Graph-Based Algorithms for Boolean Function Manipulation
Bryant, R.E.
Department of Computer Science, Carnegie-Mellon University;
This paper appears in: Computers, IEEE Transactions on
Publication Date: Aug. 1986
Volume: C-35,
Issue: 8
On page(s): 677-691
ISSN: 0018-9340
Digital Object Identifier: 10.1109/TC.1986.1676819
Current Version Published: 2006-08-21
Abstract
In this paper we present a new data structure for representing Boolean functions and an associated set of manipulation algorithms. Functions are represented by directed, acyclic graphs in a manner similar to the representations introduced by Lee [1] and Akers [2], but with further restrictions on the ordering of decision variables in the graph. Although a function requires, in the worst case, a graph of size exponential in the number of arguments, many of the functions encountered in typical applications have a more reasonable representation. Our algorithms have time complexity proportional to the sizes of the graphs being operated on, and hence are quite efficient as long as the graphs do not grow too large. We present experimental results from applying these algorithms to problems in logic design verification that demonstrate the practicality of our approach.
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