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        A hybrid shared memory execution model for a data parallel language with I/O

        Author
        Grelck, Clemens
        Kuthe, Steffen
        Scholz, Sven-Bodo
        Attention
        2299/6645
        Abstract
        We propose a novel execution model for the implicitly parallel execution of data parallel programs in the presence of general I/O operations. This model is called hybrid because it combines the advantages of the standard execution models fork/join and SPMD. Based on program analysis the hybrid model adapts itself to one or the other on the granularity of individual instructions. We outline compilation techniques that systematically derive the organization of parallel code from data flow characteristics aiming at the reduction of execution mode switches in general and synchronization/communication requirements in particular. Experiments based on a prototype implementation show the effectiveness of the hybrid execution model for reducing parallel overhead.
        Publication date
        2008
        Published in
        Parallel Processing Letters
        Published version
        https://doi.org/10.1142/S012962640800320X
        Other links
        http://hdl.handle.net/2299/6645
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