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Productivity and performance using partitioned global address space languages
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Authors:
Katherine Yelick
University of California at Berkeley and Lawrence Berkeley National Laboratory
Dan Bonachea
University of California at Berkeley and Lawrence Berkeley National Laboratory
Wei-Yu Chen
University of California at Berkeley and Lawrence Berkeley National Laboratory
Phillip Colella
Lawrence Berkeley National Laboratory
Kaushik Datta
University of California at Berkeley and Lawrence Berkeley National Laboratory
Jason Duell
University of California at Berkeley and Lawrence Berkeley National Laboratory
Susan L. Graham
University of California at Berkeley
Paul Hargrove
University of California at Berkeley and Lawrence Berkeley National Laboratory
Paul Hilfinger
University of California at Berkeley
Parry Husbands
University of California at Berkeley and Lawrence Berkeley National Laboratory
Costin Iancu
Lawrence Berkeley National Laboratory
Amir Kamil
University of California at Berkeley
Rajesh Nishtala
University of California at Berkeley
Jimmy Su
University of California at Berkeley
Michael Welcome
Lawrence Berkeley National Laboratory
Tong Wen
Lawrence Berkeley National Laboratory
2007 Article
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Published in:
· Proceeding
PASCO '07
Proceedings of the 2007 international workshop on Parallel symbolic computation
Pages 24 - 32
ACM
New York, NY
, USA
©2007
table of contents
ISBN: 978-1-59593-741-4
doi>
10.1145/1278177.1278183
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Tags:
concurrent, distributed, and parallel languages
distributed data structures
gasnet
human factors
languages
nas parallel benchmarks
one-sided communication
partitioned global address space
performance
pgas
titanium
upc
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