Self-simulation for the passive optical star model

P. Berthomé, Th H. Duboux, T. Hagerup, I. Newman, A. Schuster

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the context of parallel computing, optical technology offers simple interconnection schemes with straightforward layouts that support complex logical interconnection patterns. The Passive Optical Star (POS) is often suggested as a platform for implementing the optical network: logically it offers an all-to-all broadcast capability. We investigate the self-simulation or scalability properties of the POS. A family of parallel machines is said to be self-simulating or scalable if reducing the number of processors by a factor of k (by going to a smaller member of the family) increases the computation time by a factor of (the optimal) O(k). We present a randomized algorithm for an n-processor POS that simulates a kn-processor POS with a slowdown of O(k + log*n) using local control only, thus coming close to the self-simulation ideal of O(k). We also analyze direct algorithms that send messages directly from their origin to their destination; for this case we prove that Ө(k2) is the exact complexity.

Original languageEnglish
Title of host publicationAlgorithms - ESA 1995 - 3rd Annual European Symposium, Proceedings
EditorsPaul Spirakis
PublisherSpringer Verlag
Pages369-380
Number of pages12
ISBN (Print)3540603131, 9783540603139
DOIs
StatePublished - 1995
Event3rd Annual European Symposium on Algorithms, ESA 1995 - Corfu, Greece
Duration: 25 Sep 199527 Sep 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume979
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd Annual European Symposium on Algorithms, ESA 1995
Country/TerritoryGreece
CityCorfu
Period25/09/9527/09/95

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1995.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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