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

doi:10.1109/WHP.1992.664380

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

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings - Workshop on Heterogeneous Processing, WHP 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	13-22
Number of pages	10
ISBN (Electronic)	0818627026, 9780818627026
DOIs	https://doi.org/10.1109/WHP.1992.664380
Publication status	Published - 1992
Event	1992 Workshop on Heterogeneous Processing, WHP 1992 - Beverly Hills, United States Duration: 1992 Mar 23 → …

Publication series

Name	Proceedings - Workshop on Heterogeneous Processing, WHP 1992

Conference

Conference	1992 Workshop on Heterogeneous Processing, WHP 1992
Country/Territory	United States
City	Beverly Hills
Period	92/3/23 → …

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

Access to Document

10.1109/WHP.1992.664380

Cite this

Wang, M. C., Kim, S. D., Nichols, M. A., Freund, R. F., Siegel, H. J., & Nation, W. G. (1992). Augmenting the optimal selection theory for superconcurrency. In Proceedings - Workshop on Heterogeneous Processing, WHP 1992 (pp. 13-22). Article 664380 (Proceedings - Workshop on Heterogeneous Processing, WHP 1992). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WHP.1992.664380

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title = "Augmenting the optimal selection theory for superconcurrency",

abstract = "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.",

author = "Wang, {Mu Cheng} and Kim, {Shin Dug} and Nichols, {Mark A.} and Freund, {Richard F.} and Siegel, {Howard Jay} and Nation, {Wayne G.}",

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: {\textcopyright} 1992 IEEE.; 1992 Workshop on Heterogeneous Processing, WHP 1992 ; Conference date: 23-03-1992",

year = "1992",

doi = "10.1109/WHP.1992.664380",

language = "English",

series = "Proceedings - Workshop on Heterogeneous Processing, WHP 1992",

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Wang, MC, Kim, SD, Nichols, MA, Freund, RF, Siegel, HJ & Nation, WG 1992, Augmenting the optimal selection theory for superconcurrency. in Proceedings - Workshop on Heterogeneous Processing, WHP 1992., 664380, Proceedings - Workshop on Heterogeneous Processing, WHP 1992, Institute of Electrical and Electronics Engineers Inc., pp. 13-22, 1992 Workshop on Heterogeneous Processing, WHP 1992, Beverly Hills, United States, 92/3/23. https://doi.org/10.1109/WHP.1992.664380

Augmenting the optimal selection theory for superconcurrency. / Wang, Mu Cheng; Kim, Shin Dug; Nichols, Mark A. et al.
Proceedings - Workshop on Heterogeneous Processing, WHP 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 13-22 664380 (Proceedings - Workshop on Heterogeneous Processing, WHP 1992).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Augmenting the optimal selection theory for superconcurrency

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