{"title":"Resource constrained and speculative scheduling of an algorithm class with run-time dependent conditionals","authors":"Frank Hannig, J. Teich","doi":"10.1109/ASAP.2004.10029","DOIUrl":null,"url":null,"abstract":"We present a significant extension of the quantified equation based algorithm class of piecewise regular algorithms. The main contributions of the following paper are: the class of piecewise regular algorithms are extended by allowing run-time dependent conditionals; a mixed integer linear program is given to derive optimal schedules of the novel class we call dynamic piecewise regular algorithms; and in order to achieve highest performance, we present a speculative scheduling approach. The results are applied to an illustrative example.","PeriodicalId":120245,"journal":{"name":"Proceedings. 15th IEEE International Conference on Application-Specific Systems, Architectures and Processors, 2004.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 15th IEEE International Conference on Application-Specific Systems, Architectures and Processors, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2004.10029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
We present a significant extension of the quantified equation based algorithm class of piecewise regular algorithms. The main contributions of the following paper are: the class of piecewise regular algorithms are extended by allowing run-time dependent conditionals; a mixed integer linear program is given to derive optimal schedules of the novel class we call dynamic piecewise regular algorithms; and in order to achieve highest performance, we present a speculative scheduling approach. The results are applied to an illustrative example.