VLDB 2026 Research / reviewers in the wild / expert
Timothy C. Germann
dblp:27/4143
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-6813-238XORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 1 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 · 70% GPUs and heterogeneous computing · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
GPUs and heterogeneous computing
heterogeneous supercomputing |
0.1 | 1 | 2008 | 369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputer · SC 2008 |
High-performance computing › scientific computing systems
molecular dynamics simulation |
0.1 | 1 | 2008 | 369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputer · SC 2008 |
High-performance computing
scientific computing systems |
0.1 | 1 | 2008 | 369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputer · SC 2008 |
High-performance computing › large-scale simulation
parallel molecular dynamics |
0.0 | 1 | 2008 | 369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputer · SC 2008 |
Methods — techniques the papers use, named apart from their topics
lennard-jones potential · 0.1MPI · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | The basic matrix library (BML) for quantum chemistry
Nicolas Bock, Christian F. A. Negre, Susan M. Mniszewski, Jamaludin Mohd-Yusof, Bálint Aradi, Jean-Luc Fattebert, Daniel Osei-Kuffuor, Timothy C. Germann, Anders M. N. Niklasson |
J. Supercomput. | 8 |
| 2009 | 369 Tflop/s molecular dynamics simulations on the petaflop hybrid supercomputer 'Roadrunner'abstractAbstract We describe the implementation of a short‐range parallel molecular dynamics (MD) code, SPaSM, on the heterogeneous general‐purpose Roadrunner supercomputer. Each Roadrunner ‘TriBlade’ compute node consists of two AMD Opteron dual‐core microprocessors and four IBM PowerXCell 8i enhanced Cell microprocessors (each consisting of one PPU and eight SPU cores), so that there are four MPI ranks per node, each with one Opteron and one Cell. We will briefly describe the Roadrunner architecture and some of the initial hybrid programming approaches that have been taken, focusing on the SPaSM application as a case study. An initial ‘evolutionary’ port, in which the existing legacy code runs with minor modifications on the Opterons and the Cells are only used to compute interatomic forces, achieves roughly a 2× speedup over the unaccelerated code. On the other hand, our ‘revolutionary’ implementation adopts a Cell‐centric view, with data structures optimized for, and living on, the Cells. The Opterons are mainly used to direct inter‐rank communication and perform I/O‐heavy periodic analysis, visualization, and checkpointing tasks. The performance measured for our initial implementation of a standard Lennard–Jones pair potential benchmark reached a peak of 369 Tflop/s double‐precision floating‐point performance on the full Roadrunner system (27.7% of peak), nearly 10× faster than the unaccelerated (Opteron‐only) version. Copyright © 2009 John Wiley & Sons, Ltd. Timothy C. Germann, Kai Kadau, Sriram Swaminarayan |
Concurr. Comput. Pract. Exp. | 1 |
| 2008 | 369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputerabstractWe present timing and performance numbers for a short-range parallel molecular dynamics (MD) code, SPaSM, that has been rewritten for the heterogeneous Roadrunner supercomputer. Each Roadrunner compute node consists of two AMD Opteron dualcore microprocessors and four PowerXCell 8i enhanced Cell microprocessors, so that there are four MPI ranks per node, each with one Opteron and one Cell. The interatomic forces are computed on the Cells (each with one PPU and eight SPU cores), while the Opterons are used to direct inter-rank communication and perform I/O-heavy periodic analysis, visualization, and checkpointing tasks. The performance measured for our initial implementation of a standard Lennard-Jones pair potential benchmark reached a peak of 369 Tflop/s double-precision floating-point performance on the full Roadrunner system (27.7% of peak), corresponding to 124 MFlop/Watt/s at a price of approximately 3.69 MFlops/dollar. We demonstrate an initial target application, the jetting and ejection of material from a shocked surface. Sriram Swaminarayan, Kai Kadau, Timothy C. Germann, Gordon C. Fossum |
SC | 3 |