MPI and HPF Performance in a DEC Alpha Cluster

Abstract

There are several different types of parallel computer architectures in use today. Some of these are large machines that house hundreds of processors with low- to mid-range computing capabilities. A different type of parallel computer architecture becoming increasingly popular is that of the cluster. Clusters are basically networked workstations: each containing 1 to approx. 30 processors with mid- to high-range computing capabilities. While arguments can be made for both paradigms, clusters seem to be gaining in popularity. They provide fast computation through multiplicity and fast processor throughput. Furthermore, code reuse on different cluster environments is now possible with the adoption of standard interprocessor communication tools like the Message-Passing Interface (MPI) and High Performance FORTRAN (HPF). This report compares and contrasts the performance of MPI and HPF on a currently available computer cluster.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1998
Accession Number
ADA343800

Entities

People

  • Dale Shires

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Computer Architecture
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Environment
  • Gray Scale
  • Language
  • Mathematics
  • Military Research
  • Parallel Computing
  • Parallel Processing
  • Standards
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Educational Psychology
  • Parallel and Distributed Computing.