{"title":"混合算法调度:一个ILP公式","authors":"A. Mignotte, O. Peyran","doi":"10.1109/EDTC.1997.582434","DOIUrl":null,"url":null,"abstract":"Summary form only given. We present a way to automatically select, within an architectural synthesis tool, the best operand and operator number systems, in order to find the best speed/area tradeoff. This implies the use of different number systems (redundant and non-redundant) for the same design: this is what we call mixed arithmetics. We present an integer linear programming (ILP) formulation to solve a scheduling problem.","PeriodicalId":297301,"journal":{"name":"Proceedings European Design and Test Conference. ED & TC 97","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Scheduling using mixed arithmetic: an ILP formulation\",\"authors\":\"A. Mignotte, O. Peyran\",\"doi\":\"10.1109/EDTC.1997.582434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. We present a way to automatically select, within an architectural synthesis tool, the best operand and operator number systems, in order to find the best speed/area tradeoff. This implies the use of different number systems (redundant and non-redundant) for the same design: this is what we call mixed arithmetics. We present an integer linear programming (ILP) formulation to solve a scheduling problem.\",\"PeriodicalId\":297301,\"journal\":{\"name\":\"Proceedings European Design and Test Conference. ED & TC 97\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings European Design and Test Conference. ED & TC 97\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDTC.1997.582434\",\"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 European Design and Test Conference. ED & TC 97","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDTC.1997.582434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scheduling using mixed arithmetic: an ILP formulation
Summary form only given. We present a way to automatically select, within an architectural synthesis tool, the best operand and operator number systems, in order to find the best speed/area tradeoff. This implies the use of different number systems (redundant and non-redundant) for the same design: this is what we call mixed arithmetics. We present an integer linear programming (ILP) formulation to solve a scheduling problem.