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Performance Issues in Parallel Processing Systems

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Performance Evaluation: Origins and Directions

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1769))

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Abstract

Simply put, the goal of performance analysis is to provide the data and insights required to optimize the execution behavior of application or system components. Using such data and insights, application and system developers can choose to optimize software and execution environments along many axes, including execution time, memory requirements, and resource use. Given the diversity of performance optimization goals and the wide range of possible problems, a complete performance analysis toolkit necessarily includes a broad range of techniques. These range from mechanisms for simple code timings to multi-level hardware/software measurement and correlation across networks, system software, runtime libraries, compile-time code transformations, and adaptive execution.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Illinois, Urbana, Illinois, 61801, USA

    Luiz A. DeRose, Mario Pantano, Daniel A. Reed & Jeffrey S. Vetter

Authors
  1. Luiz A. DeRose
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  2. Mario Pantano
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  3. Daniel A. Reed
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  4. Jeffrey S. Vetter
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Editor information

Editors and Affiliations

  1. Institut für Angewandte Informatik und Informationssysteme, Universität Wien, Lenaugasse 2/8, 1080, Wien, Austria

    Günter Haring

  2. Informatik IV, Universität Dortmund, August-Schmidt-Straße 12, 44227, Dortmund, Germany

    Christoph Lindemann

  3. GMD Institut für Medienkommunikation, Schloß Birlinghoven, Postfach 1316, 53754, Sankt Augustin, Germany

    Martin Reiser

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© 2000 Springer-Verlag Berlin Heidelberg

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DeRose, L.A., Pantano, M., Reed, D.A., Vetter, J.S. (2000). Performance Issues in Parallel Processing Systems. In: Haring, G., Lindemann, C., Reiser, M. (eds) Performance Evaluation: Origins and Directions. Lecture Notes in Computer Science, vol 1769. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46506-5_6

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  • DOI: https://doi.org/10.1007/3-540-46506-5_6

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  • Print ISBN: 978-3-540-67193-0

  • Online ISBN: 978-3-540-46506-5

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