Parallel implementation of the SHYFEM (System of HydrodYnamic Finite Element Modules) model

Author:

Micaletto Giorgio,Barletta Ivano,Mocavero Silvia,Federico Ivan,Epicoco ItaloORCID,Verri GiorgiaORCID,Coppini Giovanni,Schiano Pasquale,Aloisio Giovanni,Pinardi NadiaORCID

Abstract

Abstract. This paper presents the message passing interface (MPI)-based parallelization of the three-dimensional hydrodynamic model SHYFEM (System of HydrodYnamic Finite Element Modules). The original sequential version of the code was parallelized in order to reduce the execution time of high-resolution configurations using state-of-the-art high-performance computing (HPC) systems. A distributed memory approach was used, based on the MPI. Optimized numerical libraries were used to partition the unstructured grid (with a focus on load balancing) and to solve the sparse linear system of equations in parallel in the case of semi-to-fully implicit time stepping. The parallel implementation of the model was validated by comparing the outputs with those obtained from the sequential version. The performance assessment demonstrates a good level of scalability with a realistic configuration used as benchmark.

Publisher

Copernicus GmbH

Subject

General Medicine

Reference64 articles.

1. Bajo, M., Ferrarin, C., Dinu, I., Umgiesser, G., and Stanica, A.: The water circulation near the danube delta and the romanian coast modelled with finite elements, Cont. Shelf Res., 78, 62–74, 2014. a

2. Balay, S., Gropp, W. D., McInnes, L. C., and Smith, B. F.: Efficient Management of Parallelism in Object Oriented Numerical Software Libraries, in: Modern Software Tools in Scientific Computing, edited by: Arge, E., Bruaset, A. M., and Langtangen, H. P., Birkhäuser Press, 163–202, https://doi.org/10.1007/978-1-4612-1986-6_8, 1997. a

3. Balay, S., Abhyankar, S., Adams, M. F., Brown, J., Brune, P., Buschelman, K., Dalcin, L., Dener, A., Eijkhout, V., Gropp, W. D., Karpeyev, D., Kaushik, D., Knepley, M. G., May, D. A., McInnes, L. C., Mills, R. T., Munson, T., Rupp, K., Sanan, P., Smith, B. F., Zampini, S., Zhang, H., and Zhang, H.: PETSc Users Manual, Tech. Rep. ANL-95/11 – Revision 3.13, Argonne National Laboratory, https://www.mcs.anl.gov/petsc (last access: June 2022), 2020. a

4. Balay, S., Abhyankar, S., Adams, M. F., Benson, S., Brown, J., Brune, P., Buschelman, K., Constantinescu, E. M., Dalcin, L., Dener, A., Eijkhout, V., Gropp, W. D., Hapla, V., Isaac, T., Jolivet, P., Karpeev, D., Kaushik, D., Knepley, M. G., Kong, F., Kruger, S., May, D. A., McInnes, L. C., Mills, R. T., Mitchell, L., Munson, T., Roman, J. E., Rupp, K., Sanan, P., Sarich, J., Smith, B. F., Zampini, S., Zhang, H., Zhang, H., and Zhang, J.: PETSc Web page, Argonne National Laboratory, https://petsc.org/ (last access: June 2022), 2021. a

5. Barletta, I., Federico, I., Verri, G., Coppini, G., and Pinardi, N.: Input dataset for SANIFS configuration, Zenodo [data set], https://doi.org/10.5281/zenodo.6907575, 2022. a

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