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The method of attributes for data flow analysis

Part II. Demand analysis

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Summary

The importance of producing data flow information on demand is discussed. The method of attributes is applied to the demand analysis of live variables.

Part I of this paper described the method of attributes, which is a technique for high level data flow analysis. In that paper, the method was applied to two well-known problems: analysis of dead variables and analysis of available expressions. Both of these analyses are called exhaustive because they uncover information for all program points.

In this part, we apply the method of attributes to a problem in demand data flow analysis.

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References

  1. Allen, F.: Program optimization. Ann. Rev. Automatic Programming 2, 239–307 (1969)

    Google Scholar 

  2. Babich, W.A.: High level data flow analysis using a parse tree representation of the program. Ph.D. dissertation, Department of Computer Science, University of North Carolina, Chapel Hill, N.C., TR-77-008, 1977

    Google Scholar 

  3. Crawford, J., Jazayeri, M.: An algorithm for hoisting. Proc. 15th Annual Southeast Regional ACM Conference, Biloxi, pp. 80–93, 1977

  4. Denning, P.: Resource allocation in multiprocess computer systems. Ph.D. dissertation, M.I.T., Project MAC Technical Report MAC-TR-50, 1968

  5. Graham, S., Wegman, M.: A fast and usually linear algorithm for global flow analysis. J. Assoc. Comput. Mach. 23, 172–202 (1976)

    Google Scholar 

  6. Hecht, M., Ullman, J.: A simple algorithm for global data flow analysis problems. SIAM J. Comput. 4, 519–532 (1975)

    Google Scholar 

  7. Kibler, D.F., Neighbors, J.M., Standish, T.A.: Program manipulation via an efficient production system. Proc. Symposium on Artificial Intelligence and Programming Languages, Rochester, 1977

  8. Lowry, E.S., Medlock, C.W.: Object code optimization. Comm. ACM 12, 13–22 (1969)

    Google Scholar 

  9. Rosen, B.K.: High-level data flow analysis. Comm. ACM 20, 712–724 (1977)

    Google Scholar 

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Babich, W.A., Jazayeri, M. The method of attributes for data flow analysis. Acta Informatica 10, 265–272 (1978). https://doi.org/10.1007/BF00264320

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  • DOI: https://doi.org/10.1007/BF00264320

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