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Data parallel patterns on CPU/GPU mix

Serban, Tudor and Coppola, Massimo (2013) Data parallel patterns on CPU/GPU mix. Technical Report del Dipartimento di Informatica . Università di Pisa, Pisa, IT.

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    We propose a model that uses a small set of quite simple parameters to devise a proper partitioning of the available data parallel tasks between CPU cores and GPU cores. The model takes into account both hardware and application dependent parameters. In particular, it eventually computes the percentage of tasks to be executed on CPU cores and GPU cores to achieve the better performance figures. Different experimental results on state-of-the-art CPU/GPU architectures are shown that assess the model properties.

    Item Type: Book
    Uncontrolled Keywords: structured parallel programming, algorithmic skeletons, design patterns, GPU, multicore, manycore
    Subjects: Area01 - Scienze matematiche e informatiche > INF/01 - Informatica
    Divisions: Dipartimenti (from 2013) > DIPARTIMENTO DI INFORMATICA
    Depositing User: dott.ssa Sandra Faita
    Date Deposited: 22 Oct 2014 17:09
    Last Modified: 22 Oct 2014 17:09
    URI: http://eprints.adm.unipi.it/id/eprint/2297

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