Virtual machine learning: Thinking like a computer architect
Michael Hind
CGO 2005
We present practical approximation methods for computing and representing interprocedural aliases for a program written in a language that includes pointers, reference parameters, and recursion. We present the following contributions: (1) a framework for interprocedural pointer alias analysis that handles function pointers by constructing the program call graph while alias analysis is being performed; (2) a flow-sensitive interprocedural pointer alias analysis algorithm; (3) a flow-insensitive interprocedural pointer alias analysis algorithm; (4) a flow-insensitive interprocedural pointer alias analysis algorithm that incorporates kill information to improve precision; (5) empirical measurements of the efficiency and precision of the three interprocedural alias analysis algorithms.
Michael Hind
CGO 2005
Michael Hind, Michael Burke, et al.
Scientific Programming
Michael Hind, Edmond Schonberg
TRI-Ada 1991
Michael Burke, Ron Cytron, et al.
ACM SIGPLAN Notices