TY - JOUR
T1 - Bottom-up and top-down context-sensitive summary-based pointer analysis
AU - Nystrom, Erik M.
AU - Kim, Hong Seok
AU - Hwu, Wen Mei W.
PY - 2004
Y1 - 2004
N2 - This paper addresses scalability and accuracy of summary-based context-sensitive pointer analysis formulated as a two-phase computation. The first phase, or bottom-up phase, propagates procedure summaries from callees to callers. Then, the second phase, or top-down phase, computes the actual pointer information. These two phases can be independently context-sensitive. Having observed the problems that procedural side effects cause, we developed a bottom-up phase that constructs concise procedure summaries in a manner that permits their subsequent removal. This transformation results in an efficient two-phase pointer analysis in the style of Andersen [1] that is simultaneously bottom-up and top-down context-sensitive. Context sensitivity becomes inherent to even a context-insensitive analysis allowing for an accurate and efficient top-down phase. The implemented context-sensitive analysis exhibits scalability comparable to that of its context-insensitive counterpart. For instance, to analyze 176.gcc, the largest C benchmark in SPEC 2000, our analysis takes 190 seconds as opposed to 44 seconds for the context-insensitive analysis. Given the common practice of treating recursive subgraphs context-insensitively, its accuracy is equivalent to an analysis which completely inlines all procedure calls.
AB - This paper addresses scalability and accuracy of summary-based context-sensitive pointer analysis formulated as a two-phase computation. The first phase, or bottom-up phase, propagates procedure summaries from callees to callers. Then, the second phase, or top-down phase, computes the actual pointer information. These two phases can be independently context-sensitive. Having observed the problems that procedural side effects cause, we developed a bottom-up phase that constructs concise procedure summaries in a manner that permits their subsequent removal. This transformation results in an efficient two-phase pointer analysis in the style of Andersen [1] that is simultaneously bottom-up and top-down context-sensitive. Context sensitivity becomes inherent to even a context-insensitive analysis allowing for an accurate and efficient top-down phase. The implemented context-sensitive analysis exhibits scalability comparable to that of its context-insensitive counterpart. For instance, to analyze 176.gcc, the largest C benchmark in SPEC 2000, our analysis takes 190 seconds as opposed to 44 seconds for the context-insensitive analysis. Given the common practice of treating recursive subgraphs context-insensitively, its accuracy is equivalent to an analysis which completely inlines all procedure calls.
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M3 - Article
AN - SCOPUS:35048845602
SN - 0302-9743
VL - 3148
SP - 165
EP - 180
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -