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An array data flow analysis based communication optimizer

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Book cover Languages and Compilers for Parallel Computing (LCPC 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1366))

Abstract

We present an efficient array data flow analysis based global communication optimizer which manages the analysis cost by partitioning the data flow problems into subproblems and solving the subproblems one at a time in a demand driven manner. In comparison to traditional array data flow based techniques, our scheme greatly reduces the memory requirement and manages the analysis time more effectively. The optimizer performs message vectorization, global redundant communication elimination and global communication scheduling. Our experience with the optimizer suggests that array data flow analysis for communication optimization is efficient and effective.

Partially supported by NSF Presidential Young Investigator Award CCR-9157371

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Univ. of Pittsburgh, 15260, Pittsburgh, PA

    Xin Yuan, Rajiv Gupta & Rami Melhem

Authors
  1. Xin Yuan
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  2. Rajiv Gupta
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  3. Rami Melhem
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Editor information

Zhiyuan Li Pen-Chung Yew Siddharta Chatterjee Chua-Huang Huang P. Sadayappan David Sehr

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© 1998 Springer-Verlag Berlin Heidelberg

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Yuan, X., Gupta, R., Melhem, R. (1998). An array data flow analysis based communication optimizer. In: Li, Z., Yew, PC., Chatterjee, S., Huang, CH., Sadayappan, P., Sehr, D. (eds) Languages and Compilers for Parallel Computing. LCPC 1997. Lecture Notes in Computer Science, vol 1366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032697

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  • DOI: https://doi.org/10.1007/BFb0032697

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64472-9

  • Online ISBN: 978-3-540-69788-6

  • eBook Packages: Springer Book Archive

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