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Parallel Performance Analysis of a Regional Numerical Weather Prediction Model in a Petascale Machine

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High Performance Computing (CARLA 2015)

Abstract

This paper presents the parallel performance achieved by a regional model of numerical weather prediction (NWP), running on thousands of computing cores in a petascale supercomputing system. It was obtained good scalability, running with up to 13440 cores, distributed in 670 nodes. These results enables this application to solve large computational challenges, such as perform weather forecast at very high spatial resolution.

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Acknowledgments

This project is supported by FINEP Brazilian funding agency (process number 01.14.192.00). The authors would like also to thank to ATOS/BULL for make available its computing resources in order to adapt BRAMS to run in SDumont cluster.

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Correspondence to Roberto Pinto Souto .

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© 2015 Springer International Publishing Switzerland

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Souto, R.P., da Silva Dias, P.L., Vigilant, F. (2015). Parallel Performance Analysis of a Regional Numerical Weather Prediction Model in a Petascale Machine. In: Osthoff, C., Navaux, P., Barrios Hernandez, C., Silva Dias, P. (eds) High Performance Computing. CARLA 2015. Communications in Computer and Information Science, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-319-26928-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-26928-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26927-6

  • Online ISBN: 978-3-319-26928-3

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