{"title":"A Critical-Section-Level timing synchronization approach for deterministic multi-core instruction-set simulations","authors":"Fan-Wei Yu, Bo-Han Zeng, Yu-Hung Huang, Hsin-I Wu, Che-Rung Lee, R. Tsay","doi":"10.7873/DATE.2013.140","DOIUrl":null,"url":null,"abstract":"This paper proposes a Critical-Section-Level timing synchronization approach for deterministic Multi-Core Instruction-Set Simulation (MCISS). By synchronizing at each lock access instead of every shared-variable access and using a simple lock usage status managing scheme, our approach significantly improves simulation performance while executing all critical sections in a deterministic order. Experiments show that our approach performs 295% faster than the shared-variable synchronization approach on average and can effectively facilitate system-level software/hardware co-simulation.","PeriodicalId":6310,"journal":{"name":"2013 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"34 1","pages":"643-648"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Design, Automation & Test in Europe Conference & Exhibition (DATE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7873/DATE.2013.140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper proposes a Critical-Section-Level timing synchronization approach for deterministic Multi-Core Instruction-Set Simulation (MCISS). By synchronizing at each lock access instead of every shared-variable access and using a simple lock usage status managing scheme, our approach significantly improves simulation performance while executing all critical sections in a deterministic order. Experiments show that our approach performs 295% faster than the shared-variable synchronization approach on average and can effectively facilitate system-level software/hardware co-simulation.