| dc.contributor.author | Eachempati, Deepak | |
| dc.contributor.author | Richardson, Alan | |
| dc.contributor.author | Jana, Siddhartha | |
| dc.contributor.author | Liao, Terrence | |
| dc.contributor.author | Calandra, Henri | |
| dc.contributor.author | Chapman, Barbara | |
| dc.date.accessioned | 2016-08-30T22:46:34Z | |
| dc.date.available | 2016-08-30T22:46:34Z | |
| dc.date.issued | 2013-10 | |
| dc.date.submitted | 2013-03 | |
| dc.identifier.issn | 1386-7857 | |
| dc.identifier.issn | 1573-7543 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/104091 | |
| dc.description.abstract | In 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.publisher | Springer US | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1007/s10586-013-0302-7 | en_US |
| dc.rights | Article 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.source | Springer US | en_US |
| dc.title | A Coarray Fortran implementation to support data-intensive application development | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Eachempati, 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.department | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences | en_US |
| dc.contributor.mitauthor | Richardson, Alan | en_US |
| dc.relation.journal | Cluster Computing | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2016-05-23T12:16:49Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | Springer Science+Business Media New York | |
| dspace.orderedauthors | Eachempati, Deepak; Richardson, Alan; Jana, Siddhartha; Liao, Terrence; Calandra, Henri; Chapman, Barbara | en_US |
| dspace.embargo.terms | N | en |
| mit.license | PUBLISHER_POLICY | en_US |