Installation
DOLFINx can be installed using various packages managers, run using containers, or built manually from source.
Spack is the recommended installation tool for high performance computers
Spack
See README.md for instructions.
Docker
A nightly Docker container is provided at https://hub.docker.com/r/dolfinx/dolfinx. The Dockerfile provides a definitive build recipe. See README.md for instructions.
Versioned Docker images will be provided in the future.
Debian/Ubuntu packages
The Debian/Ubuntu package is fenics-dolfinx. The Ubuntu PPA is at
https://launchpad.net/~fenics-packages/+archive/ubuntu/fenics and Debian
packages are at
https://packages.debian.org/search?keywords=python3%2Ddolfinx.
Conda
Under development
pip
Under development
Source
Installation of DOLFINx requires installation of the C++ core. Most users will also want the Python interface.
Dependencies
C++ core
Required
C++ compiler (supporting the C++17 standard)
Boost, with the following compiled Boost components
timer
CMake [build dependency]
UFCx [
ufcx.h, provided by FFCx]MPI
HDF5 (with MPI support enabled)
From ParMETIS, KaHIP or PT-SCOTCH, ParMETIS is recommended.
Optional
Python interface
Below are additional requirements for the Python interface.
Required
Python
FFCx, UFL and Basix (http://github.com/FEniCS/).
pybind11 (https://github.com/pybind/pybind11)
NumPy (http://www.numpy.org)
mpi4py
petsc4py
Suggested
pyvista (for plotting)
Numba
slepc4py
Building and installing
C++ core
The C++ core is built using CMake. Create a build directory in cpp/,
e.g. mkdir -p build/ and in the build run directory:
cmake ../
make install
To set the installation prefix:
cmake -DCMAKE_INSTALL_PREFIX=<my-install-path> ../
make install
Python
After installation of the C++ core, from the python/ directory the
Python interface can be installed using:
pip install .
Footnotes