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...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.展开更多
基金supported by U.S.Department of Energy through the grants DE-SC0016540,DE-SC0020270U.S.National Science Foundation through the grant DMS-1912626,Office of the Vice President for Research at the University of South Carolina through an ASPIRE grantNatural Science Foundation of China through the grant 11871454.
文摘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.
