Parallel Workstation Cluster for Algorithm Development, Parameter Scoping, and Data Analysis

Abstract

A cluster of workstations is connected with a fast network and used as a local parallel computer. This approach mimics the interprocessor communication and scalability of the large machines at a fraction of the cost. This system uses off-the-shelf hardware and public domain software, which makes the system simple to assemble and maintain. The parallel workstation cluster has already significantly contributed to our AFOSR project. The cluster accelerates the algorithm development process because it eliminates the delays associated with remote computing on shared resources. The parallel workstation cluster performs simulations to scope a parameter space for optimization and design. A parallel supercomputer is then used for the detailed scoping using fewer runs. This approach has helped to alleviate the over-subscription of the shared resources and has allowed us to obtain the computational results in less time.

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Document Details

Document Type
Technical Report
Publication Date
Apr 26, 1999
Accession Number
ADA363032

Entities

People

  • Uri Shumlak

Organizations

  • University of Washington

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computer Programming
  • Computers
  • Data Analysis
  • Debugging
  • Department Of Defense
  • Equations
  • High Performance Computing
  • High Power Microwaves
  • Operating Systems
  • Simulations
  • Software Development
  • Supercomputers
  • Three Dimensional
  • Weapons Effects

Fields of Study

  • Computer science

Readers

  • Parallel and Distributed Computing.

Technology Areas

  • Space