SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics

Author:

Caviedes-Voullième DanielORCID,Morales-Hernández MarioORCID,Norman Matthew R.,Özgen-Xian IlhanORCID

Abstract

Abstract. The Simulation EnviRonment for Geomorphology, Hydrodynamics, and Ecohydrology in Integrated form (SERGHEI) is a multi-dimensional, multi-domain, and multi-physics model framework for environmental and landscape simulation, designed with an outlook towards Earth system modelling. At the core of SERGHEI's innovation is its performance-portable high-performance parallel-computing (HPC) implementation, built from scratch on the Kokkos portability layer, allowing SERGHEI to be deployed, in a performance-portable fashion, in graphics processing unit (GPU)-based heterogeneous systems. In this work, we explore combinations of MPI and Kokkos using OpenMP and CUDA backends. In this contribution, we introduce the SERGHEI model framework and present with detail its first operational module for solving shallow-water equations (SERGHEI-SWE) and its HPC implementation. This module is designed to be applicable to hydrological and environmental problems including flooding and runoff generation, with an outlook towards Earth system modelling. Its applicability is demonstrated by testing several well-known benchmarks and large-scale problems, for which SERGHEI-SWE achieves excellent results for the different types of shallow-water problems. Finally, SERGHEI-SWE scalability and performance portability is demonstrated and evaluated on several TOP500 HPC systems, with very good scaling in the range of over 20 000 CPUs and up to 256 state-of-the art GPUs.

Publisher

Copernicus GmbH

Subject

General Medicine

Reference178 articles.

1. Abderrezzak, K. E. K., Paquier, A., and Mignot, E.: Modelling flash flood propagation in urban areas using a two-dimensional numerical model, Nat. Hazards, 50, 433–460, https://doi.org/10.1007/s11069-008-9300-0, 2008. a

2. Alexander, F., Almgren, A., Bell, J., Bhattacharjee, A., Chen, J., Colella, P., Daniel, D., DeSlippe, J., Diachin, L., Draeger, E., Dubey, A., Dunning, T., Evans, T., Foster, I., Francois, M., Germann, T., Gordon, M., Habib, S., Halappanavar, M., Hamilton, S., Hart, W., Huang, Z. H., Hungerford, A., Kasen, D., Kent, P. R. C., Kolev, T., Kothe, D. B., Kronfeld, A., Luo, Y., Mackenzie, P., McCallen, D., Messer, B., Mniszewski, S., Oehmen, C., Perazzo, A., Perez, D., Richards, D., Rider, W. J., Rieben, R., Roche, K., Siegel, A., Sprague, M., Steefel, C., Stevens, R., Syamlal, M., Taylor, M., Turner, J., Vay, J.-L., Voter, A. F., Windus, T. L., and Yelick, K.: Exascale applications: skin in the game, Philos. T. R. Soc. A, 378, 20190056, https://doi.org/10.1098/rsta.2019.0056, 2020. a

3. An, H., Yu, S., Lee, G., and Kim, Y.: Analysis of an open source quadtree grid shallow water flow solver for flood simulation, Quatern. Int., 384, 118–128, https://doi.org/10.1016/j.quaint.2015.01.032, 2015. a

4. Arpaia, L. and Ricchiuto, M.: r-adaptation for Shallow Water flows: conservation, well balancedness, efficiency, Comput. Fluids, 160, 175–203, https://doi.org/10.1016/j.compfluid.2017.10.026, 2018. a

5. Artigues, V., Kormann, K., Rampp, M., and Reuter, K.: Evaluation of performance portability frameworks for the implementation of a particle-in-cell code, Concurr. Comput.-Pract. E., 32, https://doi.org/10.1002/cpe.5640, 2019. a

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