{"title":"实时分布式嵌入式系统的性能评估","authors":"Ti-Yen Yen, W. Wolf","doi":"10.1109/ICCD.1995.528792","DOIUrl":null,"url":null,"abstract":"Many embedded computing systems are distributed systems: communicating processes executing on several CPUs/ASICs connected by communication links. This paper describes a new, efficient analysis algorithm to derive tight bounds on the execution time required for an application task executing on a distributed system. Tight bounds are essential to cosynthesis algorithms. Our bounding algorithms are valid for a general problem model: the system can contain several tasks with different periods; each task is partitioned into a set of processes related by data dependencies; the periods and the computation times of processes are bounded but not necessarily constant. Experimental results show that our algorithm can find tight bounds in small amounts of CPU time.","PeriodicalId":281907,"journal":{"name":"Proceedings of ICCD '95 International Conference on Computer Design. VLSI in Computers and Processors","volume":"61 13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"139","resultStr":"{\"title\":\"Performance estimation for real-time distributed embedded systems\",\"authors\":\"Ti-Yen Yen, W. Wolf\",\"doi\":\"10.1109/ICCD.1995.528792\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many embedded computing systems are distributed systems: communicating processes executing on several CPUs/ASICs connected by communication links. This paper describes a new, efficient analysis algorithm to derive tight bounds on the execution time required for an application task executing on a distributed system. Tight bounds are essential to cosynthesis algorithms. Our bounding algorithms are valid for a general problem model: the system can contain several tasks with different periods; each task is partitioned into a set of processes related by data dependencies; the periods and the computation times of processes are bounded but not necessarily constant. Experimental results show that our algorithm can find tight bounds in small amounts of CPU time.\",\"PeriodicalId\":281907,\"journal\":{\"name\":\"Proceedings of ICCD '95 International Conference on Computer Design. VLSI in Computers and Processors\",\"volume\":\"61 13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"139\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of ICCD '95 International Conference on Computer Design. VLSI in Computers and Processors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCD.1995.528792\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ICCD '95 International Conference on Computer Design. VLSI in Computers and Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.1995.528792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance estimation for real-time distributed embedded systems
Many embedded computing systems are distributed systems: communicating processes executing on several CPUs/ASICs connected by communication links. This paper describes a new, efficient analysis algorithm to derive tight bounds on the execution time required for an application task executing on a distributed system. Tight bounds are essential to cosynthesis algorithms. Our bounding algorithms are valid for a general problem model: the system can contain several tasks with different periods; each task is partitioned into a set of processes related by data dependencies; the periods and the computation times of processes are bounded but not necessarily constant. Experimental results show that our algorithm can find tight bounds in small amounts of CPU time.