IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-74384-2_1.html
   My bibliography  Save this book chapter

Sustained Performance of 10+ Teraflop/s in Simulation on Seismic Waves Using 507 Nodes of the Earth Simulator

In: High Performance Computing on Vector Systems 2007

Author

Listed:
  • Seiji Tsuboi

    (JAMSTEC, Institute for Research on Earth Evolution)

Abstract

Earthquakes are very large scale ruptures inside the Earth and generate elastic waves, known as seismic waves, which propagate inside the Earth. We use a Spectral-Element Method implemented on the Earth Simulator in Japan to calculate seismic waves generated by recent large earthquakes. The spectral-element method is based on a weak formulation of the equations of motion and has both the flexibility of a finite-element method and the accuracy of a pseudospectral method. We perform numerical simulation of seismic wave propagation for a fully three-dimensional Earth model, which incorporates realistic 3D variations of Earth’s internal properties. The simulations are performed on 4056 processors, which require 507 out of 640 nodes of the Earth Simulator. We use a mesh with 206 million spectral-elements, for a total of 13.8 billion global integration grid points (i.e., almost 37 billion degrees of freedom). We show examples of simulations and demonstrate that the synthetic seismic waves computed by this numerical technique match with the observed seismic waves accurately.

Suggested Citation

  • Seiji Tsuboi, 2008. "Sustained Performance of 10+ Teraflop/s in Simulation on Seismic Waves Using 507 Nodes of the Earth Simulator," Springer Books, in: Michael Resch & Sabine Roller & Peter Lammers & Toshiyuki Furui & Martin Galle & Wolfgang Bez (ed.), High Performance Computing on Vector Systems 2007, pages 3-14, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-74384-2_1
    DOI: 10.1007/978-3-540-74384-2_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:978-3-540-74384-2_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.