{"title":"Parallel construction of the Symbolic Observation Graph","authors":"Hiba Ouni, Kais Klai, Belhassen Zouari","doi":"10.1109/HPCS48598.2019.9188053","DOIUrl":null,"url":null,"abstract":"Extended AbstractAn efficient way to cope with the combinatorial explosion problem induced by the model checking process is to compute the Symbolic Observation Graph (SOG) which is a condensed representation of the state space graph based on a symbolic encoding of the nodes. Another way is to parallelize the construction/traversal of the state space on multiple processors. In this paper, we combine the two mentioned approaches by proposing three different approaches to parallelize the construction of the SOG. A multi-threaded approach based on a dynamic load balancing and a shared memory architecture, a distributed approach based on a distributed memory architecture and a hybrid approach that combines the two previous approaches.","PeriodicalId":371856,"journal":{"name":"2019 International Conference on High Performance Computing & Simulation (HPCS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCS48598.2019.9188053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Extended AbstractAn efficient way to cope with the combinatorial explosion problem induced by the model checking process is to compute the Symbolic Observation Graph (SOG) which is a condensed representation of the state space graph based on a symbolic encoding of the nodes. Another way is to parallelize the construction/traversal of the state space on multiple processors. In this paper, we combine the two mentioned approaches by proposing three different approaches to parallelize the construction of the SOG. A multi-threaded approach based on a dynamic load balancing and a shared memory architecture, a distributed approach based on a distributed memory architecture and a hybrid approach that combines the two previous approaches.