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Martin C. Wei

dblp:19/5767 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1982
—ORCID · none

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

Systems, architecture and hardware · 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% Performance modeling and evaluation · 13%

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

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallel programming models › automatic parallelization
parallelism extraction
0.011982
An Expression Model for Extraction and Evaluation of Parallelism in Control Structures · IEEE Trans. Computers 1982
Parallel and multicore computing
parallel programming models
0.011982
An Expression Model for Extraction and Evaluation of Parallelism in Control Structures · IEEE Trans. Computers 1982
Performance modeling and evaluation › performance prediction
parallel program performance prediction
0.011982
An Expression Model for Extraction and Evaluation of Parallelism in Control Structures · IEEE Trans. Computers 1982

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

computation structures model · 0.0
YearPublicationVenuePosition
1982 An Expression Model for Extraction and Evaluation of Parallelism in Control Structures
abstract
In the last few years advancements in VLSI technology have brought about practical research consideration of distributed computer system applications. A significant question is, "What potential improvements may be expected in an algorithm when its control structure is altered to maximize its internal parallelism?" This paper develops a general model for this area based on computation structures, defines algorithms to extract parallelism, and examines an experimental test set of programs in PL/1 to assess their potential performance improvement in expected execution time.
Martin C. Wei, Howard A. Sholl
IEEE Trans. Computers1