FiniteVolumeGPU

This is a HIP version of the FiniteVolume code (work in progress). 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

A good place to start exploring this codebase is the notebooks. Complete the following steps to run the notebooks:

Install conda (see e.g. Miniconda or Anaconda)
Change directory to the repository root and run the following commands
conda env create -f conda_environment.yml
conda activate ShallowWaterGPU
jupyter notebook

Make sure you are running the correct kernel ("conda:ShallowWaterGPU"). If not, change kernel using the "Kernel"-menu in the notebook.

If you do not need to run notebooks you may use the conda environment found in conda_environment_hpc.yml

Troubleshooting

Have a look at the conda documentation and https://towardsdatascience.com/how-to-set-up-anaconda-and-jupyter-notebook-the-right-way-de3b7623ea4a

Setup on LUMI-G

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

Step 0: load modules

ml LUMI/23.03
ml lumi-container-wrapper
ml cray-python/3.9.13.1

Step 1: run conda-container

Installation via conda can be done as:

conda-containerize new --prefix MyCondaEnv conda_environment_lumi.yml

where the file conda_environment_lumi.yml contains packages to be installed.

Step 2: Set the env. variable to search for binaries

export the bin path: export PATH="$PWD/MyCondaEnv/bin:$PATH"

An alternative: Convert to a singularity container with cotainr

cotainr build my_container.sif --system=lumi-g --conda-env=conda_environment_lumi.yml

1.7 KiB Raw Blame History