Applying the semi-markov memory and cache coherence interference model to an updating based cache coherence protocol

Kazuki Joe, Akira Fukuda

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

Abstract

In this paper, we propose a method to apply the Semimaxkov Memory and Cache coherence Interference (SMCI) model, which we had proposed for parallel computers with an invalidating based cache coherence protocol, to an updating based protocol. The proposed model, SMCI/Dragon, predicts the performance of cache coherent parallel computers with Dragon protocol with extremely inexpensive computational costs. Using the extended model, we investigate several comparative experiments with widely known simulation. The results show that there are only 5.4% differences.

Original languageEnglish
Title of host publicationEuro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings
EditorsLuc Bouge, Pierre Fraigniaud, Anne Mignotte, Yves Robert
PublisherSpringer Verlag
Pages706-713
Number of pages8
ISBN (Print)3540616276, 9783540616276
DOIs
Publication statusPublished - Jan 1 1996
Event2nd International Euro-Par Conference on Parallel Processing, Euro-Par 1996 - Lyon, France
Duration: Aug 26 1996Aug 29 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1124
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Euro-Par Conference on Parallel Processing, Euro-Par 1996
CountryFrance
CityLyon
Period8/26/968/29/96

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Joe, K., & Fukuda, A. (1996). Applying the semi-markov memory and cache coherence interference model to an updating based cache coherence protocol. In L. Bouge, P. Fraigniaud, A. Mignotte, & Y. Robert (Eds.), Euro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings (pp. 706-713). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1124). Springer Verlag. https://doi.org/10.1007/bfb0024767