bempp-cl 0.4.0

The Bempp boundary element library

Bempp-cl

Bempp-cl is an open-source boundary element method library that can be used to assemble all the standard integral kernels for Laplace, Helmholtz, modified Helmholtz, and Maxwell problems. The library has a user-friendly Python interface that allows the user to use BEM to solve a variety of problems, including problems in electrostatics, acoustics and electromagnetics.

Bempp-cl began life as BEM++, and was a Python library with a C++ computational core. The ++ slowly changed into pp as functionality gradually moved from C++ to Python with only a few core routines remaining in C++. Bempp-cl is the culmination of efforts to fully move to Python. It is an almost complete rewrite of Bempp: the C++ core has been replaced by highly SIMD optimised just-in-time compiled OpenCL kernels, or alternatively, by just-in-time compiled Numba routines, which are automatically used on systems that do not provide OpenCL drivers. User visible functionality is strictly separated from the implementation of computational routines, making it easy to add other discretisation technologies in the future (e.g. future support for SYCL-based heterogeneous compute devices).

Installation

Bempp-cl can be installed from this repository by running:

python setup.py install

Full installation instuctions, including installation of dependencies, can be found at bempp.com/installation.html.

Documentation

Full documentation of Bempp can be found at bempp.com/documentation and in the Bempp Handbook. Automatically generated documentation of the Python API can be found on Read the Docs.

Testing

The functionality of the library can be tested by running:

python -m pytest test/unit

Larger validation tests that compare the output with the previous version of Bempp can be run with:

python -m pytest test/validation

Getting help

Errors in the library should be added to the GitHub issue tracker.

Questions about the library and its use can be asked on the Bempp Discourse.

Licence

Bempp-cl is licensed under an MIT licence. Full text of the licence can be found here.