Localized Exponential Time Differencing Method for Shallow Water Equations: Algorithms and Numerical Study
Year: 2021
Author: Xucheng Meng, Thi-Thao-Phuong Hoang, Zhu Wang, Lili Ju
Communications in Computational Physics, Vol. 29 (2021), Iss. 1 : pp. 80–110
Abstract
In this paper, we investigate the performance of the exponential time differencing (ETD) method applied to the rotating shallow water equations. Comparing with explicit time stepping of the same order accuracy in time, the ETD algorithms could reduce the computational time in many cases by allowing the use of large time step sizes while still maintaining numerical stability. To accelerate the ETD simulations, we propose a localized approach that synthesizes the ETD method and overlapping domain decomposition. By dividing the original problem into many subdomain problems of smaller sizes and solving them locally, the proposed approach could speed up the calculation of matrix exponential vector products. Several standard test cases for shallow water equations of one or multiple layers are considered. The results show great potential of the localized ETD method for high-performance computing because each subdomain problem can be naturally solved in parallel at every time step.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.OA-2019-0214
Communications in Computational Physics, Vol. 29 (2021), Iss. 1 : pp. 80–110
Published online: 2021-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 31
Keywords: Exponential time differencing domain decomposition rotating shallow water equations finite volume discretization.
Author Details
-
Multifidelity Monte Carlo estimation for efficient uncertainty quantification in climate-related modeling
Gruber, Anthony | Gunzburger, Max | Ju, Lili | Lan, Rihui | Wang, ZhuGeoscientific Model Development, Vol. 16 (2023), Iss. 4 P.1213
https://doi.org/10.5194/gmd-16-1213-2023 [Citations: 3] -
A parallel ETD algorithm for large-scale rate theory simulation
Li, JianJiang | Li, Jiali | Yang, Yun | Ji, Baixue | Chen, Dandan | He, Xinfu | Nie, NingmingThe Journal of Supercomputing, Vol. 78 (2022), Iss. 12 P.14215
https://doi.org/10.1007/s11227-022-04434-2 [Citations: 2] -
Parallel exponential time differencing methods for geophysical flow simulations
Lan, Rihui | Leng, Wei | Wang, Zhu | Ju, Lili | Gunzburger, MaxComputer Methods in Applied Mechanics and Engineering, Vol. 387 (2021), Iss. P.114151
https://doi.org/10.1016/j.cma.2021.114151 [Citations: 1] -
Convection experiments with the exponential time integration scheme
Pudykiewicz, Janusz A. | Clancy, ColmJournal of Computational Physics, Vol. 449 (2022), Iss. P.110803
https://doi.org/10.1016/j.jcp.2021.110803 [Citations: 3]