Augmenting the optimal selection theory for superconcurrency

Mu Cheng Wang, Shin Dug Kim, Mark A. Nichols, Richard F. Freund, Howard Jay Siegel, Wayne G. Nation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Citations (Scopus)


An approach for finding the optimal configuration of heterogeneous computer systems to solve super computing problems is presented. Superconcurrency as a form of distributed heterogeneous supercomputing is an approach for matching and managing an optimally configured suite of super-speed machines to minimize the execution time on a given task. The approach performs best when the computational requirements for a given set of tasks are diverse. A supercomputing application task is decomposed into a collection of code segments, where the processing requirement is homogeneous in each code segment. The optimal selection theory has been proposed to choose the optimal configuration of machines for a supercomputing problem. This technique is based on code profiling and analytical benchmarking. Here, the previously presented optimal selection theory approach is augmented in two ways: the performance of code segments on non-optimal machine choices is incorporated and non-uniform decompositions of code segments are considered.

Original languageEnglish
Title of host publicationProceedings - Workshop on Heterogeneous Processing, WHP 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages10
ISBN (Electronic)0818627026, 9780818627026
Publication statusPublished - 1992
Event1992 Workshop on Heterogeneous Processing, WHP 1992 - Beverly Hills, United States
Duration: 1992 Mar 23 → …

Publication series

NameProceedings - Workshop on Heterogeneous Processing, WHP 1992


Conference1992 Workshop on Heterogeneous Processing, WHP 1992
Country/TerritoryUnited States
CityBeverly Hills
Period92/3/23 → …

Bibliographical note

Funding Information:
This research was supported by the Naval Ocean Systems Center under the High Performance Computing Block, ONT, and by the Office of Naval Research under grant number N00014-90-J-1937.

Publisher Copyright:
© 1992 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture


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