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Docker-svFSI

This Dockerfile will build svFSI executable from the most recent source code in the main repository. This procedure has been successfully tested on MacOS Big Sur, Ubuntu 18.04 and Windows 10 with WSL 2. Assuming you already have Docker installed, please follow the steps below to run svFSI.

  1. Build Docker image. In the current directory (Path_to_svFSI/Docker), run the following command.

    docker build -t svfsi-image .

    This may take a while. Afterwards, run the command docker images, and you should see svfsi-image.

  2. Download the examples.

    git clone https://github.com/SimVascular/svFSI-Tests

  3. Run the container in interactive mode.

    docker container run --cap-add=SYS_PTRACE -v "$PWD"/svFSI-Tests:/home/test/svFSI-Tests -it --rm --name svfsi-demo svfsi-image

    This will open a shell prompt and you can proceed as usual. Here, --cap-add=SYS_PTRACE fixes a known issue of running openmpi in Docker.

  4. Let's take 04-fluid/06-channel-flow-2D for example. In the shell prompt, run the following commands to generate the simulation results.

    cd svFSI-Tests/04-fluid/06-channel-flow-2D && \
mpiexec -n 4 svFSI ./svFSI_Taylor-Hood.inp

    The results will be stored in 4-procs in vtu format, and can be viewed with Paraview.

  5. After all tests are done, execute the following commands to exit the docker and delete the image.

    exit && \
docker rmi <IMAGE ID>

Known Issues

svFSI built with this Dockerfile won't work with any example that requires Trilinos. Trilinos takes too long to build within the Docker image, and we encourage any user that needs it to build svFSI from source. Please report any other issue through the GitHub page.