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.

Binaries

See the README.md for instructions.

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++20 standard)

• Boost, with the following compiled Boost components

  • timer

• CMake [build dependency]

• xtensor

• pkg-config

• Basix

• pugixml

• UFCx [ufcx.h, provided by FFCx]

• MPI

• HDF5 (with MPI support enabled)

• PETSc 1

• At least one of ParMETIS 2, KaHIP or PT-SCOTCH 2

From ParMETIS, KaHIP or PT-SCOTCH, ParMETIS is recommended.

Optional

• ADIOS2 (additional parallel IO support)

• SLEPc (eigenvalue computations)

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

1

Its is recommended to configure with ParMETIS, PT-SCOTCH, MUMPS and Hypre using the --download-parmetis --download-ptscotch --download-suitesparse --download-mumps --download-hypre

2(1,2)

PETSc can download and configure and build these libraries.