Fixpoint computation for polyvariant static analyses of higher-order applicative programs

Author:

Ashley J. Michael1,Consel Charles2

Affiliation:

1. Indiana Univ.

2. Oregon Graduate Institute, Portland

Abstract

This paper presents an optimized general-purpose algorithm for polyvariant, static analyses of higher-order applicative programs. A polyvariant analysis is a very accurate form of analysis that produces many more abstract descriptions for a program than does a conventional analysis. It may also compute intermediate abstract descriptions that are irrelevant to the final result of the analysis. The optimized algorithm addresses this overhead while preserving the accuracy of the analysis. The algorithm is also parameterized over both the abstract domain and degree of polyvariance. We have implemented an instance of our algorithm and evaluated its performance compared to the unoptimized algorithm. Our implementation runs significantly faster on average than the other algorithm for benchmarks reported here.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GPU-accelerated fixpoint algorithms for faster compiler analyses;Proceedings of the 28th International Conference on Compiler Construction - CC 2019;2019

2. Offline partial evaluation can be as accurate as online partial evaluation;ACM Transactions on Programming Languages and Systems;2004-01

3. Towards bridging the gap between programming languages and partial evaluation;ACM SIGPLAN Notices;2002-03

4. Binding-time analysis for both static and dynamic expressions;New Generation Computing;2002-03

5. Binding-Time Analysis in Partial Evaluation: One Size Does Not Fit All;Lecture Notes in Computer Science;2000

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