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A/D graphs — A data structure for data dependence analysis in programs with pointers

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Parallel Computation (ACPC 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1127))

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References

  1. S. Amarasinghe, J. Ander, C.W. Tseng: An overview of the SUIF compiler for scalable parallel machines. SIAM Conference on Parallel Processing for Scientific Computing, San Francisco, 1995.

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  2. W. Amme, E. Zehendner: A/D Graphs. A Data Structure for Data Dependence Analysis in Programs with Pointers. Proceedings of the 4th Workshop on Parallel Systems and Algorithms (PASA'96), Julich, 1996.

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  3. S. Horwitz, P. Pfeiffer, T. Reps: Dependence analysis for pointer variables. Proceedings of the ACM SIGPLAN Symposium on Compiler Construction, Portland, 1989, p. 28–40.

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  4. J.R. Larus, P.N. Hilfinger: Detecting conflicts between structure accesses. Proceedings of the ACM SIGPLAN' 88 Conference on programming Languages Design and Implementation, ACM SIGPLAN Notices, Vol. 21 (1988) 21–34.

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Authors and Affiliations

  1. Computer Science Department, Friedrich-Schiller-University, D-07740, Jena, Germany

    Wolfram Amme & Eberhard Zehendner

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  1. Wolfram Amme
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  2. Eberhard Zehendner
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László Böszörményi

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© 1996 Springer-Verlag Berlin Heidelberg

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Amme, W., Zehendner, E. (1996). A/D graphs — A data structure for data dependence analysis in programs with pointers. In: Böszörményi, L. (eds) Parallel Computation. ACPC 1996. Lecture Notes in Computer Science, vol 1127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61695-0_24

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  • DOI: https://doi.org/10.1007/3-540-61695-0_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61695-5

  • Online ISBN: 978-3-540-70645-8

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