File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Ocean circulation on the Intel Paragon: modeling and implementation

TitleOcean circulation on the Intel Paragon: modeling and implementation
Authors
Issue Date1996
Citation
Ieee Symposium On Parallel And Distributed Processing - Proceedings, 1996, p. 47-54 How to Cite?
AbstractIn this paper, we present the modeling and implementation of a grand-challenge problem in the field of scientific computation: the Primitive-Equation Numerical Ocean Circulation Model. We present the mathematical formulation of the model and propose a scheme for its parallel implementation. Optimizations are made through collective communications and various partitioning schemes. In our experiments using up to 100 processors on the Intel Paragon parallel computer, the proposed strategy yields an encouraging speedup and exhibits a sustained scalability with increasing both the problem and machine sizes. We consider barotropic continental shelf waves in a periodic channel as a test problem. The model has numerous applications in environmental studies and ocean sciences.
Persistent Identifierhttp://hdl.handle.net/10722/158176
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLeung, KaCheongen_US
dc.contributor.authorAhmad, Ishfaqen_US
dc.contributor.authorHsu, HsiaoMingen_US
dc.date.accessioned2012-08-08T08:58:24Z-
dc.date.available2012-08-08T08:58:24Z-
dc.date.issued1996en_US
dc.identifier.citationIeee Symposium On Parallel And Distributed Processing - Proceedings, 1996, p. 47-54en_US
dc.identifier.issn1063-6374en_US
dc.identifier.urihttp://hdl.handle.net/10722/158176-
dc.description.abstractIn this paper, we present the modeling and implementation of a grand-challenge problem in the field of scientific computation: the Primitive-Equation Numerical Ocean Circulation Model. We present the mathematical formulation of the model and propose a scheme for its parallel implementation. Optimizations are made through collective communications and various partitioning schemes. In our experiments using up to 100 processors on the Intel Paragon parallel computer, the proposed strategy yields an encouraging speedup and exhibits a sustained scalability with increasing both the problem and machine sizes. We consider barotropic continental shelf waves in a periodic channel as a test problem. The model has numerous applications in environmental studies and ocean sciences.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Symposium on Parallel and Distributed Processing - Proceedingsen_US
dc.titleOcean circulation on the Intel Paragon: modeling and implementationen_US
dc.typeConference_Paperen_US
dc.identifier.emailLeung, KaCheong:kcleung@eee.hku.hken_US
dc.identifier.authorityLeung, KaCheong=rp00147en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0029702330en_US
dc.identifier.spage47en_US
dc.identifier.epage54en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridLeung, KaCheong=7401860663en_US
dc.identifier.scopusauthoridAhmad, Ishfaq=7201878459en_US
dc.identifier.scopusauthoridHsu, HsiaoMing=7402358349en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats