{"title":"在制品:音频图近似计算的自适应调度","authors":"P. Donat-Bouillud, C. Kirsch","doi":"10.1109/RTSS.2017.00045","DOIUrl":null,"url":null,"abstract":"Interactive music systems are highly dynamic systems that combine audio processing and control in real-time. They often have to work on soft real-time platforms, where no stringent real-time guarantees can be upheld. We present here an overhead-aware online degradation algorithm that finds a tradeoff between quality and lateness for the processing nodes of a dynamic audio graph.","PeriodicalId":407932,"journal":{"name":"2017 IEEE Real-Time Systems Symposium (RTSS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Work-in-Progress: Adaptive Scheduling with Approximate Computing for Audio Graphs\",\"authors\":\"P. Donat-Bouillud, C. Kirsch\",\"doi\":\"10.1109/RTSS.2017.00045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Interactive music systems are highly dynamic systems that combine audio processing and control in real-time. They often have to work on soft real-time platforms, where no stringent real-time guarantees can be upheld. We present here an overhead-aware online degradation algorithm that finds a tradeoff between quality and lateness for the processing nodes of a dynamic audio graph.\",\"PeriodicalId\":407932,\"journal\":{\"name\":\"2017 IEEE Real-Time Systems Symposium (RTSS)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Real-Time Systems Symposium (RTSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTSS.2017.00045\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Real-Time Systems Symposium (RTSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSS.2017.00045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Work-in-Progress: Adaptive Scheduling with Approximate Computing for Audio Graphs
Interactive music systems are highly dynamic systems that combine audio processing and control in real-time. They often have to work on soft real-time platforms, where no stringent real-time guarantees can be upheld. We present here an overhead-aware online degradation algorithm that finds a tradeoff between quality and lateness for the processing nodes of a dynamic audio graph.