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dc.contributor.authorEachempati, Deepak
dc.contributor.authorRichardson, Alan
dc.contributor.authorJana, Siddhartha
dc.contributor.authorLiao, Terrence
dc.contributor.authorCalandra, Henri
dc.contributor.authorChapman, Barbara
dc.date.accessioned2016-08-30T22:46:34Z
dc.date.available2016-08-30T22:46:34Z
dc.date.issued2013-10
dc.date.submitted2013-03
dc.identifier.issn1386-7857
dc.identifier.issn1573-7543
dc.identifier.urihttp://hdl.handle.net/1721.1/104091
dc.description.abstractIn this paper, we describe our experiences in implementing and applying Coarray Fortran (CAF) for the development of data-intensive applications in the domain of Oil and Gas exploration. The successful porting of reverse time migration (RTM), a data-intensive algorithm and one of the largest uses of computational resources in seismic exploration, is described, and results are presented demonstrating that the CAF implementation provides comparable performance to an equivalent MPI version. We then discuss further language extensions for supporting scalable parallel I/O operating on the massive data sets that are typical of applications used in seismic exploration.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10586-013-0302-7en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer USen_US
dc.titleA Coarray Fortran implementation to support data-intensive application developmenten_US
dc.typeArticleen_US
dc.identifier.citationEachempati, Deepak, Alan Richardson, Siddhartha Jana, Terrence Liao, Henri Calandra, and Barbara Chapman. “A Coarray Fortran Implementation to Support Data-Intensive Application Development.” Cluster Comput 17, no. 2 (October 12, 2013): 569–583.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.contributor.mitauthorRichardson, Alanen_US
dc.relation.journalCluster Computingen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-05-23T12:16:49Z
dc.language.rfc3066en
dc.rights.holderSpringer Science+Business Media New York
dspace.orderedauthorsEachempati, Deepak; Richardson, Alan; Jana, Siddhartha; Liao, Terrence; Calandra, Henri; Chapman, Barbaraen_US
dspace.embargo.termsNen
mit.licensePUBLISHER_POLICYen_US


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