D. Ziegenbein, K. Richter, R. Ernst, J. Teich, L. Thiele
{"title":"Representation of process mode correlation for scheduling","authors":"D. Ziegenbein, K. Richter, R. Ernst, J. Teich, L. Thiele","doi":"10.1145/288548.288560","DOIUrl":null,"url":null,"abstract":"The specification of embedded systems very often contains a mixture of different models of computation. In particular the data flow and control flow associated to the transformative and reactive domains, respectively are tightly coupled. The paper considers classes of applications that feature communicating processes whose functions depend on a finite set of computation modes. The change between these modes is synchronized by data communication. An approach is presented to model the correlation of process modes and to fully utilize this information for scheduling. A modeling example shows the optimization potential of the new approach.","PeriodicalId":224802,"journal":{"name":"1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287)","volume":"1 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/288548.288560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 32
Abstract
The specification of embedded systems very often contains a mixture of different models of computation. In particular the data flow and control flow associated to the transformative and reactive domains, respectively are tightly coupled. The paper considers classes of applications that feature communicating processes whose functions depend on a finite set of computation modes. The change between these modes is synchronized by data communication. An approach is presented to model the correlation of process modes and to fully utilize this information for scheduling. A modeling example shows the optimization potential of the new approach.