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  • Predicting software performance in symmetric multi-core and multiprocessor Environments

    Jens Happe

    Band 3 von The Karlsruhe Series on Software Design and Quality
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    With today's rise of multi-core processors, concurrency becomes a ubiquitous challenge in software development.Performance prediction methods have to reflect the influence of multiprocessing environments on software performance in order to help software architects to find potential performance problems during early development phases. In this thesis, we address the influence of the operating system scheduler on software performance in symmetric multiprocessing environments.

    Umfang: IV, 291 S.

    Preis: €30.90 | £29.00 | $55.00

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    Empfohlene Zitierweise
    Happe, J. 2009. Predicting software performance in symmetric multi-core and multiprocessor Environments. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000011806
    Happe, J., 2009. Predicting software performance in symmetric multi-core and multiprocessor Environments. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000011806
    Happe, J. Predicting Software Performance in Symmetric Multi-core and Multiprocessor Environments. KIT Scientific Publishing, 2009. DOI: https://doi.org/10.5445/KSP/1000011806
    Happe, J. (2009). Predicting software performance in symmetric multi-core and multiprocessor Environments. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000011806
    Happe, Jens. 2009. Predicting Software Performance in Symmetric Multi-core and Multiprocessor Environments. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000011806




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    Weitere Informationen

    Veröffentlicht am 30. Juli 2009

    Sprache

    Englisch

    Seitenanzahl:

    304

    ISBN
    Paperback 978-3-86644-381-5

    DOI
    https://doi.org/10.5445/KSP/1000011806