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Parallel Algorithms in Computational Science

  • Textbook
  • © 1991

Overview

Editors:
  1. Dieter W. Heermann

    1. Institut für Theoretische Physik der Universität Heidelberg, Heidelberg, Fed. Rep. of Germany

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  2. Anthony N. Burkitt

    1. Theoretische Physik: FB8, Bergische Universität - GHS, Wuppertal 1, Fed. Rep. of Germany

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Part of the book series: Springer Series in Information Sciences (SSINF, volume 24)

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-XIII
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  2. Introduction

    • Dieter W. Heermann, Anthony N. Burkitt
    Pages 1-4

  3. Computer Simulation Methods

    • Dieter W. Heermann, Anthony N. Burkitt
    Pages 5-35

  4. Physics and Parallelism

    • Dieter W. Heermann, Anthony N. Burkitt
    Pages 37-42

  5. Concepts of Parallelism

    • Dieter W. Heermann, Anthony N. Burkitt
    Pages 43-50

  6. Parallel Machines and Languages

    • Dieter W. Heermann, Anthony N. Burkitt
    Pages 51-70

  7. Replication Algorithms

    • Dieter W. Heermann, Anthony N. Burkitt
    Pages 71-74

  8. Geometrically Parallel Algorithms

    • Dieter W. Heermann, Anthony N. Burkitt
    Pages 75-104

  9. Data Parallel Algorithms

    • Dieter W. Heermann, Anthony N. Burkitt
    Pages 105-109

  10. Introduction to a Parallel Language

    • Dieter W. Heermann, Anthony N. Burkitt
    Pages 111-147

  11. Back Matter

    Pages 149-183
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Keywords

About this book

Our aim in this book is to present and enlarge upon those aspects of parallel computing that are needed by practitioners of computational science. Today al­ most all classical sciences, such as mathematics, physics, chemistry and biology, employ numerical methods to help gain insight into nature. In addition to the traditional numerical methods, such as matrix inversions and the like, a whole new field of computational techniques has come to assume central importance, namely the numerical simulation methods. These methods are much less fully developed than those which are usually taught in a standard numerical math­ ematics course. However, they form a whole new set of tools for research in the physical sciences and are applicable to a very wide range of problems. At the same time there have been not only enormous strides forward in the speed and capability of computers but also dramatic new developments in computer architecture, and particularly in parallel computers. These improvements offer exciting prospects for computer studies of physical systems, and it is the new techniques and methods connected with such computer simulations that we seek to present in this book, particularly in the light of the possibilities opened up by parallel computers. It is clearly not possible at this early stage to write a definitive book on simulation methods and parallel computing.

Editors and Affiliations

  • Institut für Theoretische Physik der Universität Heidelberg, Heidelberg, Fed. Rep. of Germany

    Dieter W. Heermann

  • Theoretische Physik: FB8, Bergische Universität - GHS, Wuppertal 1, Fed. Rep. of Germany

    Anthony N. Burkitt

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