Abstract
We have developed a high level library, the Nearest Neighbor Tool (NNT), to facilitate the coding of finite difference approximation weather prediction 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 Topographic model (WPT), a finite difference approximation weather prediction model. We present a qualitative study of the performance of the code on various multiprocessors and evaluate the effectiveness of NNT.
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© 1995 Springer Science+Business Media Dordrecht
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Rodriguez, B., Hart, L., Henderson, T. (1995). Performance and Portability in Parallel Computing: A Weather Forecast View. In: Le Dimet, FX. (eds) High Performance Computing in the Geosciences. NATO Science Series, vol 462. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0033-5_1
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DOI: https://doi.org/10.1007/978-94-011-0033-5_1
Publisher Name: Springer, Dordrecht
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