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Interprocedural parallelization analysis in SUIF
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Authors:
Mary W. Hall
USC Information Sciences Institute, Marina del Rey, CA
Saman P. Amarasinghe
Massachusetts Institute of Technology, Cambridge, MA
Brian R. Murphy
Intel Corp.
Shih-Wei Liao
Intel Corp.
Monica S. Lam
Stanford University, Stanford, CA
2005 Article
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ACM Transactions on Programming Languages and Systems (TOPLAS)
TOPLAS Homepage
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Volume 27 Issue 4, July 2005
Pages 662 - 731
ACM
New York, NY
, USA
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doi>
10.1145/1075382.1075385
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Tags:
algorithms
array and vector processors
data dependence analysis
experimentation
interprocedural data-flow analysis
parallel architectures
parallelization
performance
processors
symbolic analysis
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