The FEniCS Project is designed as an umbrella project for a collection of interoperable components. The core components are[4]
A schematic overview of the FEniCS components and their interplay
UFL (unified form language), a domain-specific language embedded in Python for specifying finite element discretizations of differential equations in terms of finite element variational forms;
FIAT (finite element automatic tabulator), the finite element backend of FEniCS, a Python module for generation of arbitrary order finite element basis functions on simplices;
FFC (fenics form compiler), a compiler for finite element variational forms taking UFL code as input and generating UFC output;
UFC (unified form-assembly code), a C++ interface consisting of low-level functions for evaluating and assembling finite element variational forms;
Instant, a Python module for inlining C and C++ code in Python;
DOLFIN, a C++/Python library providing data structures and algorithms for finite element meshes, automated finite element assembly, and numerical linear algebra.
DOLFIN, the computational high-performance C++ backend of FEniCS, functions as the main problem-solving environment (in both C++ and Python) and user interface. Its functionality integrates the other FEniCS components and handles communication with external libraries such as PETSc, Trilinos and Eigen for numerical linear algebra, ParMETIS and SCOTCH for mesh partitioning, and MPI and OpenMP for distributed computing.
As of May 2022, DOLFINx is the recommended user-interface of the FEniCS project.[5]
The FEniCS Project was initiated in 2003 as a research collaboration between the University of Chicago and Chalmers University of Technology. The following institutions are currently, or have been, actively involved in the development of the project
Since 2019, the core components of the FEniCS project have received a major refactoring.[7] resulting in DOLFINx.[8] DOLFINx supports many new features not available in the old DOLFIN interface, including:
Arbitrary degree finite elements on interval, triangle, quadrilateral, tetrahedral and hexahedral cells, including unstructured meshes without special ordering;
Meshes with flat or curved cells;
Custom partitioning of cells across multiple processes;
^Anders Logg; Kent-Andre Mardal; Garth N. Wells, eds. (2011). Automated Solution of Differential Equations by the Finite Element Method. Springer. ISBN978-3-642-23098-1.
