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Real-time tsunami inundation forecast system for tsunami disaster prevention and mitigation
- 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.
- Subjects :
- 010504 meteorology & atmospheric sciences
Emergency management
business.industry
Computer science
InformationSystems_INFORMATIONSYSTEMSAPPLICATIONS
Real-time computing
010502 geochemistry & geophysics
01 natural sciences
Theoretical Computer Science
Hardware and Architecture
Real-time simulation
business
Software
0105 earth and related environmental sciences
Information Systems
Subjects
Details
- ISSN :
- 15730484 and 09208542
- Volume :
- 74
- Database :
- OpenAIRE
- Journal :
- The Journal of Supercomputing
- Accession number :
- edsair.doi...........8be77766ee4a865b477ade2a8f8ca387