Latin American High Performance Computing Conference

High Performance Computing pp 145-150 | Cite as

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

  • Roberto Pinto Souto
  • Pedro Leite da Silva Dias
  • Franck Vigilant
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 565)

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.

Keywords

Parallel performance analysis Numerical weather prediction Petascale supercomputing 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Roberto Pinto Souto
    • 1
  • Pedro Leite da Silva Dias
    • 1
  • Franck Vigilant
    • 2
  1. 1.National Laboratory for Scientific Computing (LNCC)PetrópolisBrazil
  2. 2.Atos/Bull Center for Excellence in Parallel Programming (CEPP)ÉchirollesFrance

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