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    Optimizing the performance of streaming numerical kernels on the IBM Blue Gene/P PowerPC 450 processor

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    Type
    Article
    Authors
    Malas, Tareq Majed Yasin cc
    Ahmadia, Aron cc
    Brown, Jed
    Gunnels, John A.
    Keyes, David E. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    KAUST Supercomputing Laboratory (KSL)
    Applied Mathematics and Computational Science Program
    Extreme Computing Research Center
    Core Labs
    Date
    2012-05-21
    Preprint Posting Date
    2012-01-17
    Online Publication Date
    2012-05-21
    Print Publication Date
    2013-05
    Permanent link to this record
    http://hdl.handle.net/10754/562189
    
    Metadata
    Show full item record
    Abstract
    Several emerging petascale architectures use energy-efficient processors with vectorized computational units and in-order thread processing. On these architectures the sustained performance of streaming numerical kernels, ubiquitous in the solution of partial differential equations, represents a challenge despite the regularity of memory access. Sophisticated optimization techniques are required to fully utilize the CPU. We propose a new method for constructing streaming numerical kernels using a high-level assembly synthesis and optimization framework. We describe an implementation of this method in Python targeting the IBM® Blue Gene®/P supercomputer's PowerPC® 450 core. This paper details the high-level design, construction, simulation, verification, and analysis of these kernels utilizing a subset of the CPU's instruction set. We demonstrate the effectiveness of our approach by implementing several three-dimensional stencil kernels over a variety of cached memory scenarios and analyzing the mechanically scheduled variants, including a 27-point stencil achieving a 1.7× speedup over the best previously published results. © The Author(s) 2012.
    Citation
    Malas, T., Ahmadia, A. J., Brown, J., Gunnels, J. A., & Keyes, D. E. (2012). Optimizing the performance of streaming numerical kernels on the IBM Blue Gene/P PowerPC 450 processor. The International Journal of High Performance Computing Applications, 27(2), 193–209. doi:10.1177/1094342012444795
    Publisher
    SAGE Publications
    Journal
    International Journal of High Performance Computing Applications
    DOI
    10.1177/1094342012444795
    arXiv
    1201.3496
    Additional Links
    http://arxiv.org/abs/arXiv:1201.3496v1
    ae974a485f413a2113503eed53cd6c53
    10.1177/1094342012444795
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; KAUST Supercomputing Laboratory (KSL); Extreme Computing Research Center; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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