A Large Data Visualization Framework for SPARC64 fx HPC Systems-Case Study: K Computer Operational Environment-

Jorji Nonaka, Kenji Ono, Naohisa Sakamoto, Kengo Hayashi, Motohiko Matsuda, Fumiyoshi Shoji, Kentaro Oku, Masahiro Fujita, Kazuma Hatta

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

    抄録

    Leading-edge supercomputer systems have been designed to achieve the highest computational performance possible for running a wide variety of large-scale simulations, and the pre-and post-processing are usually not considered in the main design feature. Although supercomputer systems may have peculiar CPU architecture, the auxiliary computational systems tend to use commodity based hardware and software in the form of servers and clusters. In the case of the K computer operational environment, at RIKEN R-CCS, the supercomputer itself is based on SPARC64 fx CPU architecture, and pre-and post-processing servers are based on traditional x86 CPU architecture. In this poster we present a large data visualization environment developed for this peculiar HPC operational environment, presenting some of the efforts made to meet the large data visualization needs. It is publicly known that the next-generation leading-edge Japanese supercomputer will abandon this CPU architecture in favor of another architecture, but we expect that some of the knowledge obtained in this development will also be useful for this future coming supercomputer system.

    本文言語英語
    ホスト出版物のタイトル2018 IEEE 8th Symposium on Large Data Analysis and Visualization, LDAV 2018
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ108-109
    ページ数2
    ISBN(電子版)9781538668733
    DOI
    出版ステータス出版済み - 10 2018
    イベント8th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2018 - Berlin, ドイツ
    継続期間: 10 21 2018 → …

    出版物シリーズ

    名前2018 IEEE 8th Symposium on Large Data Analysis and Visualization, LDAV 2018

    会議

    会議8th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2018
    Countryドイツ
    CityBerlin
    Period10/21/18 → …

    All Science Journal Classification (ASJC) codes

    • Computer Graphics and Computer-Aided Design
    • Media Technology
    • Modelling and Simulation

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