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Application and analysis of unsatisfiable cores on circuits synthesis

机译:对缺乏核心在电路合成上的应用与分析

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Explaining the causes of infeasibility of Boolean formulas has practical applications in various fields. A smallest-cardinality unsatisfiable subset, called a minimum unsatisfiable core, can provide a succinct explanation of infeasibility and is valuable for applications, such as automatic synthesis of decoding circuits. Therefore, two algorithms of deriving minimum unsatisfiable cores, respectively called the greedy-genetic algorithm and branch-and-bound algorithm, are integrated into the synthesis tool. Some standard encoding circuits in communications are adopted as the benchmark. The results show that the greedy-genetic algorithm outperforms the branch-and-bound algorithm on runtime and removed clauses per second. It is also concluded that the unsatisfiable cores play a very important role in automatic synthesis of decoding circuits.
机译:解释布尔公式的不可行性的原因在各个领域具有实际应用。最小的基数不匹配的子集,称为最小不可采取的核心,可以提供对不可行性的简洁解释,并且对应用的应用是有价值的,例如解码电路的自动合成。因此,两种导出最小不可选择核心的两个算法分别称为贪婪 - 遗传算法和分支和绑定算法,集成到合成工具中。通信中的一些标准编码电路被用作基准。结果表明,贪婪 - 遗传算法在运行时概率胜过分支和绑定算法,并将条款删除每秒。还结论,不挑离的核心在自动合成解码电路中起着非常重要的作用。

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