Performance evaluation of hypercubes in the presence of multiple time-scale correlated traffic

Research output: Contribution to journalArticle

Abstract

The efficiency of a large-scale parallel computer is critically dependent on the performance of its interconnection network. Analytical modelling plays an important role towards obtaining a clear understanding of network performance under various design spaces. This paper proposes an analytical performance model for circuit-switched hypercubes in the presence of multiple time-scale correlated traffic which can appear in many parallel computation environments and has strong impact on network performance. The tractability and reasonable accuracy of the analytical model demonstrated by simulation experiments make it a practical and cost-effective evaluation tool to investigate network performance under different system configurations.

Original languageEnglish
Pages (from-to)284-291
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3222
Publication statusPublished - 2004

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Multiple Time Scales
Network Performance
Network performance
Hypercube
Performance Evaluation
Traffic
Costs and Cost Analysis
Analytical Model
Analytical Modeling
Tractability
Interconnection Networks
Parallel Computation
Performance Model
Parallel Computers
Simulation Experiment
Analytical models
Configuration
Networks (circuits)
Dependent
Evaluation

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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abstract = "The efficiency of a large-scale parallel computer is critically dependent on the performance of its interconnection network. Analytical modelling plays an important role towards obtaining a clear understanding of network performance under various design spaces. This paper proposes an analytical performance model for circuit-switched hypercubes in the presence of multiple time-scale correlated traffic which can appear in many parallel computation environments and has strong impact on network performance. The tractability and reasonable accuracy of the analytical model demonstrated by simulation experiments make it a practical and cost-effective evaluation tool to investigate network performance under different system configurations.",
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