Managing the bottlenecks in parallel Gauss-Seidel type algorithms for power flow analysis

Garng Morton Huang, W. Ongsakul

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

5 Citations (Scopus)

Abstract

In our earlier papers, the parallelization and implementations of Gauss-Seidel (G-S) algorithms for power flow analysis have been investigated on a Sequent Balance shared memory (SM) machine. In this paper, we generalize the idea to more general computer architectures and demonstrate how to effectively increase the speedup upper bounds of G-S algorithms by properly managing the bottlenecks on both Sequent Balance SM and nCUBE2 distributed memory (DM) machines. We propose a new synchronization scheme which can reduce the synchronization overhead on the Sequent Balance Machine.

Original languageEnglish
Title of host publication1993 IEEE Power Industry Computer Applications Conference
PublisherPubl by IEEE
Pages75-81
Number of pages7
ISBN (Print)078031302X
Publication statusPublished - 1 Jan 1993
Externally publishedYes
Event1993 IEEE Power Industry Computer Applications Conference - Scottsdale, AZ, USA
Duration: 4 May 19937 May 1993

Other

Other1993 IEEE Power Industry Computer Applications Conference
CityScottsdale, AZ, USA
Period4/5/937/5/93

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Huang, G. M., & Ongsakul, W. (1993). Managing the bottlenecks in parallel Gauss-Seidel type algorithms for power flow analysis. In 1993 IEEE Power Industry Computer Applications Conference (pp. 75-81). Publ by IEEE.