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The SIMD Model of Parallel Computation

  • Book
  • © 1994

Overview

Authors:
  1. Robert Cypher

    1. Research Center, IBM T. J. Watson, Yorktown Heights, USA

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  2. Jorge L. C. Sanz

    1. Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA

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    You can also search for this author in PubMed   Google Scholar

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-v
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  2. Introduction

    • Robert Cypher, Jorge L. C. Sanz
    Pages 1-3

  3. Parallel Computer Architectures

    • Robert Cypher, Jorge L. C. Sanz
    Pages 4-11

  4. High-Level Models

    • Robert Cypher, Jorge L. C. Sanz
    Pages 12-19

  5. Mesh Connected Computers

    • Robert Cypher, Jorge L. C. Sanz
    Pages 20-33

  6. Algorithms for Mesh Connected Computers

    • Robert Cypher, Jorge L. C. Sanz
    Pages 34-50

  7. Pyramid Machines

    • Robert Cypher, Jorge L. C. Sanz
    Pages 51-55

  8. Algorithms for Pyramid Machines

    • Robert Cypher, Jorge L. C. Sanz
    Pages 56-60

  9. Hypercube Computers

    • Robert Cypher, Jorge L. C. Sanz
    Pages 61-68

  10. Hypercube-Derived Computers

    • Robert Cypher, Jorge L. C. Sanz
    Pages 69-77

  11. Communication Primitives for Hypercube Computers

    • Robert Cypher, Jorge L. C. Sanz
    Pages 78-110

  12. Algorithms for Hypercube Computers

    • Robert Cypher, Jorge L. C. Sanz
    Pages 111-123

  13. Conclusions

    • Robert Cypher, Jorge L. C. Sanz
    Pages 124-126

  14. Back Matter

    Pages 127-149
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Keywords

About this book

1.1 Background There are many paradigmatic statements in the literature claiming that this is the decade of parallel computation. A great deal of research is being de­ voted to developing architectures and algorithms for parallel machines with thousands, or even millions, of processors. Such massively parallel computers have been made feasible by advances in VLSI (very large scale integration) technology. In fact, a number of computers having over one thousand pro­ cessors are commercially available. Furthermore, it is reasonable to expect that as VLSI technology continues to improve, massively parallel computers will become increasingly affordable and common. However, despite the significant progress made in the field, many funda­ mental issues still remain unresolved. One of the most significant of these is the issue of a general purpose parallel architecture. There is currently a huge variety of parallel architectures that are either being built or proposed. The problem is whether a single parallel computer can perform efficiently on all computing applications.

Authors and Affiliations

  • Research Center, IBM T. J. Watson, Yorktown Heights, USA

    Robert Cypher

  • Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA

    Jorge L. C. Sanz

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