A Coarray Fortran implementation to support data-intensive application development

Author(s)
Eachempati, Deepak; Richardson, Alan; Jana, Siddhartha; Liao, Terrence; Calandra, Henri; ... Show more
Thumbnail
Download10586_2013_302_ReferencePDF.pdf (1.054Mb)
PUBLISHER_POLICY
Terms of use
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.
Metadata
Show full item record
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.
Date issued
2013-10
URI
http://hdl.handle.net/1721.1/104091
Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Journal
Cluster Computing
Publisher
Springer US
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.
Version: Author's final manuscript
ISSN
1386-7857
1573-7543
Collections