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Performance Analysis and Optimization on the UCLA Parallel Atmospheric General Circulation Model CodeAn 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.
Document ID
20060036447
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
hdl:2014/26364
Authors
Lou, John
Ferraro, Robert
Farrara, John
Mechoso, Carlos
Date Acquired
August 23, 2013
Publication Date
November 17, 1996
Subject Category
Communications And Radar
Distribution Limits
Public
Copyright
Other
Keywords
atmospheric study optimization strategies parallel computers numerical
efficiency interprocessor communication cost load-balance single-node code
performance

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