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A Coarray Fortran implementation to support data-intensive application development

delete2013-10-12
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OA
AI
D
Deepak Eachempati *
A
Alan Richardson
S
Siddhartha Jana
T
Terrence Liao
H
Henri Calandra
B
Barbara Chapman
DOI:10.1007/s10586-013-0302-7delete
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摘要

摘要

En 中文
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.
Keyword:
Parallel I/O
PGAS
Compilers
Language design

期刊

C
Cluster Computing-The Journal of Networks Software Tools and Applications
IF:
4.1
论文数:
5.1K
被引数:
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university of houston system
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U
university of houston
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total sa
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