EFFECT OF APPLICATION CHARACTERISTICS ON PERFORMANCE IN A PARALLEL ARCHITECTURE.

Adolfo Guzman, Edward J. Krall, Patrick F. McGehearty, Nader Bagherzadeh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A shared-memory, hierarchical, clustered architecture is reported. Measurements presented (including speedups) were obtained by running six different symbolic application kernels with varying architectural parameters. The results and graphs shown highlight the manner in which application characteristics place limits on achievable parallel performance, given particular architectural features. The discussion covers processor starvation, fine-grain parallelism, uneven loads, foreign reference, cost scheduling, and indeterminate computation with respect to the applications chosen. These measurements provide understanding of some of the interactions that take place between the architectural parameters and the specific applications and suggest ways to improve the architecture. To date the architecture has shown reasonable speedups on the chosen applications.

Original languageEnglish
Title of host publicationProceedings of the Hawaii International Conference on System Science
PublisherIEEE
Pages167-173
Number of pages7
ISBN (Print)0818608412, 9780818608414
DOIs
StatePublished - 1988
Externally publishedYes

Publication series

NameProceedings of the Hawaii International Conference on System Science
ISSN (Print)0073-1129

Fingerprint

Dive into the research topics of 'EFFECT OF APPLICATION CHARACTERISTICS ON PERFORMANCE IN A PARALLEL ARCHITECTURE.'. Together they form a unique fingerprint.

Cite this