{"title":"正在进行的工作:结合实时和多线程","authors":"S. Osborne, James H. Anderson","doi":"10.1109/RTSS.2018.00024","DOIUrl":null,"url":null,"abstract":"The existing sporadic task model is inadequate for real-time systems to take advantage of Simultaneous Multithreading (SMT), which has been shown to improve performance in many areas of computing, but has seen little application to real-time systems. A new family of task models, collectively referred to as SMART, is introduced. SMART models allow for combining SMT and real time by accounting for the variable task execution costs caused by SMT.","PeriodicalId":294784,"journal":{"name":"2018 IEEE Real-Time Systems Symposium (RTSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Work in Progress: Combining Real Time and Multithreading\",\"authors\":\"S. Osborne, James H. Anderson\",\"doi\":\"10.1109/RTSS.2018.00024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The existing sporadic task model is inadequate for real-time systems to take advantage of Simultaneous Multithreading (SMT), which has been shown to improve performance in many areas of computing, but has seen little application to real-time systems. A new family of task models, collectively referred to as SMART, is introduced. SMART models allow for combining SMT and real time by accounting for the variable task execution costs caused by SMT.\",\"PeriodicalId\":294784,\"journal\":{\"name\":\"2018 IEEE Real-Time Systems Symposium (RTSS)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Real-Time Systems Symposium (RTSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTSS.2018.00024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Real-Time Systems Symposium (RTSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSS.2018.00024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Work in Progress: Combining Real Time and Multithreading
The existing sporadic task model is inadequate for real-time systems to take advantage of Simultaneous Multithreading (SMT), which has been shown to improve performance in many areas of computing, but has seen little application to real-time systems. A new family of task models, collectively referred to as SMART, is introduced. SMART models allow for combining SMT and real time by accounting for the variable task execution costs caused by SMT.