127 citations · 355 across the 8 of their papers we have counts for
8 papers
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…
Extreme-Scale Block-Structured Adaptive Mesh Refinement
Florian Schornbaum, Ulrich Rüde
In this article, we present a novel approach for block-structured adaptive mesh refinement (AMR) that is suitable for extreme-scale parallelism. All data structures are designed su…
Extreme Scale-out SuperMUC Phase 2 - lessons learned
Nicolay Hammer, Ferdinand Jamitzky, Helmut Satzger +36
In spring 2015, the Leibniz Supercomputing Centre (Leibniz-Rechenzentrum, LRZ), installed their new Peta-Scale System SuperMUC Phase2. Selected users were invited for a 28 day extr…
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…
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…