IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-68049-7_4.html
   My bibliography  Save this book chapter

Optimizations of DNS Codes for Turbulence on SX-Aurora TSUBASA

In: Sustained Simulation Performance 2019 and 2020

Author

Listed:
  • Yujiro Takenaka

    (Kobe University, Graduate School of System Informatics)

  • Mitsuo Yokokawa

    (Kobe University, Graduate School of System Informatics)

  • Takashi Ishihara

    (Okayama University, Graduate School of Environmental and Life Science)

  • Kazuhiko Komatsu

    (Cyberscience Center, Tohoku University)

  • Hiroaki Kobayashi

    (Tohoku University, Graduate School of Information Sciences)

Abstract

Direct numerical simulations (DNSs) of incompressible turbulence have been performed since the late 1960s, but simulations that reproduce strongly nonlinear turbulent flows as in the real-world have not been realized. We have implemented two kinds of parallel Fourier-spectral DNS codes by using a one-dimensional domain decomposition (slab decomposition) and a two-dimensional domain decomposition (pencil decomposition) for a cutting-edge vector supercomputer in order to carry out larger DNSs than ever before. In the DNS by the Fourier spectral method, the three-dimensional Fast Fourier Transforms (3D-FFTs) account for more than 90% of the computational time. Thus, in this article, our FFT codes for vector computers are optimized on SX-Aurora TSUBASA, and vector execution performance of the codes is measured. After optimization, the calculation time of the pencil decomposition code is 1.6 times shorter than before optimization.

Suggested Citation

  • Yujiro Takenaka & Mitsuo Yokokawa & Takashi Ishihara & Kazuhiko Komatsu & Hiroaki Kobayashi, 2021. "Optimizations of DNS Codes for Turbulence on SX-Aurora TSUBASA," Springer Books, in: Michael M. Resch & Manuela Wossough & Wolfgang Bez & Erich Focht & Hiroaki Kobayashi (ed.), Sustained Simulation Performance 2019 and 2020, pages 51-59, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-68049-7_4
    DOI: 10.1007/978-3-030-68049-7_4
    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

    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:978-3-030-68049-7_4. 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.