Demo Data from VLDB 2026 / reviewers in the wild / expert
Florian Schornbaum
dblp:136/7960
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2
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
2 papers |
High-performance computing · 78% Parallel and multicore computing · 22% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
performance optimization at scale |
0.2 | 1 | 2015 | Massively parallel phase-field simulations for ternary eutectic directional solidification · SC 2015 |
High-performance computing › scientific computing systems
phase field simulation |
0.2 | 1 | 2015 | Massively parallel phase-field simulations for ternary eutectic directional solidification · SC 2015 |
High-performance computing
scientific computing systems |
0.2 | 1 | 2015 | Massively parallel phase-field simulations for ternary eutectic directional solidification · SC 2015 |
Parallel and multicore computing › data parallelism
SIMD vectorization |
0.2 | 1 | 2015 | Massively parallel phase-field simulations for ternary eutectic directional solidification · SC 2015 |
High-performance computing › scientific computing systems › computational fluid dynamics
lattice boltzmann method |
0.2 | 1 | 2013 | A framework for hybrid parallel flow simulations with a trillion cells in complex geometries · SC 2013 |
High-performance computing
scientific computing |
0.2 | 1 | 2013 | A framework for hybrid parallel flow simulations with a trillion cells in complex geometries · SC 2013 |
High-performance computing
supercomputing |
0.0 | 1 | 2013 | A framework for hybrid parallel flow simulations with a trillion cells in complex geometries · SC 2013 |
Methods — techniques the papers use, named apart from their topics
mesh-based data reduction · 0.2grand potential formulation · 0.2communication hiding · 0.2hybrid parallelization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Massively parallel phase-field simulations for ternary eutectic directional solidificationabstractMicrostructures forming during ternary eutectic directional solidification processes have significant influence on the macroscopic mechanical properties of metal alloys. For a realistic simulation, we use the well established thermodynamically consistent phase-field method and improve it with a new grand potential formulation to couple the concentration evolution. This extension is very compute intensive due to a temperature dependent diffusive concentration. We significantly extend previous simulations that have used simpler phase-field models or were performed on smaller domain sizes. The new method has been implemented within the massively parallel HPC framework waLBerla that is designed to exploit current supercomputers efficiently. We apply various optimization techniques, including buffering techniques, explicit SIMD kernel vectorization, and communication hiding. Simulations utilizing up to 262,144 cores have been run on three different supercomputing architectures and weak scalability results are shown. Additionally, a hierarchical, mesh-based data reduction strategy is developed to keep the I/O problem manageable at scale. Martin Bauer 0003, Johannes Hötzer, Marcus Jainta, Philipp Steinmetz, Marco Berghoff, Florian Schornbaum, Christian Godenschwager, Harald Köstler, Britta Nestler, Ulrich Rüde |
SC | 6 |
| 2013 | A framework for hybrid parallel flow simulations with a trillion cells in complex geometriesabstractwaLBerla is a massively parallel software framework for simulating complex flows with the lattice Boltzmann method (LBM). Performance and scalability results are presented for SuperMUC, the world's fastest x86-based supercomputer ranked number 6 on the Top500 list, and JUQUEEN, a Blue Gene/Q system ranked as number 5. Christian Godenschwager, Florian Schornbaum, Martin Bauer 0003, Harald Köstler, Ulrich Rüde |
SC | 2 |