Fast and energy-efficient breadth-first search on a single NUMA system

Yuichiro Yasui, Katsuki Fujisawa, Yukinori Sato

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    5 被引用数 (Scopus)

    抄録

    Breadth-first search (BFS) is an important graph analysis kernel. The Graph500 benchmark measures a computer's BFS performance using the traversed edges per second (TEPS) ratio. Our previous nonuniform memory access (NUMA)-optimized BFS reduced memory accesses to remote RAM on a NUMA architecture system; its performance was 11 GTEPS (giga TEPS) on a 4-way Intel Xeon E5-4640 system. Herein, we investigated the computational complexity of the bottom-up, a major bottleneck in NUMA-optimized BFS. We clarify the relationship between vertex out-degree and bottom-up performance. In November 2013, our new implementation achieved a Graph500 benchmark performance of 37.66 GTEPS (fastest for a single node) on an SGI Altix UV1000 (one-rack) and 31.65 GTEPS (fastest for a single server) on a 4-way Intel Xeon E5-4650 system. Furthermore, we achieved the highest Green Graph500 performance of 153.17 MTEPS/W (mega TEPS per watt) on an Xperia-A SO-04E with a Qualcomm Snapdragon S4 Pro APQ8064.

    本文言語英語
    ホスト出版物のタイトルSupercomputing - 29th International Conference, ISC 2014, Proceedings
    出版社Springer Verlag
    ページ365-381
    ページ数17
    ISBN(印刷版)9783319075174
    DOI
    出版ステータス出版済み - 1 1 2014
    イベント29th International Supercomputing Conference, ISC 2014 - Leipzig, ドイツ
    継続期間: 6 22 20146 26 2014

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    8488 LNCS
    ISSN(印刷版)0302-9743
    ISSN(電子版)1611-3349

    その他

    その他29th International Supercomputing Conference, ISC 2014
    Countryドイツ
    CityLeipzig
    Period6/22/146/26/14

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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