EDBT 2026 Demo / reviewers in the wild / expert

Ron Choy

dblp:203/3562 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 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
Parallel and multicore computing · 87% High-performance computing · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
parallel programming environment		 0.112005
Parallel MATLAB: Doing it Right · Proc. IEEE 2005
Parallel and multicore computing
parallel programming models		 0.112005
Parallel MATLAB: Doing it Right · Proc. IEEE 2005
High-performance computing
scientific computing systems		 0.012005
Parallel MATLAB: Doing it Right · Proc. IEEE 2005

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

scripting language · 0.1parallelization · 0.1
YearPublicationVenuePosition
2005 Parallel MATLAB: Doing it Right
abstract
MATLAB is one of the most widely used mathematical computing environments in technical computing. It is an interactive environment that provides high-performance computational routines and an easy-to-use, C-like scripting language. It started out as an interactive interface to EISPACK and LINPACK and has remained a serial program. In 1995, C. Moler of Mathworks argued that there was no market at the time for a parallel MATLAB. But times have changed and we are seeing increasing interest in developing a parallel MATLAB, from both academic and commercial sectors. In a recent survey, 27 parallel MATLAB projects have been identified. We expand upon that survey and discuss the approaches the projects have taken to parallelize MATLAB. Also, we describe innovative features in some of the parallel MATLAB projects. Then we will conclude with an idea of a "right" parallel MATLAB. Finally we will give an example of what we think is a "right" parallel MATLAB: MATLAB*P.
Ron Choy, Alan Edelman
 Proc. IEEE1