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

Authors :
Hiroshi Matsuoka
Hiroaki Hokari
Yusaku Ohta
Ryota Hino
Shunichi Koshimura
Yoichi Murashima
Akihiro Musa
Osamu Watanabe
Hiroaki Kobayashi
Takuya Inoue
Source :
The Journal of Supercomputing. 74:3093-3113
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

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.

Details

ISSN :
15730484 and 09208542
Volume :
74
Database :
OpenAIRE
Journal :
The Journal of Supercomputing
Accession number :
edsair.doi...........8be77766ee4a865b477ade2a8f8ca387