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Performance Analysis and Optimization on the UCLA Parallel Atmospheric General Circulation Model Code

Performance Analysis and Optimization on the UCLA Parallel Atmospheric General Circulation Model Code

Lou, John; Ferraro, Robert; Farrara, John; Mechoso, Carlos
URI: http://hdl.handle.net/2014/26364
Date: 1996-11-17
Citation: Pittsburgh, Pennsylvania, USA

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 modificaitons to the original parallel AGCM code aimed at improving its numerical efficiency, interprocessor communication cost, load-balance and issues affecting single-node code performance are discussed.

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