The IFS model: A parallel production weather code

The integrated Forecasting System (IFS) of the European Centre for Medium-range Weather Forecasts (ECMWF) is a spectral weather forecasting model, which daily produces weather forecasts on up to 16 processors of a CRAY C90. This paper describes the shared-memory implementation of the code and the su...

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Veröffentlicht in:Parallel computing Jg. 21; H. 10; S. 1621 - 1638
Hauptverfasser: Barros, S.R.M., Dent, D., Isaksen, L., Robinson, G., Mozdzynski, G., Wollenweber, F.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 1995
Schlagworte:
Atmospheric general circulation modeling
Codes (symbols)
Computer architecture
Computer simulation
Mathematical models
Message passing
Parallel processing systems
Q1
Semi-Lagrangian transport
Shared-memory parallel computing
Spectral transform
Spectrum analysis
Weather forecasting
Weather prediction
Shared-memory parallel computing
Semi-Lagrangian transport
Spectral transform
Message passing
Weather prediction
Atmospheric general circulation modeling
ISSN:0167-8191, 1872-7336
Online-Zugang:Volltext
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Zusammenfassung:The integrated Forecasting System (IFS) of the European Centre for Medium-range Weather Forecasts (ECMWF) is a spectral weather forecasting model, which daily produces weather forecasts on up to 16 processors of a CRAY C90. This paper describes the shared-memory implementation of the code and the subsequent development that has been carried out in order to generate a parallel version, suitable for a scalable distributed-memory architecture with many processors. Performance results presented for several vector and parallel systems indicate that the parallelization effort has been successful in achieving good performance and high efficiency.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0167-8191
1872-7336
DOI:10.1016/0167-8191(96)80002-0