Demo Data from EDBT 2026 / reviewers in the wild / expert
Jan Götz
dblp:03/7413
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2010
0000-0002-5416-7397ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
High-performance computing · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing › scientific computing systems
computational fluid dynamics |
0.1 | 1 | 2010 | Direct Numerical Simulation of Particulate Flows on 294912 Processor Cores · SC 2010 |
High-performance computing › scientific computing systems › computational fluid dynamics
lattice boltzmann method |
0.1 | 1 | 2010 | Direct Numerical Simulation of Particulate Flows on 294912 Processor Cores · SC 2010 |
High-performance computing › large-scale simulation
parallel scientific simulation |
0.1 | 1 | 2010 | Direct Numerical Simulation of Particulate Flows on 294912 Processor Cores · SC 2010 |
Methods — techniques the papers use, named apart from their topics
rigid body dynamics · 0.1lattice boltzmann method · 0.1collision detection · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Direct Numerical Simulation of Particulate Flows on 294912 Processor CoresabstractThis paper describes computational models for particle-laden flows based on a fully resolved fluid-structure interaction. The flow simulation uses the Lattice Boltzmann method, while the particles are handled by a rigid body dynamics algorithm. The particles can have individual non-spherical shapes, creating the need for a non-trivial collision detection and special contact models. An explicit coupling algorithm transfers momenta from the fluid to the particles in each time step, while the particles impose moving boundaries for the flow solver. All algorithms and their interaction are fully parallelized. Scaling experiments and a careful performance analysis are presented for up to 294912 processor cores of the Blue Gene at the Jülich Supercomputing center. The largest simulations involve 264 million particles that are coupled to a fluid which is simultaneously resolved by 150 billion cells for the Lattice Boltzmann method. The paper will conclude with a computational experiment for the segregation of suspensions of particles of different density, as an example of the many industrial applications that are enabled by this new methodology. Jan Götz, Klaus Iglberger, Markus Stürmer, Ulrich Rüde |
SC | 1 |
| 2010 | Coupling multibody dynamics and computational fluid dynamics on 8192 processor cores
Jan Götz, Klaus Iglberger, Christian Feichtinger, Stefan Donath, Ulrich Rüde |
Parallel Comput. | 1 |
| 2009 | Localized Parallel Algorithm for Bubble Coalescence in Free Surface Lattice-Boltzmann Method
Stefan Donath, Christian Feichtinger, Thomas Pohl, Jan Götz, Ulrich Rüde |
Euro-Par | 4 |