The IFS model: A parallel production weather code
Autor: | G. Mozdzynski, David Dent, Guy Robinson, Lars Isaksen, Saulo R. M. Barros, Fritz G. Wollenweber |
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Rok vydání: | 1995 |
Předmět: |
Computer Networks and Communications
Computer science Message passing Weather forecasting Parallel computing computer.software_genre Computer Graphics and Computer-Aided Design Theoretical Computer Science Artificial Intelligence Hardware and Architecture Weather Research and Forecasting Model Scalability Code (cryptography) Production (economics) computer Software |
Zdroj: | Parallel Computing. 21:1621-1638 |
ISSN: | 0167-8191 |
Popis: | 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. |
Databáze: | OpenAIRE |
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