Property directed reachability with word-level abstraction

Yen-Sheng Ho, A. Mishchenko, R. Brayton
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引用次数: 14

Abstract

SAT-based Property Directed Reachability (PDR) has become the key algorithmic development for unbounded model checking of gate-level sequential circuits, but it can be inefficient when applied to word-level problems with heavy arithmetic logic. To address this issue, word-level abstraction is often performed by replacing a whole set of signals with unconstrained new primary inputs. This paper introduces PDR-WLA, a wordlevel abstraction-refinement algorithm integrated into a modified PDR implementation. The algorithm uses efficient refinement and re-uses reachability information across iterations of refinement. PDR-WLA was implemented in ABC and evaluated on a large set of industrial Verilog designs. Experimental results show significant speedups on hard problems compared to the original PDR and to a naive word-level abstraction-refinement method.
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具有字级抽象的属性定向可达性
基于sat的属性定向可达性(PDR)已成为门级顺序电路无界模型检验的关键算法,但在处理算术逻辑较重的字级问题时,PDR算法效率低下。为了解决这个问题,单词级抽象通常通过用不受约束的新主要输入替换一整套信号来执行。本文介绍了一种集成在改进的PDR实现中的词级抽象-细化算法PDR- wla。该算法使用高效的细化,并在细化迭代中重用可达性信息。PDR-WLA在ABC中实现,并在Verilog的大量工业设计中进行了评估。实验结果表明,与原始的PDR和朴素的词级抽象-细化方法相比,该方法在解决难题方面有显著的加快。
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