New computational developments on chemistry module of BRAMS numerical weather prediction

Autores/as

  • Roberto P. Souto
  • Maria E. S. Welter
  • Mateus S. Melo
  • Carla Osthoff
  • Renato J. P. Borseti
  • Luiz Flávio Rodrigues
  • Pedro Leite da Silva Dias
  • Franck Vigilant

DOI:

https://doi.org/10.5540/03.2018.006.02.0305

Palabras clave:

Numerical weather prediction, sparse linear systems, direct sparse method, LU factorization

Resumen

In this work, a restructuring of the calls of the direct model solver was carried out to remove redundant executions of the symbolic and numerical factorization stages present in the original implementation of the chemistry module from BRAMS regional numerical weather prediction. In the case study chosen, this change resulted in a gain of approximately 37.5% on average of the chemistry iteration serial time.

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Publicado

2018-12-19

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