Pushdown control-flow analysis for free

Abstract

Traditional control-flow analysis (CFA) for higher-order languages introduces spurious connections between callers and callees, and different invocations of a function may pollute each other's return flows. Recently, three distinct approaches have been published that provide perfect call-stack precision in a computable manner: CFA2, PDCFA, and AAC. Unfortunately, implementing CFA2 and PDCFA requires significant engineering effort. Furthermore, all three are computationally expensive. For a monovariant analysis, CFA2 is in O(2^n), PDCFA is in O(n^6), and AAC is in O(n^8). In this paper, we describe a new technique that builds on these but is both straightforward to implement and computationally inexpensive. The crucial insight is an unusual state-dependent allocation strategy for the addresses of continuations. Our technique imposes only a constant-factor overhead on the underlying analysis and costs only O(n^3) in the monovariant case. We present the intuitions behind this development, benchmarks demonstrating its efficacy, and a proof of the precision of this analysis.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 11, 2016
Source ID
10.1145/2914770.2837631

Entities

People

  • David Van Horn
  • Matthew Might
  • Michael D. Adams
  • Steven Lyde
  • Thomas Gilray

Organizations

  • Defense Advanced Research Projects Agency
  • National Science Foundation
  • University of Maryland
  • University of Utah

Tags

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Mathematical Modeling and Probability Theory.
  • Parallel and Distributed Computing.