TY - JOUR
T1 - Real-time tsunami inundation forecast system for tsunami disaster prevention and mitigation
AU - Musa, Akihiro
AU - Watanabe, Osamu
AU - Matsuoka, Hiroshi
AU - Hokari, Hiroaki
AU - Inoue, Takuya
AU - Murashima, Yoichi
AU - Ohta, Yusaku
AU - Hino, Ryota
AU - Koshimura, Shunichi
AU - Kobayashi, Hiroaki
N1 - Funding Information:
Acknowledgements The authors thank Mr. Takayuki Suzuki of Kokusai Kogyo Co., Mr. Masaaki Kachi, Mr. Tsubasa Kawano of A2 Co., Mr. Yoshihiko Sato, and Mr. Takashi Abe of NEC Solution Innovators, Ltd. for developing the system. We appreciate the support from Mr. Raghunandan Mathur. This study was supported in part by the G-spatial City Construction Project from the Ministry of Internal Affairs and Communications and by a CREST grant from JST.
Publisher Copyright:
© 2018, The Author(s).
PY - 2018/7/1
Y1 - 2018/7/1
N2 - 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.
AB - 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.
KW - Optimization and parallelization
KW - Real-time simulation
KW - Supercomputer
KW - System performance
KW - Tsunami
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U2 - 10.1007/s11227-018-2363-0
DO - 10.1007/s11227-018-2363-0
M3 - Article
AN - SCOPUS:85045476705
SN - 0920-8542
VL - 74
SP - 3093
EP - 3113
JO - Journal of Supercomputing
JF - Journal of Supercomputing
IS - 7
ER -