A Coarray Fortran implementation to support data-intensive application development
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Author(s)
Eachempati, Deepak
Richardson, Alan
Jana, Siddhartha
Liao, Terrence
Calandra, Henri
Chapman, Barbara
Date Issued
October 2013
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.
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Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
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DOI of Published Version
https://doi.org/10.1007/s10586-013-0302-7
