Performance analysis and optimization on the UCLA parallel atmospheric general circulation model code

Authors:
John Lou;John Farrara
Affiliations:
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA;Department of Atmospheric Sciences, University of California, Los Angeles, Los Angeles, CA
Venue:
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Year:
1996

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Abstract

An analysis is presented of several factors influencing the performance of a parallel implementation of the UCLA atmospheric general circulation model(AGCM) on massively parallel computer systems. Several modifications to the parallel AGCM code aimed at improving its numerical efficiency, interprocessor communication cost, load-balance and cache efficiency are discussed. The impact of some of the optimization strategies on the performance of the AGCM code as we implemented on several state-of-the-art parallel computers, including the Intel Paragon, Cray T3D and IBM SP2, is presented and analyzed.