{"title":"一种新的性能驱动宏单元格放置算法","authors":"Too-Seng Tia, C. Liu","doi":"10.1109/EURDAC.1993.410618","DOIUrl":null,"url":null,"abstract":"The authors present a new performance-driven macro-cell placement algorithm. They introduce the concept of a window which is an estimate of the initial placement of a module. There are three phases in the algorithm. In phase one, an initial window for each module is constructed. In phase two, a novel force-directed approach is used to reduce the size of each window in an iterative process so as to determine an initial placement of the modules. In phase three, the same force-directed concept is used to refine the placement. Timing and physical constraints are used in all phases to guide the placement process. The effectiveness of the algorithm is demonstrated by comparing the experimental results with those produced by TimberWolfMC and the GVL algorithm.<<ETX>>","PeriodicalId":339176,"journal":{"name":"Proceedings of EURO-DAC 93 and EURO-VHDL 93- European Design Automation Conference","volume":"353 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A new performance driven macro-cell placement algorithm\",\"authors\":\"Too-Seng Tia, C. Liu\",\"doi\":\"10.1109/EURDAC.1993.410618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present a new performance-driven macro-cell placement algorithm. They introduce the concept of a window which is an estimate of the initial placement of a module. There are three phases in the algorithm. In phase one, an initial window for each module is constructed. In phase two, a novel force-directed approach is used to reduce the size of each window in an iterative process so as to determine an initial placement of the modules. In phase three, the same force-directed concept is used to refine the placement. Timing and physical constraints are used in all phases to guide the placement process. The effectiveness of the algorithm is demonstrated by comparing the experimental results with those produced by TimberWolfMC and the GVL algorithm.<<ETX>>\",\"PeriodicalId\":339176,\"journal\":{\"name\":\"Proceedings of EURO-DAC 93 and EURO-VHDL 93- European Design Automation Conference\",\"volume\":\"353 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of EURO-DAC 93 and EURO-VHDL 93- European Design Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURDAC.1993.410618\",\"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 of EURO-DAC 93 and EURO-VHDL 93- European Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURDAC.1993.410618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new performance driven macro-cell placement algorithm
The authors present a new performance-driven macro-cell placement algorithm. They introduce the concept of a window which is an estimate of the initial placement of a module. There are three phases in the algorithm. In phase one, an initial window for each module is constructed. In phase two, a novel force-directed approach is used to reduce the size of each window in an iterative process so as to determine an initial placement of the modules. In phase three, the same force-directed concept is used to refine the placement. Timing and physical constraints are used in all phases to guide the placement process. The effectiveness of the algorithm is demonstrated by comparing the experimental results with those produced by TimberWolfMC and the GVL algorithm.<>