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International Journal of High Performance Computing Applications
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A Scalable Implementation of a Finite-Volume Dynamical Core in the Community Atmosphere Model

Arthur A. Mirin

Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore, CA 94550, USA, mirin{at}llnl.gov

William B. Sawyer

Swiss Federal Institute of Technology (ETHZ) Rämistrasse 101, 8092 Zurich, Switzerland

We present a distributed memory message passing parallel implementation of a finite-volume discretization of the primitive equations in the Community Atmosphere Model. Due to the data dependences resulting from the polar singularity of the latitude-longitude coordinate system, we employ two separate domain decompositions within the dynamical core: one in latitude/level space and the other in longitude/latitude space. This requires that the data be periodically redistributed between these two decompositions. In addition, the domains contain halo regions that cover the nearest-neighbor data dependences. A combination of several techniques, such as one-sided communication and multithreading, are presented to optimize data movements. The resulting algorithm is shown to scale to very large machine configurations, even for relatively coarse resolutions.

Key Words: atmospheric dynamics • parallel processing

International Journal of High Performance Computing Applications, Vol. 19, No. 3, 203-212 (2005)
DOI: 10.1177/1094342005056096
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