{"title":"基于路径调度的综合:算法和练习","authors":"Raul Compasano, R. Bergamaschi","doi":"10.1109/DAC.1990.114898","DOIUrl":null,"url":null,"abstract":"Path-based scheduling algorithms consider all possible sequences of operations (called paths) in a control-flow graph. Unlike most scheduling techniques used in high-level synthesis they stress optimization across conditional branches. Several path-based algorithms are presented. An exact algorithm finds the minimum number of control steps required for each possible path being executed. Heuristic solutions are also implemented. Extensive application of these algorithms to the benchmarks of the high-level synthesis workshop shows the practical feasibility of such methods.<<ETX>>","PeriodicalId":118552,"journal":{"name":"27th ACM/IEEE Design Automation Conference","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"56","resultStr":"{\"title\":\"Synthesis using path-based scheduling: algorithms and exercises\",\"authors\":\"Raul Compasano, R. Bergamaschi\",\"doi\":\"10.1109/DAC.1990.114898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Path-based scheduling algorithms consider all possible sequences of operations (called paths) in a control-flow graph. Unlike most scheduling techniques used in high-level synthesis they stress optimization across conditional branches. Several path-based algorithms are presented. An exact algorithm finds the minimum number of control steps required for each possible path being executed. Heuristic solutions are also implemented. Extensive application of these algorithms to the benchmarks of the high-level synthesis workshop shows the practical feasibility of such methods.<<ETX>>\",\"PeriodicalId\":118552,\"journal\":{\"name\":\"27th ACM/IEEE Design Automation Conference\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"56\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"27th ACM/IEEE Design Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DAC.1990.114898\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"27th ACM/IEEE Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DAC.1990.114898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthesis using path-based scheduling: algorithms and exercises
Path-based scheduling algorithms consider all possible sequences of operations (called paths) in a control-flow graph. Unlike most scheduling techniques used in high-level synthesis they stress optimization across conditional branches. Several path-based algorithms are presented. An exact algorithm finds the minimum number of control steps required for each possible path being executed. Heuristic solutions are also implemented. Extensive application of these algorithms to the benchmarks of the high-level synthesis workshop shows the practical feasibility of such methods.<>