Abstract
Based on some of our previous works, we show in this paper the possibility of accelerating complex analyses (such as shape analyses, dependence analyses...) thanks to a complete def-use chain analysis. In particular, we put our efforts in accelerating the shape analysis technique developed in our research group. Using the gathered Def-Use(DU) information, we have implemented a code slicing pass that computes the relevant statements required by a client analysis. This work is part of a heap-directed pointer analysis framework, where our final goal is the automatic parallelization of codes based on heap-stored dynamic/recursive data structures. © Springer-Verlag Berlin Heidelberg 2009.
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CITATION STYLE
Castillo, R., Corbera, F., Navarro, A., Asenjo, R., & Zapata, E. L. (2009). Complete Def-Use analysis in recursive programs with dynamic data structures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5415 LNCS, pp. 273–282). https://doi.org/10.1007/978-3-642-00955-6_32
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