Query-directed adaptive heap cloning for optimizing compilers

Andersen’s pointer analysis becomes more precise when applied with full heap cloning but unscalable for large, heapintensive programs. In contrast, k-callsite-sensitive heap cloning can be faster but less precise for some programs. In this paper, we make one step forward by enhancing Andersen’s analysis with QUery-Directed Adaptive (QUDA) heap cloning for optimizing compilers. The novelty of our analysis, called QUDA, lies in performing k-callsite-sensitive heap cloning iteratively, starting with ithout heap cloning), so that an abstract heap object is cloned at iteration k = i + 1 only if some mayalias queries that are not answered positively at iteration k = i may now be answered more precisely. QUDA, which is implemented in Open64, has the same precision as the state-of-the-art, FULCRA, a version of QUDA with exhaustive heap cloning, but is significantly more scalable. For 10 SPEC2000 C benchmarks and 5 C applications (totalling 840 KLOC) evaluated, QUDA takes only 4+ minutes ...

• Type: Journal
• Year: 2013
• Where: CGO
• Authors: Yulei Sui, Yue Li, Jingling Xue
• Keywords: CGO 2013, Software Engineering