Parallel Computing in Optimization.

Abstract

One of the major developments in computing in recent years has been the introduction of a variety of parallel computers, and the development of algorithms that effectively utilize their capabilities. Very little of this parallel algorithm development, however, has been in numerical optimization. Nevertheless, significant opportunities exist for the utilization of parallelism in optimization, especially on computers that support independent concurrent processes. This paper first gives a very brief survey of parallel architectures and general characteristics of parallel algorithms. Next we indicate what we see as the leading opportunities for the utilization of parallelism in optimization. Then we survey the small amount of existing research in parallel optimization; most of this has been conducted at The Hatfield Polytechnic. Finally we discuss some recently initiated research at the University of Colorado concerned with solving optimization problems by parallel algorithms suitable for implementation on a local area network of computers; we focus on a new parallel algorithm for global optimization. Additional keywords: Computer architecture, and Multiprocessors.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1984
Accession Number
ADA151812

Entities

People

  • R. B. Schnabel

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algebra
  • Algorithms
  • Computations
  • Computer Architecture
  • Computer Programming
  • Computer Science
  • Computers
  • Differential Equations
  • Equations
  • Linear Algebra
  • Local Area Networks
  • Mathematical Programming
  • Operating Systems
  • Optimization
  • Parallel Computing
  • Parallel Processing
  • Parallel Processors

Fields of Study

  • Computer science

Readers

  • Operations Research
  • Technical Research and Report Writing.
  • Theoretical Analysis.