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Computationally efficient tsunami modelling on Graphics Processing Units (GPUs)

Lookup NU author(s): Reza Amouzgar, Professor Qiuhua Liang, Professor Peter Clarke

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

Tsunamis generated by earthquakes commonly propagate as long waves in the deep ocean and develop into sharp-fronted surges moving rapidly towards the coast in shallow water, which may be effectively simulated by hydrodynamic models solving the nonlinear shallow water equations (SWEs). However, most of the existing tsunami models suffer from long simulation time for large-scale real-world applications. In this work, a graphics processing unit (GPU) accelerated finite volume shock-capturing hydrodynamic model is presented for computationally efficient tsunami simulations. The improved performance of the GPU-accelerated tsunami model is demonstrated through a laboratory benchmark test and a field-scale simulation.


Publication metadata

Author(s): Amouzgar R, Liang Q, Clarke PJ, Yasuda T, Mase H

Publication type: Article

Publication status: Published

Journal: International Journal of Offshore and Polar Engineering

Year: 2016

Volume: 26

Issue: 2

Pages: 154-160

Print publication date: 01/06/2016

Acceptance date: 21/12/2015

Date deposited: 15/02/2016

ISSN (print): 1053-5381

Publisher: International Society of Offshore and Polar Engineers

URL: http://www.isope.org/publications/journals/ijope-26-2/abst-26-2-p154-ak10-Amouzgar.pdf

DOI: 10.17736/ijope.2016.ak10

Notes: http://dx.doi.org/10.17736/ijope.2016.ak10


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