Large-scale, high-speed tsunami prediction for the Great Nankai Trough Earthquake on the K computer

DOI Web Site Web Site 被引用文献13件 参考文献10件
  • Toshitaka Baba
    Research and Development Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology, Japan
  • Kazuto Ando
    Center for Earth Information Science and Technology, Japan Agency for Marine-Earth Science and Technology, Japan
  • Daisuke Matsuoka
    Center for Earth Information Science and Technology, Japan Agency for Marine-Earth Science and Technology, Japan
  • Mamoru Hyodo
    Research and Development Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology, Japan
  • Takane Hori
    Research and Development Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology, Japan
  • Narumi Takahashi
    Research and Development Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology, Japan
  • Ryoko Obayashi
    Research and Development Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology, Japan
  • Yoshiyuki Imato
    Center for Earth Information Science and Technology, Japan Agency for Marine-Earth Science and Technology, Japan
  • Dai Kitamura
    Center for Earth Information Science and Technology, Japan Agency for Marine-Earth Science and Technology, Japan
  • Hitoshi Uehara
    Center for Earth Information Science and Technology, Japan Agency for Marine-Earth Science and Technology, Japan
  • Toshihiro Kato
    NEC Corporation, Japan
  • Ryotaro Saka
    NEC Corporation, Japan

書誌事項

公開日
2015-05-04
資源種別
journal article
権利情報
  • https://journals.sagepub.com/page/policies/text-and-data-mining-license
DOI
  • 10.1177/1094342015584090
公開者
SAGE Publications

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説明

<jats:p> We improved the tsunami simulation code JAGURS, which is a paralleled version of URSGA code for a large-scale, high-speed tsunami prediction in the Nankai trough, Japan. We optimized the loop kernel for velocity update and intergrid communication on a three-dimensional torus network. Linear scaling was achieved up to the full system capability of the K computer (82,944 nodes) in a strong scaling test that used 100 billion finite-difference grid points. The measured performance on the K computer was 1.2 petaflops (11.5% of peak speed). Intergrid communication was optimized for a three-nested-grid model consisting of 0.68 billion grid points. Grid spacing in the area with the finest grid (180 km × 120 km) was about 5 m. We successfully implemented a large-scale tsunami simulation using this model that ran in about 30% of real time. We believe that this is the fastest tsunami prediction achieved to date with such a large-scale model. Our code can provide high-resolution tsunami prediction for broad regions within a reasonable time to assist emergency rescue and relief operations during future devastating tsunamis comparable to the 2004 Sumatra, 2010 Chile, and 2011 Tohoku tsunamis. </jats:p>

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