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Application and analysis of unsatisfiable cores on circuits synthesis

机译:不合格铁芯在电路综合中的应用与分析

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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:解释布尔公式不可行的原因在各个领域都有实际应用。一个最小基数不能满足的子集,称为最小不满足核心,可以提供对不可行的简洁解释,对于诸如解码电路的自动合成之类的应用非常有价值。因此,将导出最小不满足核心的两种算法(分别称为贪婪遗传算法和分支定界算法)集成到了综合工具中。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和每秒删除子句方面的性能优于分支定界算法。还得出结论,不满足要求的内核在解码电路的自动合成中起着非常重要的作用。

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