126 citations · 179 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…