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Testing Flow Graph Reducibility

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Abstract

Many problems in program optimizationn have been solved by applying a technique called interval analysis to the flow graph of the program. A flow graph which is susceptible to this type of analysis is called reducible. This paper describes an algorithm for testing whether a flow graph is reducible. The algorithm uses depth-first search to reveal the structure of the flow graph and a good method for computing disjoint set unions to determine reducibility from the search information. When the algorithm is implemented on a random access computer, it requires O(ElogE) time to analyze a graph with E edges, where logx=min{i|logix≤1}. The time bound compares favorably with the O(ElogE) bound of a previously known algorithm.

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1973-01

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Cornell University

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computer science; technical report

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http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR73-159

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technical report

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