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An efficient general iterative algorithm for dataflow analysis

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Summary

Existing iterative algorithms for global dataflow analysis have demonstrable shortcomings; either they can be used only for a limited class of problems or they are needlessly inefficient in some cases. We review several algorithms, pointing out weaknesses and develop a new algorithm that can be used for a wide class of problems and has a runtime that compares favorably ro runtimes of existing algorithms.

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Authors and Affiliations

  1. Computer Sciences Department, University of Wisconsin-Madison, 1210 W. Dayton Street, 53706, Madison, WI, USA

    Susan Horwitz

  2. Xerox PARC, 3333 Coyote Hill Road, 94304, Palo Alto, CA, USA

    Alan Demers

  3. Department of Computer Science, Cornell University, 405 Upson Hall, 14853, Ithaca, NY, USA

    Tim Teitelbaum

Authors
  1. Susan Horwitz
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  2. Alan Demers
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  3. Tim Teitelbaum
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Horwitz, S., Demers, A. & Teitelbaum, T. An efficient general iterative algorithm for dataflow analysis. Acta Informatica 24, 679–694 (1987). https://doi.org/10.1007/BF00282621

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  • DOI: https://doi.org/10.1007/BF00282621

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