Collective communication costs analysis over Gigabit Ethernet and InfiniBand

Hyacinthe Nzigou Mamadou, Takeshi Nanri, Kazuaki Murakami

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)


    Users of parallel machines need to have a good grasp for how different communication patterns and styles affect the performance of message-passing applications. MPI Collective communications involve multiple processors, and their performance prediction is a tricky task to perform. In order to evaluate the performance of collective communications, we attempt to extend LogGP and P-LogP standard point-to-point models. Our objective is to compare these models with the empirical data, and identify the most suitable for performance characterization of collective communications. The models proposed are related with the implemented algorithms in MPICH. The experimental results performed on clusters of 16 and 64 processors connected by Infiniband and Gigabit Ethernet networks respectively, show the same trend. For any collective operation, given a number of processors and a range of message sizes, there is at least one model that predicts the performance precisely.

    Original languageEnglish
    Title of host publicationHigh Performance Computing - HiPC 2006 - 13th International Conference Proceedings
    Number of pages13
    Publication statusPublished - 2006
    Event13th International Conference on High Performance Computing, HiPC 2006 - Bangalore, India
    Duration: Dec 18 2006Dec 21 2006

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4297 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Other13th International Conference on High Performance Computing, HiPC 2006

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)


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