Detailed instructions for supported HPC platforms may be found at docs/install_guides. You may also find useful usage information (on docker/hpc/compilation/other) on the Underworld blog.
We welcome feedback and support requests at our github issue tracker.
- cmake >= 3.16
- MPICH or OPENMPI
- PETSc (<= 3.16.1)
- SWIG (>= 4.0)
- LibXML (>= 2.0)
- Python (>3.5, <= 3.9.9)
h5py: The standard h5py (installed via pip) is the recommended version for desktop usage. However, note that it will be the non-parallel enabled version, and for large parallel simulations saving/reading data may become a bottleneck, and collective IO via MPI-enabled h5py is recommended. The following command may be useful for installed MPI-enabled h5py where necessary:
CC=mpicc HDF5_MPI="ON" HDF5_DIR=/path/to/your/hdf5/install/ pip install --no-binary=h5py h5py
or alternatively you might use CC=h5pcc (if available). Note that you will also need to have a parallel HDF5 library installed. Please check the h5py site for more information. Underworld will automatically perform save()/load() operations collectively if MPI-enabled hdf5 is available.
lavavu: For rendering of visualisations, you will also need to install lavavu (via pip). Please check the lavavu page for further installation instructions.
You can install Underworld using pip as follows:
pip install underworld2
or using our GitHub repository:
pip install -v git+https://github.com/underworldcode/underworld2
Simple tests can be run to check your installation. They will require you to install pytest (usually via pip). Note that some tests also require matplotlib
pytest -vvv ./docs/pytests
Docker is a type of lightweight virtualisation, and is the preferred method for Underworld usage on personal computers. You will first need to install Docker on your system (see Notes on Installing Docker) and then you may install Underworld via Docker. Docker can be driven from the command line, but new users may wish to use the Docker Kitematic GUI instead for ease. Simply search for ‘underworldcode/underworld2’ within Kitematic, and then click ‘CREATE’ to launch a container. You will eventually wish to modify your container settings (again through Kitematic) to enable local folder volume mapping, which will allow you to access your local drives from within your container.
For Linux users, and those who prefer the command line, the following minimal command should be sufficient to access the Underworld2 Jupyter Notebook examples:
docker run -p 8888:8888 underworldcode/underworld2
Navigate to localhost:8888 to see the notebooks. Note that you can also use particular versions of Underworld using any of the Docker image tags. For example:
docker run -p 8888:8888 underworldcode/underworld2:2.7.1b
By default (ie, if no tag is provided), docker will use the latest stable release. A list of available tags may be found on our DockerHub page. Tags can also be accessed in Kitematic via the ellipsis button on container search results.
A number of useful docker commands are provided within the Underworld cheat-sheet.
Notes on Installing Docker¶
Linux users should be able to install docker using the distribution’s standard package manager.
Windows users should note that for Windows 10 Home you should install Docker Toolbox, while for Windows 10 Professional you should install Docker Desktop.
All users on Apple OS X should use Docker Desktop (not Docker Toolbox). The Docker Toolbox edition utilised VirtualBox for virtualisation, and therefore to access any running Jupyter servers you must browse to the virtual machine address (instead of localhost). To find the VM address, you will generally execute
docker-machine ip default
but note that this will only work correctly from the Docker Quickstart Terminal.