NUMA-aware scalable graph traversal on SGI UV Systems

Yuichiro Yasui, Katsuki Fujisawa, Eng Lim Goh, John Baron, Atsushi Sugiura, Takashi Uchiyama

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

    8 被引用数 (Scopus)

    抄録

    Breadth-first search (BFS) is one of the most fundamental processing algorithms in graph theory. We previously presented a scalable BFS algorithm based on Beamer's direction-optimizing algorithm for non-uniform memory access (NUMA)-based systems, in which the NUMA architecture was carefully considered. This paper presents our new implementation that reduces remote memory access in a top-down direction of direction-optimizing algorithm. We also discuss numerical results obtained on the SGI UV 2000 and UV 300 systems, which are shared-memory supercomputers based on a cache coherent (cc)-NUMA architecture that can handle thousands of threads on a single operating system. Our implementation has achieved performance rates of 219 billion edges per second on a Kronecker graph with 234 vertices and 238 edges on a rack of an SGI UV 300 system with 1,152 threads. This result exceeds the fastest entry for a shared-memory system on the current Graph500 list presented in November 2015, which includes our previous implementation.

    本文言語英語
    ホスト出版物のタイトルHPGP 2016 - Proceedings of the ACM Workshop on High Performance Graph Processing, Co-located with HPDC 2016
    出版社Association for Computing Machinery, Inc
    ページ19-26
    ページ数8
    ISBN(電子版)9781450343503
    DOI
    出版ステータス出版済み - 5 31 2016
    イベントACM Workshop on High Performance Graph Processing, HPGP 2016 - Kyoto, 日本
    継続期間: 5 31 2016 → …

    出版物シリーズ

    名前HPGP 2016 - Proceedings of the ACM Workshop on High Performance Graph Processing, Co-located with HPDC 2016

    その他

    その他ACM Workshop on High Performance Graph Processing, HPGP 2016
    国/地域日本
    CityKyoto
    Period5/31/16 → …

    All Science Journal Classification (ASJC) codes

    • ソフトウェア
    • コンピュータ ネットワークおよび通信

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