High performance shallow water kernels for parallel overland flow simulations based on FullSWOF2D. (1st July 2017)

• Record Type: Journal Article
• Authors: Wittmann, Roland; Bungartz, Hans-Joachim; Neumann, Philipp
• Is Part Of: Computers & mathematics with applications. Volume 74:issue 1(2017)
• Page Start: 110
• Page End: 125
• Publication Date: 2017-07-01
• Subjects: Vectorization -- Overland flows -- Shallow water equations -- High performance kernels; Electronic data processing -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.28541
• DOI: 10.1016/j.camwa.2017.01.005
• Languages: English
• ISSNs: 0898-1221

Abstract

Abstract: We describe code optimization and parallelization procedures applied to the sequential overland flow solver FullSWOF2D. Major difficulties when simulating overland flows comprise dealing with high resolution datasets of large scale areas which either cannot be computed on a single node either due to limited amount of memory or due to too many (time step) iterations resulting from the CFL condition. We address these issues in terms of two major contributions. First, we demonstrate a generic step-by-step transformation of the second order finite volume scheme in FullSWOF2D towards MPI parallelization. Second, the computational kernels are optimized by the use of templates and a portable vectorization approach. We discuss the load imbalance of the flux computation due to dry and wet cells and propose a solution using an efficient cell counting approach. Finally, scalability results are shown for different test scenarios along with a flood simulation benchmark using the Shaheen II supercomputer.