A Dynamic Expansion Order Algorithm for the SAT-based Minimization

Chia-Chun Lin, Kit Seng Tam, Chana-Cheng Ko, Hsin-Ping Yen, Shenz-Hsiu Wei, Yung-Chih Chen, Chun-Yao Wang
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Abstract

Logic minimization attracted much attention in the early days because it is the engine for logic synthesis and optimization. Recently, a previous work proposed a SAT-based minimization algorithm for the patch function in the Engineering Change Order (ECO) problem. However, the algorithm is time-consuming for the functions in high dimension Boolean space. Therefore, in this paper, we propose an efficient algorithm that is suitable for the functions in high dimension Boolean space.
一种基于sat的动态扩展阶算法
逻辑最小化作为逻辑综合与优化的引擎,在早期受到了广泛的关注。近年来,已有研究提出了一种基于sat的工程变更单(ECO)问题中补丁函数的最小化算法。然而,该算法对于高维布尔空间中的函数来说耗时较长。因此,本文提出了一种适用于高维布尔空间中函数的高效算法。
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