The design of advanced communication to reduce memory usage for exa-scale systems

Shinji Sumimoto, Yuichiro Ajima, Kazushige Saga, Takafumi Nose, Naoyuki Shida, Takeshi Nanri

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

    2 被引用数 (Scopus)

    抄録

    Current MPI (Message Passing Interface) communication libraries require larger memories in proportion of the number of processes, and can not be used for exa-scale systems. This paper proposes a global memory based communication design to reduce memory usage for exa-scale communication. To realize exa-scale communication, we propose true global memory based communication primitives called Advanced Communication Primitives (ACPs). ACPs provide global address, which is able to use remote atomic memory operations on the global memory, RDMA (Remote Direct Memory Access) based remote memory copy operation, global heap allocator and global data libraries. ACPs are different from the other communication libraries because ACPs are global memory based so that house keeping memories can be distributed to other processes and programmers explicitly consider memory usage by using ACPs. The preliminary result of memory usage by ACPs is 70 MB on one million processes.

    本文言語英語
    ホスト出版物のタイトルHigh Performance Computing for Computational Science
    ホスト出版物のサブタイトルVECPAR 2016 - 12th International Conference, Revised Selected Papers
    編集者Ines Dutra, Rui Camacho, Jorge Barbosa, Osni Marques
    出版社Springer Verlag
    ページ149-161
    ページ数13
    ISBN(印刷版)9783319619811
    DOI
    出版ステータス出版済み - 2017
    イベント12th International Conference on High Performance Computing for Computational Science, VECPAR 2016 - Porto, ポルトガル
    継続期間: 6 28 20166 30 2016

    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)
    10150 LNCS
    ISSN(印刷版)0302-9743
    ISSN(電子版)1611-3349

    その他

    その他12th International Conference on High Performance Computing for Computational Science, VECPAR 2016
    Countryポルトガル
    CityPorto
    Period6/28/166/30/16

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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