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We introduce a new framework for elimination-based data flow analysis. We present a simple algorithm and a delayed algorithm that exhibit a worst-case complexity of O(n2) and Õ(m). The algorithms use a new compact data structure for representing reducible flow graphs called Annotated Decomposition Trees. This data structure extends a binary tree to represent flowgraph information, dominance relation of flowgraphs, and the topological order of nodes. The construction of the annotated decomposition trees runs in O(n + m). Experiments were conducted with reducible flowgraphs of the SPEC2000 benchmark suite.

A New Elimination-Based Data Flow Analysis Framework Using Annotated Decomposition Trees