Computationally Efficient Tsunami Modelling on Graphics Processing Units (GPU)

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.17736/ijope.2016.ak10.

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Authors

Reza Amouzgar, Qiuhua Liang, Peter John Clarke , Tomohiro Yasuda, Hajime Mase

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.

DOI

https://doi.org/10.31223/osf.io/xwvdz

Subjects

Applied Mathematics, Civil and Environmental Engineering, Civil Engineering, Computer Sciences, Earth Sciences, Engineering, Environmental Sciences, Geophysics and Seismology, Hydraulic Engineering, Numerical Analysis and Computation, Numerical Analysis and Scientific Computing, Other Civil and Environmental Engineering, Other Earth Sciences, Other Environmental Sciences, Physical Sciences and Mathematics

Keywords

tsunami, hydrodynamics, Geohazards, CUDA, finite volume Godunov-type scheme, graphics processing units (GPUs), heterogeneous computing, shallow water equations, tsunami modeling

Dates

Published: 2017-11-13 10:48

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License

CC BY Attribution 4.0 International

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