/job_apptainer_lumi.slurm
-```
-
 ### Troubleshooting
 
 #### Error when running MPI.