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Optimization of a real-time tsunami inundation forcast system

Research Project

Project/Area Number 18K11322
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 60090:High performance computing-related
Research InstitutionTohoku University

Principal Investigator

MUSA AKIHIRO  東北大学, サイバーサイエンスセンター, 客員教授 (40639655)

Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2020: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2019: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords高速化 / スーパーコンピュータ / 津波シミュレーション / リアルタイムシミュレーション / 高速化技術 / 津波
Outline of Final Research Achievements

This research has two objectives. The first objective is to clarify system architectures for achieving a high performance on our tsunami inundation forecast system. The other is to optimize our tsunami inundation program.
We analyzed performances of the program using four types of processors. Then, it is clarified that the program requires vector processors with a high memory bandwidth in order to achieve high performance, and the forecast system need to execute several control processes. Therefore, the optimal computer systems are vector-scalar hybrid systems such as SX-Aurora TSUBASA. In the program, we have developed a polygonal domain for decreasing the amount of computation and a domain decomposition method for maintaining a load balance of the parallel simulation. Moreover, we have optimized vector operations. Then, the program can simulate tsunami inundations and damage estimates on the whole coastal regions along the Pacific coat of Japan within five minutes.

Academic Significance and Societal Importance of the Research Achievements

本研究対象であるリアルタイム津波浸水被害推定システムは,2017年から内閣府総合防災システムの一機能として運用を行っている.本システムは地震発生後30分以内に津波被害の推定結果を算出し,内閣府はその推定結果を用いて政府としての津波災害の初期対応方針を決定している.現在のシステムは30mの精度で推定を行っている.しかし,きめ細やかな災害対応には10mの精度での推定を行う必要があり,本システムの高速化が求められている.本研究は,本システムに適したコンピュータアーキテクチャを明らかにし,そして津波浸水被害シミュレーションの高速化を実現し,迅速な災害対応に貢献するものである.

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (17 results)

All 2020 2019 2018 Other

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Open Access: 2 results) Presentation (14 results) (of which Int'l Joint Research: 9 results,  Invited: 1 results) Remarks (1 results)

  • [Journal Article] Development and Validation of a Tsunami Numerical Model with the Polygonally Nested Grid System and its MPI-Parallelization for Real-Time Tsunami Inundation Forecast on a Regional Scale2019

    • Author(s)
      Inoue Takuya、Abe Takashi、Koshimura Shunichi、Musa Akihiro、Murashima Yoichi、Kobayashi Hiroaki
    • Journal Title

      Journal of Disaster Research

      Volume: 14 Issue: 3 Pages: 416-434

    • DOI

      10.20965/jdr.2019.p0416

    • NAID

      130007626686

    • ISSN
      1881-2473, 1883-8030
    • Year and Date
      2019-03-28
    • Related Report
      2018 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Performance Evaluation of Tsunami Inundation Simulation on SX-Aurora TSUBASA2019

    • Author(s)
      Musa Akihiro、Abe Takashi、Kishitani Takumi、Inoue Takuya、Sato Masayuki、Komatsu Kazuhiko、Murashima Yoichi、Koshimura Shunichi、Kobayashi Hiroaki
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 11537 Pages: 363-376

    • DOI

      10.1007/978-3-030-22741-8_26

    • ISBN
      9783030227401, 9783030227418
    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Importance of Selecting Data Layouts in the Tsunami Simulation Code2020

    • Author(s)
      T. Kishitani, K. Komatsu, M. Sato, A. Musa, H. Kobayashi
    • Organizer
      15th International Workshop on Automatic Performance Tuning
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Evaluation of Tsunami Inundation Simulation using Vector-Scalar Hybrid MPI on SX-Aurora TSUBASA2020

    • Author(s)
      A. Musa, T. Soga, T. Abe, M. Sato, K. Komatsu, S. Koshimura, H. Kobayashi
    • Organizer
      The International Conference for High Performance Computing, Networking, Storage and Analysis (SC20)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 大規模津波浸水被害推計シミュレーションのマルチプラットフォーム向け最適化手法の研究2020

    • Author(s)
      撫佐昭裕
    • Organizer
      学際大規模情報基盤共同利用・共同研究拠点 第12回シンポジウム
    • Related Report
      2020 Annual Research Report
  • [Presentation] Importance of Selecting Data Layouts in the Tsunami Simulation Code2020

    • Author(s)
      T. Kishitani, K. Komatsu, M. Sato, A. Musa, H. Kobayashi
    • Organizer
      14th International Workshop on Automatic Performance Tuning
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Performance Evaluation of Tsunami Inundation Simulation On SX-Aurora TSUBASA2019

    • Author(s)
      A. Musa, T. Abe, T. Kishitani, T. Inoue, M. Sato, K. Komatsu, Y. Murashima, S. Koshimura, H. Kobayashi
    • Organizer
      9th International Workshop on Advances in High Performance Computational Earth Science in conjunction with ICCS 2019
    • Related Report
      2019 Research-status Report 2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] An Application Parameter Search Method Based on the Binary Tree Algorithm for Performance Tuning2019

    • Author(s)
      T. Kishitani, K. Komatsu, A. Musa, M. Sato, H. Kobayashi
    • Organizer
      ISC High Performance 2019
    • Related Report
      2019 Research-status Report 2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Real-time Tsunami Inundation and Damage Forecasting in Japan - Present and Future2019

    • Author(s)
      S. Koshimura, T. Inoue, Y. Ohta, R. Hino, A. Musa, Y. Murashima, M. Kachi, Y. Sato, H. Kobayashi, Y. Murashima
    • Organizer
      27th International Union of Geodesy and Geophysics General Assembly 2019
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] SINETの防災利用 リアルタイム津波浸水被害推計システムでの利用2019

    • Author(s)
      撫佐昭裕
    • Organizer
      学術情報基盤オープンフォーラム2019
    • Related Report
      2019 Research-status Report
  • [Presentation] ジョブ管理システムSlurmの緊急ジョブスイッチング機能の検証2019

    • Author(s)
      瀧川 陽平, 渡場 康弘, 伊達 進, 撫佐 昭裕, 佐藤 佳彦
    • Organizer
      第17回 ディペンダブルシステムワークショップ
    • Related Report
      2019 Research-status Report
  • [Presentation] 大規模津波浸水被害推計シミュレーションのマルチプラットフォーム向け最適化手法の研究2019

    • Author(s)
      撫佐昭裕
    • Organizer
      学際大規模情報基盤共同利用・共同研究拠点 第11回シンポジウム
    • Related Report
      2019 Research-status Report
  • [Presentation] Performance Evaluation of a Real-Time Tsunami Inundation Forecast System on Modern Supercomputers2018

    • Author(s)
      A. Musa, T. Kishitani, T. Inoue, H. Hokari, M. Sato, K. Komatsu, Y. Murashima, S. Koshimura, H. Kobayashi
    • Organizer
      5th Annual Meeting Asia Oceania Geoscience Society
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] earch Space Reduction for Parameter Tuning of a Tsunami Simulation on the Intel Knights Landing Processor2018

    • Author(s)
      K. Komatsu, T. Kishitani, M. Sato, A. Musa, H. Kobayashi
    • Organizer
      IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Performance Evaluation of a Brand-New Vector Supercomputer SX-Aurora TSUBASA2018

    • Author(s)
      K. Komatsu, S. Momose, Y. Isobe, M. Yokokawa, O. Watanabe, T. Aoyama, M. Sato, A. Musa, H. Kobayashi
    • Organizer
      The International Conference on High Performance Computing, Networking, Storage and Analysis
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] メニーコアプロセッサのためのパラメータチューニング時間削減手法2018

    • Author(s)
      岸谷 拓海, 小松 一彦, 撫佐 昭裕, 佐藤 雅之, 小林 広明
    • Organizer
      2018年並列/分散/協調処理に関するサマー・ワークショップ
    • Related Report
      2018 Research-status Report
  • [Remarks] リアルタイム津波浸水被害推計シミュレーションの性能評価

    • URL

      https://www.ss.cc.tohoku.ac.jp/sscc/refer/pdf_data/v53-2/v53-2_p10-18.pdf

    • Related Report
      2020 Annual Research Report

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Published: 2018-04-23   Modified: 2022-01-27  

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