使用具有属性定向可达性的非状态变量立方体

John D. Backes, Marc D. Riedel
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引用次数: 6

摘要

一种新的基于sat的符号模型检验算法越来越受欢迎。这种算法,被称为“增量构建归纳子句的无可置疑的正确性”(IC3)或“属性定向可达性”(PDR),使用从孤立时间框架的SAT实例中学习到的信息来证明不变量的存在,或者提供一个反例。在每个时间框架之间学习到的信息以状态变量的立方体的形式记录下来。在这项工作中,我们研究了将PDR扩展为使用中间变量的立方体来表示转换关系中的逻辑门的效果。我们证明,我们可以将可满足基准测试的运行时提高3.2倍,平均速度提高1.23倍。我们的方法还为不令人满意的基准测试提供了高达3.84X的加速。
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Using cubes of non-state variables with Property Directed Reachability
A new SAT-Based algorithm for symbolic model checking has been gaining popularity. This algorithm, referred to as “Incremental Construction of Inductive Clauses for Indubitable Correctness” (IC3) or “Property Directed Reachability” (PDR), uses information learned from SAT instances of isolated time frames to either prove that an invariant exists, or provide a counter example. The information learned between each time frame is recorded in the form of cubes of the state variables. In this work, we study the effect of extending PDR to use cubes of intermediate variables representing the logic gates in the transition relation. We demonstrate that we can improve the runtime for satisfiable benchmarks by up to 3.2X, with an average speedup of 1.23X. Our approach also provides a speedup of up to 3.84X for unsatisfiable benchmarks.
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