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The Omega test: a fast and practical integer programming algorithm for dependence analysis

Pugh, William·1991·Proceedings of the 1991 ACM/IEEE conference on Supercomputing - Supercomputing '91

Abstract

The Omega test is an integer programming algorithm that can determine whether a dependence exists between two array references, and if so, under what conditions. Conventional wisdom holds that integer programming techniques are far too expensive to be used for dependence analysis, except as a method of last resort for situations that cannot be decided by simpler methods. We present evidence that suggests this wisdom is wrong, and that the Omega test is competitive with approximate algorithms used in practice and suitable for use in production compilers. Experiments suggest that, for almost all programs, the average time required by the Omega test to determine the direction vectors for an array pair is less than 500 ¯secs on a 12 MIPS workstation. The Omega test is based on an extension of Fourier-Motzkin variable elimination (a linear programming method) to integer programming, and has worst-case exponential time complexity. However, we show that for many situations in which other (po...

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Metadata

Authors
Pugh, W.
Venue
Proceedings of the 1991 ACM/IEEE conference on Supercomputing - Supercomputing '91
Publisher
ACM Press
Published
1991
Pages
4-13
ISSN
1063-9535 (ISSN-L)
OpenAlex
W2097699872
Cited by
750
References
0
FWCI
7.65
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Omega test: a fast and practical integer programming algorithm for dependence analysis. https://app.cochat.ai/papers/10.1145/125826.125848
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Pugh, W. (1991). The Omega test: a fast and practical integer programming algorithm for dependence analysis. Proceedings of the 1991 ACM/IEEE conference on Supercomputing - Supercomputing '91. https://doi.org/10.1145/125826.125848

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