{"title":"一种性能驱动的宏单元格放置算法","authors":"T. Gao, P. M. Vaidya, C. Liu","doi":"10.1109/DAC.1992.227845","DOIUrl":null,"url":null,"abstract":"The authors present a new performance driven macro-cell placement algorithm. Placement of modules is guided by a set of upper- and lower-bounds on the net wire lengths. A convex programming algorithm is used to compute a set of upper-bounds on the net wire lengths which will ensure that timing requirements between input and output signals are satisfied. A set of lower-bounds is also computed to control signal skews at intermediate points of the circuit. Artificial nets are introduced between all pairs of modules. Lower-bounds on the lengths of the artificial nets are computed to avoid module overlaps in the placement. A modified min-cut placement algorithm is then used to generate a placement that satisfies the upper- and lower-bounds. An iterative procedure is used to modify the set of upper- and lower-bounds to improve the quality of the placement result. Experimental results on eight test examples are included.<<ETX>>","PeriodicalId":162648,"journal":{"name":"[1992] Proceedings 29th ACM/IEEE Design Automation Conference","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":"{\"title\":\"A performance driven macro-cell placement algorithm\",\"authors\":\"T. Gao, P. M. Vaidya, C. Liu\",\"doi\":\"10.1109/DAC.1992.227845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present a new performance driven macro-cell placement algorithm. Placement of modules is guided by a set of upper- and lower-bounds on the net wire lengths. A convex programming algorithm is used to compute a set of upper-bounds on the net wire lengths which will ensure that timing requirements between input and output signals are satisfied. A set of lower-bounds is also computed to control signal skews at intermediate points of the circuit. Artificial nets are introduced between all pairs of modules. Lower-bounds on the lengths of the artificial nets are computed to avoid module overlaps in the placement. A modified min-cut placement algorithm is then used to generate a placement that satisfies the upper- and lower-bounds. An iterative procedure is used to modify the set of upper- and lower-bounds to improve the quality of the placement result. Experimental results on eight test examples are included.<<ETX>>\",\"PeriodicalId\":162648,\"journal\":{\"name\":\"[1992] Proceedings 29th ACM/IEEE Design Automation Conference\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"50\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings 29th ACM/IEEE Design Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DAC.1992.227845\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings 29th ACM/IEEE Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DAC.1992.227845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A performance driven macro-cell placement algorithm
The authors present a new performance driven macro-cell placement algorithm. Placement of modules is guided by a set of upper- and lower-bounds on the net wire lengths. A convex programming algorithm is used to compute a set of upper-bounds on the net wire lengths which will ensure that timing requirements between input and output signals are satisfied. A set of lower-bounds is also computed to control signal skews at intermediate points of the circuit. Artificial nets are introduced between all pairs of modules. Lower-bounds on the lengths of the artificial nets are computed to avoid module overlaps in the placement. A modified min-cut placement algorithm is then used to generate a placement that satisfies the upper- and lower-bounds. An iterative procedure is used to modify the set of upper- and lower-bounds to improve the quality of the placement result. Experimental results on eight test examples are included.<>