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Edmund K. Miller

dblp:322/3341 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
High-performance computing › scientific computing
computational electromagnetics
0.011991
Solving bigger problems-by decreasing the operation count and increasing the computation bandwidth · Proc. IEEE 1991
High-performance computing
scientific computing systems
0.011991
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
YearPublicationVenuePosition
1992 Low-frequency computational electromagnetics for antenna analysis
abstract
An 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. IEEE1
1991 Solving bigger problems-by decreasing the operation count and increasing the computation bandwidth
abstract
The 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. IEEE1