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    Fork-join and data-driven execution models on multi-core architectures: Case study of the FMM

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    Type
    Conference Paper
    Authors
    Amer, Abdelhalim
    Maruyama, Naoya
    Pericàs, Miquel
    Taura, Kenjiro
    Yokota, Rio
    Matsuoka, Satoshi
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Extreme Computing Research Center
    Date
    2013
    Permanent link to this record
    http://hdl.handle.net/10754/575764
    
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    Abstract
    Extracting maximum performance of multi-core architectures is a difficult task primarily due to bandwidth limitations of the memory subsystem and its complex hierarchy. In this work, we study the implications of fork-join and data-driven execution models on this type of architecture at the level of task parallelism. For this purpose, we use a highly optimized fork-join based implementation of the FMM and extend it to a data-driven implementation using a distributed task scheduling approach. This study exposes some limitations of the conventional fork-join implementation in terms of synchronization overheads. We find that these are not negligible and their elimination by the data-driven method, with a careful data locality strategy, was beneficial. Experimental evaluation of both methods on state-of-the-art multi-socket multi-core architectures showed up to 22% speed-ups of the data-driven approach compared to the original method. We demonstrate that a data-driven execution of FMM not only improves performance by avoiding global synchronization overheads but also reduces the memory-bandwidth pressure caused by memory-intensive computations. © 2013 Springer-Verlag.
    Citation
    Amer, A., Maruyama, N., Pericàs, M., Taura, K., Yokota, R., & Matsuoka, S. (2013). Fork-Join and Data-Driven Execution Models on Multi-core Architectures: Case Study of the FMM. Supercomputing, 255–266. doi:10.1007/978-3-642-38750-0_19
    Publisher
    Springer Berlin Heidelberg
    Journal
    Lecture Notes in Computer Science
    Conference/Event name
    28th International Supercomputing Conference on Supercomputing, ISC 2013
    ISBN
    9783642387494
    9783642387500
    DOI
    10.1007/978-3-642-38750-0_19
    Additional Links
    http://link.springer.com/10.1007/978-3-642-38750-0_19
    http://www.mcs.anl.gov/%7Eaamer/papers/isc13-fmm-multicore.pdf
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-642-38750-0_19
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