The IFS model: A parallel production weather code

Autor: G. Mozdzynski, David Dent, Guy Robinson, Lars Isaksen, Saulo R. M. Barros, Fritz G. Wollenweber
Rok vydání: 1995
Předmět:
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