Measuring parallel processor performance

  • Authors:
  • Alan H. Karp;Horace P. Flatt

  • Affiliations:
  • IBM Scientific Center, Palo Alto, CA;IBM Scientific Center, Palo Alto, CA

  • Venue:
  • Communications of the ACM
  • Year:
  • 1990

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Abstract

Many metrics are used for measuring the performance of a parallel algorithm running on a parallel processor. This article introduces a new metric that has some advantages over the others. Its use is illustrated with data from the Linpack benchmark report and the winners of the Gordon Bell Award.