IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-10626-7_13.html
   My bibliography  Save this book chapter

Interconnection Network: Design Space Exploration of Network for Supercomputers

In: Sustained Simulation Performance 2014

Author

Listed:
  • Kentaro Sano

    (Tohoku University, Graduate School of Information Sciences)

Abstract

This chapter reports design space exploration for an interconnection network subsystem in a supercomputer targeting memory-intensive applications, which had been conducted in a feasibility study for the next-generation supercomputers. Supercomputers composed of many nodes with high-performance processors also require a high performance network so that computing performance can be scaled up to the entire system. In our design space exploration, we discuss feasibility of networks with various topologies based on 64 × 64 high-radix crossbar switches with the assumption of a system overview and available technologies by 2018. Preliminary evaluation suggests that a full fat tree network and a fat-tree-torus hybrid network are promising in terms of a network diameter and the number of links, in comparison with the other topologies including a 3D or 5D torus and a dragonfly. In detailed evaluation, we estimate communication performance, cost, and power consumption for the two promising networks. The obtained results show that the hybrid network can have shorter latency for local point-to-point communication than the full fat tree network while both the networks can have comparable performance for collective communications.

Suggested Citation

  • Kentaro Sano, 2015. "Interconnection Network: Design Space Exploration of Network for Supercomputers," Springer Books, in: Michael M. Resch & Wolfgang Bez & Erich Focht & Hiroaki Kobayashi & Nisarg Patel (ed.), Sustained Simulation Performance 2014, edition 127, pages 151-161, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-10626-7_13
    DOI: 10.1007/978-3-319-10626-7_13
    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:978-3-319-10626-7_13. 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.