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Measuring Computer Performance

  • William Jalby
  • David C. Wong
  • David J. Kuck
  • Jean-Thomas Acquaviva
  • Jean-Christophe Beyler

Abstract

Computer performance improvement embraces many issues, but is severely hampered by existing approaches that examine one or a few topics at a time. Each problem solved leads to another saturation point and serious problem. In the most frustrating cases, solving some problems exacerbates others and achieves no net performance gain. This paper discusses how to measure a large computational load globally, using as much architectural detail as needed. Besides the traditional goals of sequential and parallel system performance, these methods are useful for energy optimization.

Keywords

Execution Time Virtual Node Physical Node Cape Simulation Array Access 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  • William Jalby
    • 1
  • David C. Wong
    • 2
  • David J. Kuck
    • 2
  • Jean-Thomas Acquaviva
    • 1
  • Jean-Christophe Beyler
    • 1
  1. 1.UVSQ/Exascale Computing ResearchVersaillesFrance
  2. 2.Intel CorporationUrbanaUSA

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