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  • Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation

    Philipp Josef Andelfinger

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    Although computer networks are inherently parallel systems, the parallel execution of network simulations on interconnected processors frequently yields only limited benefits. In this thesis, methods are proposed to estimate and understand the parallelization potential of network simulations. Further, mechanisms and architectures for exploiting the massively parallel processing resources of modern graphics cards to accelerate network simulations are proposed and evaluated.

    Umfang: XI, 147 S.

    Preis: €39.00 | £36.00 | $69.00

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    Empfohlene Zitierweise
    Andelfinger, P. 2016. Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000054019
    Andelfinger, P.J., 2016. Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000054019
    Andelfinger, P J. Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation. KIT Scientific Publishing, 2016. DOI: https://doi.org/10.5445/KSP/1000054019
    Andelfinger, P. J. (2016). Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000054019
    Andelfinger, Philipp Josef. 2016. Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000054019




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    Weitere Informationen

    Veröffentlicht am 28. Juli 2016

    Sprache

    Englisch

    Seitenanzahl:

    168

    ISBN
    Paperback 978-3-7315-0511-2

    DOI
    https://doi.org/10.5445/KSP/1000054019