EDBT 2026 Demo / reviewers in the wild / expert
Carleton DeTar
dblp:54/2238
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
code optimization |
0.0 | 1 | 1995 | Lattice QCD on the IBM Scalable POWERParallel Systems SP2 · SC 1995 |
High-performance computing › scientific computing systems
lattice quantum chromodynamics |
0.0 | 1 | 1995 | Lattice QCD on the IBM Scalable POWERParallel Systems SP2 · SC 1995 |
High-performance computing
performance optimization at scale |
0.0 | 1 | 1995 | Lattice QCD on the IBM Scalable POWERParallel Systems SP2 · SC 1995 |
High-performance computing
scientific computing systems |
0.0 | 1 | 1995 | Lattice QCD on the IBM Scalable POWERParallel Systems SP2 · SC 1995 |
Methods — techniques the papers use, named apart from their topics
sparse system inversion · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Lattice QCD on the IBM Scalable POWERParallel Systems SP2abstractA 512 node IBM Scalable POWERParallel Systems SP2 was installed at the Cornell Theory Center in October 1994. During the past couple of months we have been porting and optimizing code for carrying out lattice QCD calculations. Present performance is far from ideal, however, and optimization efforts are still under way. The rate limiting step in our code involves a rather generic inversion of a large, sparse system, based on a partial differential equation in a multidimensional space. The insights we have gained so far may be useful in diagnosing performance in a wide class of applications. Claude Bernard, Carleton DeTar, Steven A. Gottlieb, Urs M. Heller, James E. Hetrick, Naruhito Ishizuka, Leo Kärkkäinen, Steven R. Lantz, Kari Rummukainen, Robert L. Sugar, Doug Toussaint, Matthew Wingate |
SC | 2 |