{"title":"一个可证明正确的,非死锁并行事件模拟算法","authors":"Meng-Lin Yu, Sumit Ghosh, E. Debenedictis","doi":"10.1109/SIMSYM.1991.151493","DOIUrl":null,"url":null,"abstract":"This paper first summarizes and then presents a formal proof to a new conservative deadlock-free algorithm, YADDES, for asynchronous discrete event simulation. The proof not only makes the algorithm complete but helps better understand the seemingly complicated algorithm. YADDES constructs a special acyclic data-flow network from the network of simulation models to keep track of the run time data dependencies, which permits a model to be correctly executed as far ahead in time as possible. The data-flow network also uses the asynchronous parallel discrete event driven technique and runs concurrently with the network of simulation models. This paper also reports a preliminary implementation of the algorithm and discusses the algorithm's limitations.<<ETX>>","PeriodicalId":174131,"journal":{"name":"[1991] Proceedings of the 24th Annual Simulation Symposium","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A provably correct, non-deadlocking parallel event simulation algorithm\",\"authors\":\"Meng-Lin Yu, Sumit Ghosh, E. Debenedictis\",\"doi\":\"10.1109/SIMSYM.1991.151493\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper first summarizes and then presents a formal proof to a new conservative deadlock-free algorithm, YADDES, for asynchronous discrete event simulation. The proof not only makes the algorithm complete but helps better understand the seemingly complicated algorithm. YADDES constructs a special acyclic data-flow network from the network of simulation models to keep track of the run time data dependencies, which permits a model to be correctly executed as far ahead in time as possible. The data-flow network also uses the asynchronous parallel discrete event driven technique and runs concurrently with the network of simulation models. This paper also reports a preliminary implementation of the algorithm and discusses the algorithm's limitations.<<ETX>>\",\"PeriodicalId\":174131,\"journal\":{\"name\":\"[1991] Proceedings of the 24th Annual Simulation Symposium\",\"volume\":\"172 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Proceedings of the 24th Annual Simulation Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIMSYM.1991.151493\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings of the 24th Annual Simulation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIMSYM.1991.151493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A provably correct, non-deadlocking parallel event simulation algorithm
This paper first summarizes and then presents a formal proof to a new conservative deadlock-free algorithm, YADDES, for asynchronous discrete event simulation. The proof not only makes the algorithm complete but helps better understand the seemingly complicated algorithm. YADDES constructs a special acyclic data-flow network from the network of simulation models to keep track of the run time data dependencies, which permits a model to be correctly executed as far ahead in time as possible. The data-flow network also uses the asynchronous parallel discrete event driven technique and runs concurrently with the network of simulation models. This paper also reports a preliminary implementation of the algorithm and discusses the algorithm's limitations.<>