Analyses of Pointers, Induction Variables, and Container Objects for Dependence Testing
Wu, Peng
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https://hdl.handle.net/2142/81587
Description
Title
Analyses of Pointers, Induction Variables, and Container Objects for Dependence Testing
Author(s)
Wu, Peng
Issue Date
2001
Doctoral Committee Chair(s)
Padua, David A.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
The last analysis targets container objects that are provided by standard libraries. Object-oriented design plays an increasing role in performance-critical codes. When dealing with general-purpose programs, arrays share their preeminence with more general container components, such as lists, sets, and hash-tables. We provide a pointer analysis that accurately models containers, iterators, and container-element connections. The analysis is an extension of Sagiv, Reps and Wilhelm's shape analysis for destructive updating. The output of the analysis can be interpreted as alias relations, shape properties, or connectivity.
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