FiniteVolumeGPU

This is a HIP version of the FiniteVolume code. It is a Python software package that implements several finite volume discretizations on Cartesian grids for the shallow water equations and the Euler equations.

Setup on LUMI-G

Here is a step-by-step guide on installing packages on LUMI-G

Step 1: run conda-container

Installation via conda can be done as:

ml LUMI/24.03 partition/G
ml lumi-container-wrapper

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

ml CrayEnv
ml cotainr

Then build the Singularity/Apptainer container

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 if conda-containerize was used, or Jobs/job_apptainer_lumi.slurm if containr was used.

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:

sbatch Jobs/job_lumi.slurm

Otherwise, if containr was used for building:

sbatch Jobs/job_apptainer_lumi.slurm

Troubleshooting

Error when running MPI.

`MPI startup(): PMI server not found. Please set I_MPI_PMI_LIBRARY variable if it is not a singleton case.

This can be resolved by exporting this:

export I_MPI_PMI_LIBRARY=/opt/cray/pe/mpich/8.1.29/ofi/cray/17.0/lib/libmpi.so

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