Performance evaluation of fully adaptive routing for the torus interconnect networks

F. Safaei*, A. Khonsari, M. Fathy, M. Ould-Khaoua

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

Adaptive routing algorithms have been frequently suggested as a means of improving communication performance in parallel computer networks. These algorithms, unlike deterministic routing, can utilize network state information to exploit the presence of multiple paths. Before such schemes can be successfully incorporated in networks, it is necessary to have a clear understanding of the factors which affect their performance potential. This paper proposes a new analytical model to obtain message latency in wormhole-switched 2-D torus interconnect networks. The analysis focuses on a fully adaptive routing which has been shown to be one of the most effective in torus networks. The validity of the model is demonstrated by comparing analytical results with those obtained through simulation experiments.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2007 - 7th International Conference, Proceedings
PublisherSpringer Verlag
Pages606-613
Number of pages8
EditionPART 4
ISBN (Print)9783540725893
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: May 27 2007May 30 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume4490 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Computational Science, ICCS 2007
Country/TerritoryChina
CityBeijing
Period5/27/075/30/07

Keywords

  • Adaptive routing algorithm
  • Parallel computer network
  • Torus interconnect networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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