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Parallel Climate Data Assimilation PSAS PackageWe have designed and implemented a set of highly efficient and highly scalable algorithms for an unstructured computational package, the PSAS data assimilation package, as demonstrated by detailed performance analysis of systematic runs on up to 512node Intel Paragon. The equation solver achieves a sustained 18 Gflops performance. As the results, we achieved an unprecedented 100-fold solution time reduction on the Intel Paragon parallel platform over the Cray C90. This not only meets and exceeds the DAO time requirements, but also significantly enlarges the window of exploration in climate data assimilations.
Document ID
20060036178
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Ding, Hong Q.
Chan, Clara
Gennery, Donald B.
Ferraro, Robert D.
Date Acquired
August 23, 2013
Publication Date
June 1, 1996
Distribution Limits
Public
Copyright
Other
Keywords
PSAS data scalable algorithms Intel Paragon 512node Cray C90

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