DocumentCode
426860
Title
Climate Data Assimilation on a Massively Parallel Supercomputer
Author
Ding, Hong Q. ; Ferraro, Robert D.
Author_Institution
California Institute of Technology, Pasadena, CA
fYear
1996
fDate
1996
Firstpage
15
Lastpage
15
Abstract
We 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 512-nodes of an Intel Paragon. The preconditioned Conjugate Gradient solver achieves a sustained 18 Gflops performance. Consequently, we achieve an unprecedented 100-fold reduction in time to solution on the Intel Paragon over a single head of a Cray C90. This not only exceeds the daily performance requirement of the Data Assimilation Office at NASA´s Goddard Space Flight Center, but also makes it possible to explore much larger and challenging data assimilation problems which are unthinkable on a traditional computer platform such as the Cray C90.
Keywords
Algorithm design and analysis; Data assimilation; Earth; High performance computing; Laboratories; Packaging; Performance analysis; Production; Propulsion; Supercomputers;
fLanguage
English
Publisher
ieee
Conference_Titel
Supercomputing, 1996. Proceedings of the 1996 ACM/IEEE Conference on
Print_ISBN
0-89791-854-1
Type
conf
DOI
10.1109/SUPERC.1996.183521
Filename
1392890
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