Real-time tsunami inundation forecast system for tsunami disaster prevention and mitigation

Akihiro Musa, Osamu Watanabe, Hiroshi Matsuoka, Hiroaki Hokari, Takuya Inoue, Yoichi Murashima, Yusaku Ohta, Ryota Hino, Shunichi Koshimura, Hiroaki Kobayashi

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)


The tsunami disasters that occurred in Indonesia, Chile, and Japan have inflicted serious casualties and damaged social infrastructures. Tsunami forecasting systems are thus urgently required worldwide. We have developed a real-time tsunami inundation forecast system that can complete a tsunami inundation and damage forecast for coastal cities at the level of 10-m grid size in less than 20 min. As the tsunami inundation and damage simulation is a vectorizable memory-intensive program, we incorporate NEC’s vector supercomputer SX-ACE. In this paper, we present an overview of our system. In addition, we describe an implementation of the program on SX-ACE and evaluate its performance of SX-ACE in comparison with the cases using an Intel Xeon-based system and the K computer. Then, we clarify that the fulfillment of a real-time tsunami inundation forecast system requires a system with high-performance cores connected to the memory subsystem at a high memory bandwidth such as SX-ACE.

Original languageEnglish
Pages (from-to)3093-3113
Number of pages21
JournalJournal of Supercomputing
Issue number7
Publication statusPublished - 2018 Jul 1


  • Optimization and parallelization
  • Real-time simulation
  • Supercomputer
  • System performance
  • Tsunami

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture


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