Skip to content
GitLab
Projects
Groups
Snippets
/
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
Menu
Open sidebar
Amritanshu Verma
waLBerla
Commits
db86915e
Commit
db86915e
authored
Jan 07, 2021
by
Christoph Rettinger
Browse files
Update README.md
parent
3c9c1f59
Changes
1
Hide whitespace changes
Inline
Side-by-side
README.md
View file @
db86915e
# 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
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.
...
...
@@ -48,27 +48,28 @@ Many thanks go to waLBerla's [contributors](AUTHORS.txt)
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
,
-
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.
-
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
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*
.
-
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
*
.
-
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
## License
...
...
Write
Preview
Supports
Markdown
0%
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment