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An 18 GFLOPS parallel climate data assimilation PSAS package
- Source :
- Computers & Mathematics with Applications. (7):55-63
- Publisher :
- Published by Elsevier Ltd.
-
Abstract
- We have designed and implemented a set of highly efficient and highly scalable algorithms for an unstructured computational package, the PSAS data simulation package, as demonstrated by detailed performance analysis of systematic runs 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.
- Subjects :
- Conjugate gradient solver
ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATION
Computer science
Data simulation
Performance
Parallel computing
FLOPS
Computer platform
Computational science
Intel Paragon
Cray C90
Set (abstract data type)
Reduction (complexity)
Computational Mathematics
Data assimilation
Computational Theory and Mathematics
Modeling and Simulation
Modelling and Simulation
Climate modeling
PSAS software package
Subjects
Details
- Language :
- English
- ISSN :
- 08981221
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Computers & Mathematics with Applications
- Accession number :
- edsair.doi.dedup.....bf2a588eeff914708eecaf99fb5ad95e
- Full Text :
- https://doi.org/10.1016/S0898-1221(98)00032-7