{"title":"An efficient hybrid synchronization technique for scalable multi-core instruction set simulations","authors":"Bo-Han Zeng, R. Tsay, Ting-Chi Wang","doi":"10.1109/ASPDAC.2013.6509662","DOIUrl":null,"url":null,"abstract":"Multi-core system simulation techniques have been especially essential to system development in recent years. Although these techniques have been studied extensively, we have found that both conventional polling and collaborative timing synchronization approaches all encounter a severe scalability issue when the number of target cores is more than that of the host cores. To resolve this issue, we propose an effective hybrid technique that combines the advantage of the two approaches. According to the experimental results, the proposed technique effectively resolves the scalability issue and shows one to four orders of improvement compared to conventional approaches.","PeriodicalId":297528,"journal":{"name":"2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2013.6509662","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Multi-core system simulation techniques have been especially essential to system development in recent years. Although these techniques have been studied extensively, we have found that both conventional polling and collaborative timing synchronization approaches all encounter a severe scalability issue when the number of target cores is more than that of the host cores. To resolve this issue, we propose an effective hybrid technique that combines the advantage of the two approaches. According to the experimental results, the proposed technique effectively resolves the scalability issue and shows one to four orders of improvement compared to conventional approaches.