Dynamic detection and removal of inactive clauses in SAT with application in image computation

Aarti Gupta, Anubhav Gupta, Z. Yang, P. Ashar
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引用次数: 44

Abstract

In this paper, we present a new technique for the efficient dynamic detection and removal of inactive clauses, i.e. clauses that do not affect the solutions of interest of a Boolean satisfiability (SAT) problem. The algorithm is based on the extraction of gate connectivity information during generation of the Boolean formula from the circuit, and its use in the inner loop of a branch-and-bound SAT algorithm. The motivation for this optimization is to exploit the circuit structure information, which can be used to find unobservable gates at circuit outputs under dynamic conditions. It has the potential to speed up all applications of SAT in which the SAT formula is derived from a logic circuit. In particular, we find that it has considerable impact on an image computation algorithm based on SAT. We present practical results for benchmark circuits which show that the use of this optimization consistently improves the performance for reachability analysis, in some cases enabling the prototype tool to reach more states than otherwise possible.
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SAT中不活跃子句的动态检测与去除及其在图像计算中的应用
在本文中,我们提出了一种有效的动态检测和去除非活跃子句的新技术,即不影响布尔可满足性(SAT)问题的兴趣解的子句。该算法基于从电路生成布尔公式时提取门的连通性信息,并将其应用于分支定界SAT算法的内环。这种优化的动机是利用电路结构信息,可用于在动态条件下找到电路输出处的不可观察门。它有可能加速所有SAT的应用,其中SAT公式是由逻辑电路推导出来的。特别是,我们发现它对基于SAT的图像计算算法有相当大的影响。我们给出了基准电路的实际结果,表明使用这种优化可以持续提高可达性分析的性能,在某些情况下,使原型工具能够达到比其他方法更多的状态。
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