Articles | Volume 16, issue 3
https://doi.org/10.5194/gmd-16-977-2023
https://doi.org/10.5194/gmd-16-977-2023
Model description paper
 | 
08 Feb 2023
Model description paper |  | 08 Feb 2023

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

Daniel Caviedes-Voullième, Mario Morales-Hernández, Matthew R. Norman, and Ilhan Özgen-Xian

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Cited articles

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
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
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
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
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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Short summary
This paper introduces the SERGHEI framework and a solver for shallow-water problems. Such models, often used for surface flow and flood modelling, are computationally intense. In recent years the trends to increase computational power have changed, requiring models to adapt to new hardware and new software paradigms. SERGHEI addresses these challenges, allowing surface flow simulation to be enabled on the newest and upcoming consumer hardware and supercomputers very efficiently.
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