{"title":"Context streams a theoretical basis for a generic form of MIMD pipelining","authors":"T. Lees","doi":"10.1109/SPDP.1990.143639","DOIUrl":null,"url":null,"abstract":"Context flow (CF) is a canonical form of MIMD pipelining in which process contexts rather than either instructions or data are manipulated. The paper presents a formal definition of context flow. It defines the state of a CF computation as the stream of contexts which pass a particular point in a context flow graph during a given period of time. It shows that for a class of context flow graphs corresponding to dynamic multifunctional pipelines, the number of contexts which may exist at any point in a graph is bounded, and independent of the computation being performed. It presents methods for determining the numerical value of the upper bound or queue length for a variety of configurations of a acyclic graph.<<ETX>>","PeriodicalId":391745,"journal":{"name":"Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing 1990","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing 1990","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPDP.1990.143639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Context flow (CF) is a canonical form of MIMD pipelining in which process contexts rather than either instructions or data are manipulated. The paper presents a formal definition of context flow. It defines the state of a CF computation as the stream of contexts which pass a particular point in a context flow graph during a given period of time. It shows that for a class of context flow graphs corresponding to dynamic multifunctional pipelines, the number of contexts which may exist at any point in a graph is bounded, and independent of the computation being performed. It presents methods for determining the numerical value of the upper bound or queue length for a variety of configurations of a acyclic graph.<>