Memory-Efficient Fixpoint Computation

@inproceedings{Kim2020MemoryEfficientFC,
  title={Memory-Efficient Fixpoint Computation},
  author={Sung Kook Kim and Arnaud Venet and Aditya V. Thakur},
  booktitle={SAS},
  year={2020}
}
Practical adoption of static analysis often requires trading precision for performance. This paper focuses on improving the memory efficiency of abstract interpretation without sacrificing precision or time efficiency. Computationally, abstract interpretation reduces the problem of inferring program invariants to computing a fixpoint of a set of equations. This paper presents a method to minimize the memory footprint in Bourdoncle's iteration strategy, a widely-used technique for fixpoint… Expand

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