Titlebook: High Performance Computing in the Geosciences; François-Xavier Dimet Book 1995 Springer Science+Business Media Dordrecht 1995 Meteorology.

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Book 1995ing for their implementation, provides a guidefor decision making in regard to computing directions in futurenumerical models, and provides an overview of future developments inmassively parallel processing and their implications for numericalmodelling in the geosciences. .

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1389-2185 nce computing for their implementation, provides a guidefor decision making in regard to computing directions in futurenumerical models, and provides an overview of future developments inmassively parallel processing and their implications for numericalmodelling in the geosciences. .978-94-010-4019-

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Performance and Portability in Parallel Computing: A Weather Forecast View,n models on parallel computers. NNT provides portability and ease of programming and at the same time optimizes performance by allowing the overlap of computation and communication to tolerate the latency of remote data moves. In this paper we describe NNT and the implementation of the Well Posed To

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Experiences with Parallel Programming in Meteorology,d, who are managing the MPP efforts at ECMWF. Then there are the members of the parallel group at ECMWF — present and past — Lars Isaksen, Tuomo Kauranne, Saulo Barros and Guy Robinson. Special appreciation is due to our German collaborators Ute Gaertel, Toni Schueller and Wolfgang Joppisch from GMD

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Porting the Quasi-Nonhydrostatic Meteorological Model to the Kendall Square Research KSR1,n use. As part of that effort we have ported a “Quasi-Nonhydrostatic” Meteorological Model to the Kendall Square Research KSR1 parallel supercomputer. The porting was done in three stages: first the original sequential code was made efficient on one processor, then the code was parallelized using “t

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