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M. R. Strayer

dblp:61/2708 · 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 · 33% Parallel and multicore computing · 33% Hardware accelerators and domain-specific architectures · 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
Parallel and multicore computing › parallel architecture
distributed-memory parallel computing
0.011993
The quantum structure of matter grand challenge project: large-scale 3-D solutions in relativistic quantum dynamics · SC 1993
Hardware accelerators and domain-specific architectures
matrix-vector multiplication
0.011993
The quantum structure of matter grand challenge project: large-scale 3-D solutions in relativistic quantum dynamics · SC 1993
High-performance computing
scientific computing systems
0.011993
The quantum structure of matter grand challenge project: large-scale 3-D solutions in relativistic quantum dynamics · SC 1993
Computational science and engineering
numerical analysis
0.011993
The quantum structure of matter grand challenge project: large-scale 3-D solutions in relativistic quantum dynamics · SC 1993

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

parallel matrix-vector operations · 0.0lattice basis-spline collocation · 0.0
YearPublicationVenuePosition
1993 The quantum structure of matter grand challenge project: large-scale 3-D solutions in relativistic quantum dynamics
abstract
The numerical methods used to solve the time-dependent Dirac equation on a three-dimensional Cartesian lattice are described. Efficient algorithms are required for computationally intensive studies of nonperturbative relativistic quantum dynamics. Discretization is achieved through the lattice basis-spline collocation method, in which quantum-state vectors and coordinate-space operators are expressed in terms of basis-spline functions on a spatial lattice. All numerical procedures reduce to a series of matrix-vector operations which are performed on the Intel iPSC/860 hypercube, making full use of parallelism. Solutions to the problems of limited node memory and node-to-node communication overhead inherent in using distributed-memory, multiple-instruction, multiple-data stream parallel computers are discussed.
Jack C. Wells, Volker E. Oberacker, A. Sait Umar, C. Bottcher, M. R. Strayer, John B. Drake, R. Flanery
SC5