DOLFINx is the computational environment of FEniCSx and implements the FEniCS Problem Solving Environment in C++ and Python. DOLFINx is a new version of DOLFIN and is actively developed.
For questions about using DOLFINx, visit the FEniCS Discourse page or use the FEniCS Slack channel (use this link to sign up to the Slack channel).
Documentation can be viewed at https://docs.fenicsproject.org.
To build and install the C++ core, in the cpp/ directory, run:
mkdir build
cd build
cmake ..
make installTo install the Python interface, first install the C++ core, and then in
the python/ directory run:
pip install -r build-requirements.txt
pip install --check-build-dependencies --no-build-isolation .For detailed instructions, see https://docs.fenicsproject.org/dolfinx/main/python/installation.
Spack is recommended for building DOLFINx on HPC systems. To build the most recent release using Spack (assuming a bash-compatible shell):
git clone https://github.com/spack/spack.git
. ./spack/share/spack/setup-env.sh
spack env create fenicsx-env
spack env activate fenicsx-env
spack add fenics-dolfinx+adios2 py-fenics-dolfinx cflags="-O3" fflags="-O3"
spack installSee the Spack documentation for comprehensive instructions.
Recommendations
- macOS: conda.
- Linux: apt (Ubuntu/Debian), docker or conda. See also Spack.
- Windows: docker, or install WSL2 and use Ubuntu. conda packages in beta testing.
- High performance computers: Spack or from source, both using system-provided MPI.
To install the latest release of the Python interface, including pyvista for visualisation, using conda:
conda create -n fenicsx-env
conda activate fenicsx-env
conda install -c conda-forge fenics-dolfinx mpich pyvista # Linux and macOS
conda install -c conda-forge fenics-dolfinx pyvista pyamg # WindowsWindows only: Windows conda packages are currently in beta testing. PETSc and
petsc4py are not available on Windows; as an alternative we recommend using
pyamg following python/demo/demo_pyamg.py. Because FEniCS uses just-in-time
compilation it necessary to install Microsoft Visual
Studio.
conda is distributed with Anaconda and Miniconda. The recipe is hosted on conda-forge.
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The Ubuntu PPA provides FEniCSx packages. To install:
add-apt-repository ppa:fenics-packages/fenics
apt update
apt install fenicsxWhen a version of DOLFINx is released we aim to provide a package for the most recent LTS version of Ubuntu. All other versions are provided on a best-effort basis.
DOLFINx is included
with various
versions
of Debian. Install with apt-get install fenicsx.
To run a Docker image with the latest release of DOLFINx:
docker run -ti dolfinx/dolfinx:stableTo switch between real and complex builds of DOLFINx/PETSc.
source /usr/local/bin/dolfinx-complex-mode
source /usr/local/bin/dolfinx-real-modeA Jupyter Lab environment with the latest release of DOLFINx:
docker run --init -ti -p 8888:8888 dolfinx/lab:stable # Access at http://localhost:8888A Docker image with DOLFINx built nightly:
docker run -ti dolfinx/dolfinx:nightlyA development image with all of the dependencies required to build the latest release of the FEniCSx components:
docker run -ti dolfinx/dev-env:stableA development image with all of the dependencies required
to build the main branch of the FEniCSx components:
docker run -ti dolfinx/dev-env:currentThe Docker images support arm64 and amd64 architectures. For a full list of tags, including versioned images, see https://hub.docker.com/u/dolfinx
Information about how to contribute to DOLFINx can be found here.
DOLFINx is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
DOLFINx is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License along with DOLFINx. If not, see https://www.gnu.org/licenses/.