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    MVAPICH2 vs. OpenMPI for a Clustering Algorithm

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    BlasbergGobbertHPCF20087.pdf (4.018Mb)
    Links to Files
    https://userpages.umbc.edu/~gobbert/papers/BlasbergGobbertHPCF20087.pdf
    Permanent Link
    http://hdl.handle.net/11603/11673
    Collections
    • UMBC Faculty Collection
    • UMBC Mathematics and Statistics Department
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    Author/Creator
    Blasberg, Robin V.
    Gobbert, Matthias K.
    Date
    2008
    Type of Work
    12 pages
    Text
    technical report
    Rights
    This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
    Subjects
    OpenMPI
    Clustering Algorithm
    MVAPICH2
    memory-optimal
    UMBC High Performance Computing Facility (HPCF)
    affinity propogation
    Abstract
    Affinity propagation is a clustering algorithm that functions by identifying similar data points in an iterative process. Its structure allows for taking full advantage of parallel computing to enable the solution of larger problems and to solve them faster than possible in serial. We present a memory-optimal implementation with minimal number of communication commands and demonstrate its excellent scalability. Additionally, we present a comparison of two implementations of MPI that demonstrate that MVAPICH2 exhibits better scalability up to larger numbers of parallel processes than OpenMPI for this code.


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    www.umbc.edu/scholarworks

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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3544


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.