Demo Data from EDBT 2026 / reviewers in the wild / expert
Edmund K. Miller
dblp:322/3341
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 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 · 67% Performance modeling and evaluation · 33% |
Topics — the 2 heaviest of 3, 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 | 1991 | Solving bigger problems-by decreasing the operation count and increasing the computation bandwidth · Proc. IEEE 1991 |
High-performance computing
scientific computing systems |
0.0 | 1 | 1991 | Solving bigger problems-by decreasing the operation count and increasing the computation bandwidth · Proc. IEEE 1991 |
Methods — techniques the papers use, named apart from their topics
integral equation method · 0.0differential-equation method · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Low-frequency computational electromagnetics for antenna analysisabstractAn overview of computational methods for modeling the low-frequency electromagnetic characteristics of antennas is given. Presented first is a brief analytical background that forms the basis for numerically solving low-frequency antenna problems using the method of moments. Next discussed are extensions to modeling perfectly conducting objects in free space, followed by a consideration of some computational issues that affect model accuracy, efficiency, and utility. A variety of representative applications is given to illustrate various aspects of modeling and capabilities that are currently available. A fairly extensive bibliography is included.> Edmund K. Miller, Gerald J. Burke |
Proc. IEEE | 1 |
| 1991 | Solving bigger problems-by decreasing the operation count and increasing the computation bandwidthabstractThe purpose is to illustrate the computational complexity of modeling large (in wavelengths) electromagnetic problems and to suggest some ways by which the computational requirements can be reduced. The author indicates that, despite the dramatic increase of 106 in throughput that has occurred between the UNIVAC-1 and the current CRAY-2, the impact on the ability to handle computations at ten times the original (temporal) frequency has shown only marginal improvements. This is because the required floating-point operation (FLOP) count for integral-equation (IE) and differential-equation (DE) models grows with frequency. f, as f/sup x/, where 3> Edmund K. Miller |
Proc. IEEE | 1 |