skip to main content
10.1109/SPDP.1990.143659guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Compressing cube-connected cycles and butterfly networks

Published: 02 December 1990 Publication History

Abstract

The authors consider the simulation of large cube-connected cycles (CCC) large butterfly networks (BFN) on smaller ones, a problem that arises when algorithms designed for an architecture of an ideal size are to be executed on an existing architecture of a fixed size. The authors show that large CCCs and BFNs can be embedded into smaller networks of the same type with (a) dilation 2 and optimum load, (b) dilation 1 and optimum load in most cases, (c) dilation 1 and nearly optimum load in all cases. The results show that large CCCs and BFNs can be simulated very efficiently on smaller ones. Additionally, they implemented their algorithm for compressing CCCs and ran several experiments on a Transputer network, which showed that the technique also behaves very well from a practical point of view.
  1. Compressing cube-connected cycles and butterfly networks

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    SPDP '90: Proceedings of the 1990 IEEE Second Symposium on Parallel and Distributed Processing
    December 1990
    841 pages
    ISBN:0818620870

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 02 December 1990

    Author Tags

    1. Transputer network
    2. butterfly networks
    3. cube-connected cycles
    4. dilation 2
    5. optimum load

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 0
      Total Downloads
    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 17 Jan 2025

    Other Metrics

    Citations

    View Options

    View options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media