{"title":"Property directed reachability with word-level abstraction","authors":"Yen-Sheng Ho, A. Mishchenko, R. Brayton","doi":"10.23919/FMCAD.2017.8102251","DOIUrl":null,"url":null,"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.","PeriodicalId":405292,"journal":{"name":"2017 Formal Methods in Computer Aided Design (FMCAD)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Formal Methods in Computer Aided Design (FMCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/FMCAD.2017.8102251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.