Demo Data from EDBT 2026 / reviewers in the wild / expert
Anthony Q. Martin
dblp:34/1008
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1999
—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 › scientific computing
computational electromagnetics |
0.0 | 1 | 1999 | Spatially Decomposed Multigrain MOM Problems on NOWs · HPDC 1999 |
High-performance computing
parallel numerical algorithms |
0.0 | 1 | 1999 | Spatially Decomposed Multigrain MOM Problems on NOWs · HPDC 1999 |
High-performance computing
scientific computing systems |
0.0 | 1 | 1999 | Spatially Decomposed Multigrain MOM Problems on NOWs · HPDC 1999 |
High-performance computing › cluster computing
network of workstations |
0.0 | 1 | 1999 | Spatially Decomposed Multigrain MOM Problems on NOWs · HPDC 1999 |
Methods — techniques the papers use, named apart from their topics
reduced current fidelity · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Spatially Decomposed Multigrain MOM Problems on NOWsabstractIntegral equations solved by the method of moments (MOM) are an important and computationally intense class of problems in antenna design and other areas of electromagnetics. Particularly when structures become electrically large, MOM solutions become intractable as they lead to large, densely-filled, complex matrices, the solution of which is numerically and computationally intensive. Several numerical techniques have been applied to make these solutions more tractable, notably spatial decomposition and a multigrain method known as reduced current fidelity. This paper investigates the impact of these techniques on parallel computing approaches to solving this class of problem, using networks of workstations (NOWs). The resulting effects on the efficiency and communication patterns of the parallel programs are explored. Walter B. Ligon III, Anthony Q. Martin, Daniel C. Stanzione Jr. |
HPDC | 2 |