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Marhall P. Cline

dblp:70/2097 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1990
—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
Performance modeling and evaluation · 62% Parallel and multicore computing · 38%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

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

TopicWeightPapersLastEvidence papers
Computational science and engineering
computational physics
0.011990
Massively parallel computational methods in light scattering by small particles · SC 1990
Performance modeling and evaluation › simulation › parallel and distributed simulation
parallel simulation
0.011990
Massively parallel computational methods in light scattering by small particles · SC 1990
Parallel and multicore computing › array processor
connection machine
0.011990
Massively parallel computational methods in light scattering by small particles · SC 1990
Parallel and multicore computing › parallel architecture
massively parallel architecture
0.011990
Massively parallel computational methods in light scattering by small particles · SC 1990

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

monte carlo method · 0.0geometrical optics · 0.0data parallelism · 0.0
YearPublicationVenuePosition
1990 Massively parallel computational methods in light scattering by small particles
abstract
Algorithms suitable for use on parallel computers are being developed to simulate the scattering and absorption of light by small penetrable objects such as ice crystals and biological cells. The solution of the problem is based on a geometrical optics approach. Each incident ray undergoes multiple reflections and refractions as it travels through the scattering object. Data parallel algorithms have been developed which assign one processor to each incident ray. A massively parallel architecture consisting of 64 K processors (the Connection Machine) is being used. This means that the scattering calculations for over 65000 rays can be carried out simultaneously. Using a stochastic approach, a Monte Carlo technique is used whereby each ray is either reflected or refracted based on probabilities.>
David J. Potter, Marhall P. Cline
SC2