OpenLB. OpenLB is an object-oriented implementation of the lattice Boltzmann methods (LBM). It is the first implementation of a generic platform for LBM programming, which is shared with the open source community (GPLv2).
The code is written in C++ and is used by application programmers as well as developers, with the ability to implement custom models
OpenLB supports complex data structures that allow simulations in complex geometries and parallel execution using MPI, OpenMP and CUDA on high-performance computers.
The source code uses the concepts of interfaces and templates, so that efficient, direct and intuitive implementations of the LBM become possible.
The efficiency and scalability has been checked and proved by code reviews.
A user manual and a source code documentation by DoxyGen are available on the project page.

Functions 
OpenLB is being constantly developed. By now the following features are implemented:
 Computational fluid dynamics in complex geometry
 Automatic generation of a grid
 Turbulent flow
 Multi-component flow
 Thermal flow
 Light radiation
 Topology optimizing
 Particle flow (Euler–Euler and Euler–Lagrange method)

Automated grid generation 
Automated grid generation is one of the great advantages of OpenLB over other CFD software packages. The main advantages are listed below:
 
 Use of geometries in the STL file format or geometrically primitive forms (e.g. ball, cylinder, cone) and their union, intersection and difference
 Very fast voxelization: 6003 ~ 1 minute
 Handling non-watertight surfaces
 Memory-friendly using octrees
 Load distribution for parallel execution with MPI, OpenMP and CUDA.
 
The automatic grid generation can assume both an STL file as well as primitive geometries. For the geometry, a uniform and rectangular grid is created which encloses the entire space of the geometry. The superfluous grid cells are then removed and the remaining cuboids are shrunk to fit the given geometry. Finally, the grid is distributed to different threads or processors for the parallel execution of the simulation. The boundary conditions and start values can be set using material numbers.

Literature 
 Krause, Mathias J. and Latt, Jonas and Heuveline, Vincent. "Towards a hybrid parallelization of lattice Boltzmann methods." Computers & Mathematics with Applications 58.5 (2009): 1071–1080.
 Heuveline, Vincent, and Mathias J. Krause. "OpenLB: towards an efficient parallel open source library for lattice Boltzmann fluid flow simulations." International Workshop on State-of-the-Art in Scientific and Parallel Computing. PARA. Vol. 9. 2010.
 Krause, Mathias J., Thomas Gengenbach, and Vincent Heuveline. "Hybrid parallel simulations of fluid flows in complex geometries: Application to the human lungs." European Conference on Parallel Processing. Springer Berlin Heidelberg, 2010.
 Krause, Mathias J. "Fluid flow simulation and optimisation with lattice Boltzmann methods on high performance computers: application to the human respiratory system." Karlsruhe Institute of Technology, KIT (2010).
 Trunk, Robin, et al. "Inertial dilute particulate fluid flow simulations with an Euler–Euler lattice Boltzmann method." Journal of Computational Science (2016).
 Mink, Albert, et al. "A 3D Lattice Boltzmann method for light simulation in participating media." Journal of Computational Science (2016).

Awards 
 Winner Mimics Innovation Award (2011)
 Honorary certificate in the Group Humanitarian Impact, "Itanium® Solutions Alliance Innovation Awards" (2009)
 Finalist in the Group Humanitarian Impact Innovation, "Itanium® Solutions Alliance Innovation Awards" (2007)

References

External links 
 Official website
 Dynamic Cross Flow Filtration with OpenLB (YouTube Video)
 OpenLB Trailer (YouTube Video)

C++ software
Computational fluid dynamics
Computer-aided engineering software for Linux
Continuum mechanics
Free science software
Free software programmed in C++
Open Source computer aided engineering applications
Scientific simulation software