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Intraprocedural Pointer Analysis for Container-Centric Applications

Albert Cohen 1 Peng Wu David Padua
1 A3 - Advanced analysis to code optimization
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France
Abstract : As programmers look forward to designing high performance applications with object-oriented models, compilers must support higher-level analyses and optimizations. Pointer analysis for container-centric applications is one of these: it exploits abstract semantics of container structures (e.g., lists, trees, associative maps) provided by standard libraries and toolkits. Extending shape analysis work by Sagiv, Reps and Wilhelm, we capture aliasing properties through dedicated points-to graphs. Formalizati- on in abstract interpretation allowed us to prove the abstraction's and transfer functions' safety. We ran the analysis on small examples. It achieved precise memory disambiguations useful to parallelization and optimization.
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https://hal.inria.fr/inria-00072298
Contributor : Rapport de Recherche Inria <>
Submitted on : Tuesday, May 23, 2006 - 8:20:19 PM
Last modification on : Wednesday, September 16, 2020 - 4:57:21 PM
Long-term archiving on: : Sunday, April 4, 2010 - 11:02:47 PM

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  • HAL Id : inria-00072298, version 1

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Albert Cohen, Peng Wu, David Padua. Intraprocedural Pointer Analysis for Container-Centric Applications. RR-4289, INRIA. 2001. ⟨inria-00072298⟩

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