3 research outputs found

    A Scalable Spectral Element Eulerian Atmospheric Model (SEE-AM) for NWP: Dynamical Core Tests

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    The Parallel Scalability of the Spectral Transform Method

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    This paper investigates the suitability of the spectral transform method for parallel implementation. The spectral transform method is a natural candidate for general circulation models designed to run on large-scale parallel computers due to the large number of existing serial and moderately parallel implementations. We present analytic and empirical studies that allow us to quantify the parallel performance, and hence the scalability, of the spectral transform method on different parallel computer architectures. We consider both the shallow-water equations and complete GCMs. Our results indicate that for the shallow-water equations parallel efficiency is generally poor because of high communication requirements. We predict that for complete global climate models, the parallel efficiency will be significantly better; nevertheless, projected Teraflop computers will have difficulty achieving acceptable throughput necessary for long-term regional climate studies. 1 Introduction Current ..

    The Parallel Scalability of the Spectral Transform Method

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