Performance Evaluation of Tsunami Inundation Simulation on SX-Aurora TSUBASA

被引：2

作者：

Musa, Akihiro ^{[1
,2
]}

Abe, Takashi ^{[1
]}

Kishitani, Takumi ^{[1
]}

Inoue, Takuya ^{[1
,3
]}

Sato, Masayuki ^{[1
]}

Komatsu, Kazuhiko ^{[1
]}

Murashima, Yoichi ^{[1
,3
]}

Koshimura, Shunichi ^{[1
]}

Kobayashi, Hiroaki ^{[1
]}

机构：

[1] Tohoku Univ, Sendai, Miyagi 9088578, Japan

[2] NEC Corp Ltd, Minato Ku, Tokyo 1088001, Japan

[3] Kokusai Kogyo Co LTD, Fuchu, Tokyo 1830057, Japan

来源：

COMPUTATIONAL SCIENCE - ICCS 2019, PT II | 2019年 / 11537卷

关键词：

System performance; Supercomputer; Tsunami simulation; NUMERICAL-MODEL; FORECAST SYSTEM;

D O I：

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

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As tsunamis may cause damage in wide area, it is difficult to immediately understand the whole damage. To quickly estimate the damages of and respond to the disaster, we have developed a real-time tsunami inundation forecast system that utilizes the vector supercomputer SX-ACE for simulating tsunami inundation phenomena. The forecast system can complete a tsunami inundation and damage forecast for the southwestern part of the Pacific coast of Japan at the level of a 30-m grid size in less than 30min. The forecast system requires higher-performance supercomputers to increase resolutions and expand forecast areas. In this paper, we compare the performance of the tsunami inundation simulation on SX-Aurora TSUBASA, which is a new vector supercomputer released in 2018, with those on Xeon Gold and SX-ACE. We clarify that SX-Aurora TSUBASA achieves the highest performance among the three systems and has a high potential for increasing resolutions as well as expanding forecast areas.

引用

页码：363 / 376

页数：14

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