activity
20152019
most citedwaLBerla: A block-structured high-performance framework for multiphysics simulations

126 citations · 179 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2019★ 126 cited

waLBerla: A block-structured high-performance framework for multiphysics simulations

Martin Bauer, Sebastian Eibl, Christian Godenschwager +8

Programming current supercomputers efficiently is a challenging task. Multiple levels of parallelism on the core, on the compute node, and between nodes need to be exploited to mak…

cs.DC2017

A Scalable and Extensible Checkpointing Scheme for Massively Parallel Simulations

Nils Kohl, Johannes Hötzer, Florian Schornbaum +5

Realistic simulations in engineering or in the materials sciences can consume enormous computing resources and thus require the use of massively parallel supercomputers. The probab…

cond-mat.soft2016★ 28 cited

Moving Charged Particles in Lattice Boltzmann-Based Electrokinetics

Michael Kuron, Georg Rempfer, Florian Schornbaum +4

The motion of ionic solutes and charged particles under the influence of an electric field and the ensuing hydrodynamic flow of the underlying solvent is ubiquitous in aqueous coll…

cs.DC2015★ 12 cited

A Python Extension for the Massively Parallel Multiphysics Simulation Framework waLBerla

Martin Bauer, Florian Schornbaum, Christian Godenschwager +4

We present a Python extension to the massively parallel HPC simulation toolkit waLBerla. waLBerla is a framework for stencil based algorithms operating on block-structured grids, w…

cs.DC2015★ 13 cited

Massively Parallel Phase-Field Simulations for Ternary Eutectic Directional Solidification

Martin Bauer, Johannes Hötzer, Philipp Steinmetz +7

Microstructures forming during ternary eutectic directional solidification processes have significant influence on the macroscopic mechanical properties of metal alloys. For a real…