waLBerla is a massively parallel simulation framework. It contains efficient, hardware specific compute kernels to get optimal performance on today’s supercomputing architectures. waLBerla employs a block-structured partitioning of the simulation domain including support for grid refinement. These grid data structures make it easy to integrate various data parallel algorithms like Multigrid, CG, or phasefield models. waLBerla uses the lattice Boltzmann method (LBM), which is an alternative to classical Navier-Stokes solvers for computational fluid dynamics simulations. All of the common LBM collision models are implemented (SRT, TRT, MRT). Additionally, a coupling to the rigid body physics engine pe is available. waLBerla is written in C++, which allows for modular and portable software design without having to make any performance trade-offs.
Main developer: LSS @ FAU
An extensive list of publications is available here.