Non-disjoint Decomposition Using r-admissibility and Graph Coloring and Its Application in Index Generation Functions Minimization

T. Mazurkiewicz, T. Luba
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引用次数: 4

Abstract

Functional decomposition is a crucial task in logic synthesis. In this paper we present a theory for finding such decomposition using the notion of r-admissibility and graph coloring. In particular, a method for generating the set of bound variables in the non-disjoint scheme is presented. We present the results of experiments, which apply proposed algorithm to minimize specific Boolean functions called index generation functions. In this way we prove that functional decomposition can efficiently reduce the size of used memory in memory-based logic synthesis.
基于r-可容许性和图着色的不相交分解及其在索引生成函数最小化中的应用
功能分解是逻辑综合中的一项重要任务。在本文中,我们利用r-可容许性和图着色的概念,给出了一个求这种分解的理论。特别地,给出了一种在不相交格式下产生有界变量集的方法。我们给出了实验结果,应用所提出的算法来最小化特定的布尔函数,称为索引生成函数。通过这种方法,我们证明了在基于内存的逻辑合成中,功能分解可以有效地减少所使用的内存大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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