Marshall P. Cline

dblp:324/7815 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 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 · 33% Processor architecture and microarchitecture · 33% GPUs and heterogeneous computing · 33%
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
High-performance computing › large-scale simulation
massively parallel simulation
0.011991
Massively parallel computational simulations in light scattering · Proc. IEEE 1991
GPUs and heterogeneous computing
ray tracing
0.011991
Massively parallel computational simulations in light scattering · Proc. IEEE 1991
Processor architecture and microarchitecture
SIMD
0.011991
Massively parallel computational simulations in light scattering · Proc. IEEE 1991
Computational science and engineering › numerical simulation
monte carlo simulation
0.011991
Massively parallel computational simulations in light scattering · Proc. IEEE 1991

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

monte carlo · 0.0SIMD parallelism · 0.0
YearPublicationVenuePosition
1991 Massively parallel computational simulations in light scattering
abstract
Described is the Connection Machine, a massively parallel SIMD (single instruction multiple data) computer of 64K processors, used to simulate optical scattering and absorption phenomena where the scattering objects are much larger than the wavelength of the incident light. One processor of the connection machine is assigned to an individual incident ray. The processor tracks the ray through the object system noting the multiple reflections and refractions which occur. The results calculated are the vectors of the outgoing rays which are leaving the object system environment. As each of the interactions of each incident ray are independent of those of all other rays, 64K incident rays can be tracked at a time. The classic communication bottleneck between processors on SIMD machines is nonexistent in this case. Using a stochastic approach, a Monte Carlo technique is used whereby each ray is either reflected or refracted based on probabilities. The object is represented by a collection of small facets enabling almost any shaped object or objects to be modeled from any orientation. The limit on the complexity of the object system is limited only by the size of the host memory of the Connection Machine. The algorithm is such that it runs in linear time to the number of facets which are used to represent the system.>
David J. Potter, Marshall P. Cline
Proc. IEEE2