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# waLBerla

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.

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

Documentation for the C++ framework is available in
[Doxygen](http://walberla.net/doxygen/index.html), while the Python interface
is documented in [Sphinx](http://walberla.net/sphinx/index.html).

## Getting started

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

## Get involved

### Contributing

Please submit all code contributions on our
[GitLab](https://i10git.cs.fau.de/walberla/walberla). To get an account, please
sign and submit the [contributor license agreement](CONTRIBUTING.txt).

### Support

While we currently do not have a mailing list, any questions can be asked via
the [Issue Tracker](https://i10git.cs.fau.de/walberla/walberla/issues).

## Authors

Many thanks go to waLBerla's [contributors](AUTHORS.txt)

### Please cite us

Michael Kuron's avatar
Michael Kuron committed
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If you use waLBerla in a publication, please cite the following articles:
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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 - Particles Coupling:
  - C. Rettinger and U. Rüde, *Dynamic load balancing techniques for particulate flow simulations*. 
    Computation, 2019. https://doi.org/10.3390/computation7010009
    
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
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## License

waLBerla is licensed under [GPLv3](COPYING.txt).