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Robert C. Sharpley

dblp:33/2303 · also Robert Caldwell Sharpley · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1993
—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 · 67% Electronic design automation · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › cluster computing
network of workstations		 0.011993
Distributed computation of wave propagation models using PVM · SC 1993
Electronic design automation › yield analysis
process variation modeling		 0.011993
Distributed computation of wave propagation models using PVM · SC 1993
High-performance computing
wave propagation simulation		 0.011993
Distributed computation of wave propagation models using PVM · SC 1993
Environmental and earth informatics › geophysics
seismic wave simulation		 0.011993
Distributed computation of wave propagation models using PVM · SC 1993

Methods — techniques the papers use, named apart from their topics

parallel processing · 0.0PVM · 0.0
YearPublicationVenuePosition
1993 Distributed computation of wave propagation models using PVM
abstract
P Vh4 is an inexpensive, but extremely effective tool which allows a researcher to use workstations as nodes in a parallel processing environment to perform largescale computations.The numerical approximation and visualization of seismic waves propagating in the earth strains today's largest supercomputers.We present timings and visualization for large earth models run on a ring of IBM RS/6000's which illustrate P VM'S capability of handling large-scale problems.We will show that PVM can effectively compete with traditional supercomputers.Any researcher with accounts on UNIX-based workstations can corral unused CPU cycles to solve large-scale problems.
Richard E. Ewing, Robert C. Sharpley, Derek Mitchum, Patrick O'Leary, James S. Sochacki
 SC2