2002
DOI: 10.1007/3-540-46043-8_76
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Parallel Implementation of the INM Atmospheric General Circulation Model on Distributed Memory Multiprocessors

Abstract: Abstract. The paper is devoted to a distributed memory parallel implementation of a finite difference Eulerian global atmospheric model utilizing semi-implicit time stepping algorithm. The applied two-dimensional checkerboard partitioning of data in horizontal plane necessitates boundary exchanges between the neighboring processors all over the model code and multiple transpositions in the Helmholtz equation solver. Nevertheless, quite reasonable performance has been attained on a set of cluster multiprocessor… Show more

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Cited by 3 publications
(2 citation statements)
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“…The atmosphere general circulation model uses a semi-implicit integration scheme that requires solving an auxiliary Helmholtz-type equation at each dynamical step. The current version uses a fast Fourier transform based algorithm and requires global data transposing for its parallel implementation [10].…”
Section: Inm Ras Earth System Modelmentioning
confidence: 99%
“…The atmosphere general circulation model uses a semi-implicit integration scheme that requires solving an auxiliary Helmholtz-type equation at each dynamical step. The current version uses a fast Fourier transform based algorithm and requires global data transposing for its parallel implementation [10].…”
Section: Inm Ras Earth System Modelmentioning
confidence: 99%
“…We highlight some technical details of these approaches that could be interesting to application developers, not only from the area of climate studies but from other fields also. While an application of distributed memory paradigm to the full INM atmospheric general circulation model was described in [1], here we stress only on distributed memory implementation of its dynamical core responsible for integration of the governing equations. And the OpenMP paradigm was tested on the INM Ocean model that constitutes the ocean component of a coupled model [10].…”
Section: Introductionmentioning
confidence: 99%