waLBerla (widely applicable Lattice Boltzmann from Erlangen) is a massively parallel framework for multi physics applications. Besides its original objective, Lattice Boltzmann solvers for hydrodynamics, it now contains modules for other applications like Multigrid and rigid body dynamics as well. Great emphasis is placed on the interoperability between the modules in particular the fluid-particle coupling. It scales from laptops to current and future supercomputers while maintaining near-perfect efficiency.

See https://www.walberla.net/ for more information and a showcase of applications.

Documentation for the C++ framework is available in Doxygen, while the Python interface is documented in Sphinx.

The minimum requirements are a C++17-compliant compiler (e.g. GCC or Clang) and the CMake build system. Furthermore, you need an MPI library (like Open MPI) if you want to make use of parallel processing capabilities. All of these dependencies are typically available in your operating system's package manager.

Please submit all code contributions on our GitLab. To get an account, please sign and submit the contributor license agreement.

While we currently do not have a mailing list, any questions can be asked via the Issue Tracker.

Many thanks go to waLBerla's contributors

If you use waLBerla in a publication, please cite the following articles:

Overview:

• M. Bauer et al, waLBerla: A block-structured high-performance framework for multiphysics simulations. Computers & Mathematics with Applications, 2020. https://doi.org/10.1016/j.camwa.2020.01.007.

Grid Refinement:

• F. Schornbaum and U. Rüde, Massively parallel algorithms for the lattice boltzmann method on nonuniform grids. SIAM Journal on Scientific Computing, 2016. https://doi.org/10.1137/15M1035240

LBM - Particle Coupling:

• C. Rettinger and U. Rüde, A comparative study of fluid-particle coupling methods for fully resolved lattice Boltzmann simulations. Computers & Fluids, 2017. https://doi.org/10.1016/j.compfluid.2017.05.033

MESA-PD:

• S. Eibl and U. Rüde, A Modular and Extensible Software Architecture for Particle Dynamics. Proceedings Of The 8Th International Conference On Discrete Element Methods. https://mercurylab.co.uk/dem8/full-papers/#page-content

Carbon Nanotubes:

• G. Drozdov et al, Densification of single-walled carbon nanotube films: Mesoscopic distinct element method simulations and experimental validation. Journal of Applied Physics, 2020. https://doi.org/10.1063/5.0025505

waLBerla is licensed under GPLv3.