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Enhancing logic synthesis of switching lattices by generalized Shannon decomposition methods

机译:广义Shannon分解法增强开关晶格的逻辑综合。

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In this paper we propose a novel approach to the synthesis of minimal-sized lattices, based on the decomposition of logic functions. Since the decomposition allows to obtain circuits with a smaller area, our idea is to decompose the Boolean functions according to generalizations of the classical Shannon decomposition, then generate the lattices for each component function, and finally implement the original function by a single composed lattice obtained by gluing together appropriately the lattices of the component functions. In particular we study the two decomposition schemes defining the bounded-level logic networks called P-circuits and EXOR-Projected Sums of Products (EP-SOPs). Experimental results show that about 34% of our benchmarks achieve a smaller area when implemented using the P-circuit decomposition for switching lattices, with an average gain of at least 25%, and about 27% of our benchmarks achieve a smaller area when implemented using the EP-SOP decomposition, with an average gain of at least 22%.
机译:在本文中,我们提出了一种基于逻辑函数分解的最小尺寸晶格合成的新方法。由于分解允许获得面积较小的电路,因此我们的想法是根据经典Shannon分解的广义分解布尔函数,然后为每个分量函数生成晶格,最后通过获得的单个组合晶格实现原始函数通过适当地将组件功能的网格粘合在一起。特别是,我们研究了两种定义有界逻辑网络的分解方案,称为P电路和EXOR乘积产品和(EP-SOP)。实验结果表明,使用P电路分解实现开关晶格时,约有34%的基准达到较小的面积,平均增益至少为25%;使用P电路分解时,约有27%的基准达到较小的面积EP-SOP分解,平均增益至少为22%。

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