IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-35074-3_1.html
   My bibliography  Save this book chapter

The NEC SX-8 Vector Supercomputer System

In: High Performance Computing on Vector Systems

Author

Listed:
  • Satoru Tagaya

    (NEC Corporation)

  • Masato Nishida

    (NEC Corporation)

  • Takashi Hagiwara

    (NEC Corporation)

  • Takashi Yanagawa

    (NEC Corporation, 1st Computers Software Division)

  • Yuji Yokoya

    (NEC Corporation, 1st Computers Software Division)

  • Hiroshi Takahara

    (NEC Corporation, HPC Marketing Promotion Division)

  • Jörg Stadler

    (NEC High Performance Computing Europe GmbH)

  • Martin Galle

    (NEC High Performance Computing Europe GmbH)

  • Wolfgang Bez

    (NEC High Performance Computing Europe GmbH)

Abstract

In 2003, the High Performance Computing Center in Stuttgart (HLRS) has decided to install 72 NEC SX-8 vector computer nodes with 576 CPUs in total. With this installation, the HLRS is able to provide the highest vector technology based computational power to academic and industrial users within Europe. In this article, an overview of the NEC SX-8 vector computer architecture is presented. After a general outline of the SX-8 series, a description of the SX-8 hardware is given. The article is finalized by an overview of related software features

Suggested Citation

  • Satoru Tagaya & Masato Nishida & Takashi Hagiwara & Takashi Yanagawa & Yuji Yokoya & Hiroshi Takahara & Jörg Stadler & Martin Galle & Wolfgang Bez, 2006. "The NEC SX-8 Vector Supercomputer System," Springer Books, in: Michael Resch & Thomas Bönisch & Katharina Benkert & Wolfgang Bez & Toshiyuki Furui & Yoshiki Seo (ed.), High Performance Computing on Vector Systems, pages 3-24, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-35074-3_1
    DOI: 10.1007/3-540-35074-8_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-35074-3_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.