IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-08144-1_7.html
   My bibliography  Save this book chapter

Node Performance and Energy Analysis with the Sniper Multi-core Simulator

In: Tools for High Performance Computing 2013

Author

Listed:
  • Trevor E. Carlson

    (Ghent University)

  • Wim Heirman

    (Intel, ExaScience Lab)

  • Kenzo Van Craeynest

    (Ghent University)

  • Lieven Eeckhout

    (Ghent University)

Abstract

Two major trends in high-performance computing, namely, larger numbers of cores and the growing size of on-chip cache memory, are creating significant challenges for evaluating the design space of future processor architectures. Fast and scalable simulations are therefore needed to allow for sufficient exploration of large multi-core systems within a limited simulation time budget. By bringing together accurate high-abstraction analytical models with fast parallel simulation, architects can trade off accuracy with simulation speed to allow for longer application runs, covering a larger portion of the hardware design space. Sniper provides this balance allowing long-running simulations to be modeled much faster than with detailed cycle-accurate simulation, while still providing the detail necessary to observe core-uncore interactions across the entire system. With per-function advanced visualization and coupled power and energy simulations, the Sniper multi-core simulator can provide a fast and accurate way both to understand and optimize software for current and future hardware systems.

Suggested Citation

  • Trevor E. Carlson & Wim Heirman & Kenzo Van Craeynest & Lieven Eeckhout, 2014. "Node Performance and Energy Analysis with the Sniper Multi-core Simulator," Springer Books, in: Andreas Knüpfer & José Gracia & Wolfgang E. Nagel & Michael M. Resch (ed.), Tools for High Performance Computing 2013, edition 127, chapter 0, pages 79-89, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-08144-1_7
    DOI: 10.1007/978-3-319-08144-1_7
    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:978-3-319-08144-1_7. 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.