Parallel Performance Analysis of a Regional Numerical Weather Prediction Model in a Petascale Machine
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.
KeywordsParallel performance analysis Numerical weather prediction Petascale supercomputing
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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