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Comparison and Validation of Two Parallelization Approaches of FullSWOF_2D Software on a Real Case

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Advances in Hydroinformatics

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Abstract

FullSWOF_2D (Full Shallow Water equation for Overland Flow in two dimensions) is a free software designed for shallow water flow simulations. The shallow water equations are solved thanks to a well-balanced finite volume scheme (based on the hydrostatic reconstruction), which is adapted to the properties of the model considered (in particular conservative laws, hyperbolic system, and steady states). The sources of this software (in C++) are available from https://sourcesup.renater.fr/projects/fullswof-2D/. This software has been validated on several analytical test cases integrated in SWASHES library and on rainfall overland flow simulations. Because of the simulations on big data necessity, this software has been parallelized with two different strategies (MPI and SKELGIS) in the framework of the CEMRACS 2012. Our purpose is to continue the comparison and the validation of these two versions of FullSWOF_Paral on realistic test cases. Our methodology will consist in comparing these two approaches on classical test cases such as Malpasset’s dam break with 2D hydraulic softwares such as MIKE 21, MIKE 21 FM, and TELEMAC 2D. The two strategies are presented in this paper. As this work is still in progress, only results from MPI version are presented here. More results will be given in future works.

Olivier Delestre is also affiliated to Lab. J.A. Dieudonné UMR 7351 CNRS

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Acknowledgments

This work was granted access to the HPC resources of Aix-Marseille Université financed by the project Equip@Meso (ANR-10-EQPX-29-01) of the program “Investissements d’Avenir” supervised by the Agence Nationale pour la Recherche.

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Correspondence to Olivier Delestre .

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Delestre, O., Abily, M., Cordier, F., Gourbesville, P., Coullon, H. (2016). Comparison and Validation of Two Parallelization Approaches of FullSWOF_2D Software on a Real Case. In: Gourbesville, P., Cunge, J., Caignaert, G. (eds) Advances in Hydroinformatics. Springer Water. Springer, Singapore. https://doi.org/10.1007/978-981-287-615-7_27

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