Modeling Parallel, Distributed Computations using ParaDiGM - A Case Study: the Adaptive Global Optimization Algorithm

Abstract

ParaDiGM the Parallel Distributed computation Graph Model, was designed to model implementations of parallel computations to be run on distributed message-based computer systems. We have used it to model two implementations of a complex adaptive parallel global optimization algorithm. In this paper, we introduce the ParaDiGM constructs, describe the algorithm, and then present the models of the implementations. These examples illustrate ParaDiGM's utility as a modeling formalism for representing and studying implementations of parallel, distributed algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA461991

Entities

People

  • Gary J. Nutt
  • Isabelle M. Demeure
  • Sharon L. Smith

Organizations

  • University of Colorado Boulder

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Case Studies
  • Computations
  • Computers
  • Information Operations
  • Optimization
  • Parallel Computing
  • Parallel Processing

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Parallel and Distributed Computing.