skip to main content
article
Free Access

Parallel methods for integrating ordinary differential equations

Published:01 December 1964Publication History
Skip Abstract Section

Abstract

This paper is dedicated to the proposition that, in order to take full advantage for real-time computations of highly parallel computers as can be expected to be available in the near future, much of numerical analysis will have to be recast in a more “parallel” form. By this is meant that serial algorithms ought to be replaced by algorithms which consist of several subtasks which can be computed without knowledge of the results of the other subtasks. As an example, a method is proposed for “parallelizing” the numerical integration of an ordinary differential equation, which process, by all standard methods, is entirely serial.

References

  1. 1 COMFORT, W. W. Highly Parallel Machines. In Workshop on Computer Organization, Barnum, Knapp (Eds.), Spartan Books, 1963.Google ScholarGoogle Scholar
  2. 2 HENRICI, P. Discrete Variable Methods in Ordinary Differential Equations. John Wiley, New York, 1962.Google ScholarGoogle Scholar

Index Terms

  1. Parallel methods for integrating ordinary differential equations
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in

    Full Access

    • Published in

      cover image Communications of the ACM
      Communications of the ACM  Volume 7, Issue 12
      Dec. 1964
      64 pages
      ISSN:0001-0782
      EISSN:1557-7317
      DOI:10.1145/355588
      Issue’s Table of Contents

      Copyright © 1964 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 December 1964

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • article

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader