A SAT-based implication engine for efficient ATPG, equivalence checking, and optimization of netlists

P. Tafertshofer, A. Ganz, M. Henftling
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引用次数: 70

Abstract

The paper presents a flexible and efficient approach to evaluating implications as well as deriving indirect implications in logic circuits. Evaluation and derivation of implications are essential in ATPG, equivalence checking, and netlist optimization. Contrary to other methods, the approach is based on a graph model of a circuit's clause description called implication graph. It combines both the flexibility of SAT-based techniques and high efficiency of structure based methods. As the proposed algorithms operate only on the implication graph, they are independent of the chosen logic. Evaluation of implications and computation of indirect implications are performed by simple and efficient graph algorithms. Experimental results for various applications relying on implication demonstrate the effectiveness of the approach.
一个基于sat的隐含引擎,用于高效的ATPG,等价性检查和网络列表的优化
本文提出了一种灵活而有效的方法来评估逻辑电路中的隐含意义以及推导间接隐含意义。评估和推导的含义是必不可少的在ATPG,等价性检查,和网络列表优化。与其他方法相反,该方法是基于电路子句描述的图形模型,称为隐含图。它结合了基于sat技术的灵活性和基于结构方法的高效率。由于所提出的算法仅在隐含图上运行,因此它们与所选择的逻辑无关。用简单有效的图算法对隐含意义进行评价和间接隐含意义的计算。基于隐含的各种应用的实验结果证明了该方法的有效性。
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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