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

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

    Abstract

    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.

    Original languageEnglish
    Title of host publication2018 IEEE 8th Symposium on Large Data Analysis and Visualization, LDAV 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages108-109
    Number of pages2
    ISBN (Electronic)9781538668733
    DOIs
    Publication statusPublished - Oct 2018
    Event8th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2018 - Berlin, Germany
    Duration: Oct 21 2018 → …

    Publication series

    Name2018 IEEE 8th Symposium on Large Data Analysis and Visualization, LDAV 2018

    Conference

    Conference8th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2018
    CountryGermany
    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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