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Sridhar Vasudevan

dblp:34/1906 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 1988
—ORCID · none

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

Software engineering, systems software and programming languages · 2Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorTheory of computation · 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
2 papers
Parallel and multicore computing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
parallel programming models
0.011988
A Language and System for the Construction and Tuning of Parallel Programs · IEEE Trans. Software Eng. 1988
Parallel and multicore computing › parallel programming models and runtimes
parallel programming frameworks
0.011987
A System for Parallel Programming · ICSE 1987

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

monitoring data · 0.0high-level language primitives · 0.0
YearPublicationVenuePosition
1988 Heuristics for intermediate level road finding algorithms
Sridhar Vasudevan, Robert L. Cannon, James C. Bezdek, William L. Cameron
Comput. Vis. Graph. Image Process.1
1988 A Language and System for the Construction and Tuning of Parallel Programs
abstract
The programming of efficient parallel software typically requires extensive experimentation with program prototypes. To facilitate such experimentation, any programming system that supports rapid prototyping of parallel programs should provide high-level language primitives with which programs can be explicitly, statically, or dynamically tuned with respect to performance and reliability. Such language primitives should be able to refer conveniently to the information about the executing program and the parallel hardware required for tuning. Such information may include monitoring data about the current or previous program or even hints regarding appropriate tuning decisions. Language primitives and an associated programming system for program tuning are presented. The primitives and system have been implemented, and have been tested with several parallel applications on a network of Unix workstations.>
Karsten Schwan, Rajiv Ramnath, Sridhar Vasudevan, David M. Ogle
IEEE Trans. Software Eng.3
1987 A System for Parallel Programming
Karsten Schwan, Rajiv Ramnath, Sridhar Vasudevan, David M. Ogle
ICSE3
1982 Inner Loops in Flowgraphs and Code Optimization
Sridhar Vasudevan
Acta Informatica1