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Communication Optimization on Automatic Program Parallelization

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4 Author(s)
Dong Chun-li ; Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou ; Zhao Rong-Cai ; Ma Zhuo-Jie ; Li Dong-Hong

Minimizing communication by increasing the locality of data references is an important optimization for achieving high performance on distributed memory machines. But in the progress of decomposition, reorganization is inevitable. And the communication produced by reorganization is inevitable too. In this paper, the authors present a linear decomposition algorithm that automatically finding computation and data decomposition, including finding data and computations decomposition that has data reorganization communication. And the authors improve the method and reduce the communication cost by merging parallel regions with the same data decomposition.

Published in:

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on  (Volume:1 )

Date of Conference:

July 30 2007-Aug. 1 2007

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