Parallelization of the GESIMA mesoscale atmospheric model

Parallelization of the GESIMA mesoscale atmospheric model

The implementation of the GESIMA mesoscale atmospheric model on message passing, distributed memory parallel computers is presented. Particular emphasis is given to the parallelization of the conjugate gradient solver using pre-conditioning by an incomplete LU factorization. Performance results are...

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Veröffentlicht in:Parallel computing 1997-12, Vol.23 (14), p.2201-2213
Hauptverfasser: Ashworth, M., Foelkel, F., Gülzow, V., Kleese, K., Eppel, D.P., Kapitza, H., Unger, S.
Format: Artikel
Sprache:eng
Schlagworte:
Conjugate gradients
Distributed memory
Mesoscale atmospheric model
Message passing
Parallel computing
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Zusammenfassung:The implementation of the GESIMA mesoscale atmospheric model on message passing, distributed memory parallel computers is presented. Particular emphasis is given to the parallelization of the conjugate gradient solver using pre-conditioning by an incomplete LU factorization. Performance results are presented for the Cray T3D and Cray T3E systems, which show good scalability over a range of problem sizes and numbers of processors.
ISSN:0167-8191
1872-7336
DOI:10.1016/S0167-8191(97)00109-9