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A Satisfiability-Based Approximate Algorithm for Logic Synthesis Using Switching Lattices

机译:基于可满足性的开关格逻辑综合近似算法

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In recent years the realization of a logic function on two-dimensional arrays of four-terminal switches, called switching lattices, has attracted considerable interest. Exact and approximate methods have been proposed for the problem of synthesizing Boolean functions on switching lattices with minimum size, called lattice synthesis (LS) problem. However, the exact method can only handle relatively small instances and the approximate methods may find solutions that are far from the optimum. This paper introduces an approximate algorithm, called JANUS, that formalizes the problem of realizing a logic function on a given lattice, called lattice mapping (LM) problem, as a satisfiability problem and explores the search space of the LS problem in a dichotomic search manner, solving LM problems for possible lattice candidates. This paper also presents three methods to improve the initial upper bound and an efficient way to realize multiple logic functions on a single lattice. Experimental results show that JANUS can find solutions very close to the minimum in a reasonable time and obtain better results than the existing approximate methods. The solutions of JANUS can also be better than those of the exact method, which cannot be determined to be optimal due to the given time limit, where the maximum gain on the number of switches reaches up to 25%.
机译:近年来,在称为开关晶格的四端子开关的二维阵列上实现逻辑功能引起了人们的极大兴趣。对于在最小尺寸的切换晶格上合成布尔函数的问题,已经提出了精确和近似的方法,称为晶格合成(LS)问题。但是,精确方法只能处理相对较小的实例,而近似方法可能会找到远非最优的解决方案。本文介绍一种称为JANUS的近似算法,该算法将在给定晶格上实现逻辑功能的问题(称为晶格映射(LM)问题)形式化为可满足性问题,并以二分搜索的方式探索LS问题的搜索空间,为可能的晶格候选者解决LM问题。本文还提出了三种改善初始上限的方法,以及一种在单个晶格上实现多个逻辑功能的有效方法。实验结果表明,与现有的近似方法相比,JANUS可以在合理的时间内找到非常接近最小值的解,并且可以获得更好的结果。 JANUS的解决方案也可能比精确方法的解决方案更好,后者由于给定的时间限制而无法确定为最佳方法,因为在此期间开关数量的最大增益高达25%。

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