optimizing sparse representations for dataflow analysis
Sparse program representations allow inter-statement dependences to be represented explicitly, enabling dataflow analyzers to restrict the propagation of information to paths where it could potentially affect the dataflow solution. This paper describes the use of a single sparse program representation, the value dependence graph, in both general and analysis-specific contexts, and demonstrates its utility in reducing the cost of dataflow analysis. We find that several semantics-preserving transformations are beneficial in both contexts.
optimality representation dataflow dataflow analysis analysis dependencies propagation informal affect paper use value graph general context utility cost semantic