{"title":"电路划分的多级/遗传混合方法","authors":"Charles J. Alpert, L. Hagen, Andrew B. Kahng","doi":"10.1109/APCAS.1996.569275","DOIUrl":null,"url":null,"abstract":"We present a multilevel/genetic circuit partitioning algorithm that utilizes the Metis graph partitioning package, which had been previously applied to finite-element graphs. Our new technique produces better results than Metis alone, and also produces bipartitionings that are competitive with recent methods while using less CPU time.","PeriodicalId":20507,"journal":{"name":"Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1996-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"80","resultStr":"{\"title\":\"A hybrid multilevel/genetic approach for circuit partitioning\",\"authors\":\"Charles J. Alpert, L. Hagen, Andrew B. Kahng\",\"doi\":\"10.1109/APCAS.1996.569275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a multilevel/genetic circuit partitioning algorithm that utilizes the Metis graph partitioning package, which had been previously applied to finite-element graphs. Our new technique produces better results than Metis alone, and also produces bipartitionings that are competitive with recent methods while using less CPU time.\",\"PeriodicalId\":20507,\"journal\":{\"name\":\"Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"80\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCAS.1996.569275\",\"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 APCCAS'96 - Asia Pacific Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCAS.1996.569275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A hybrid multilevel/genetic approach for circuit partitioning
We present a multilevel/genetic circuit partitioning algorithm that utilizes the Metis graph partitioning package, which had been previously applied to finite-element graphs. Our new technique produces better results than Metis alone, and also produces bipartitionings that are competitive with recent methods while using less CPU time.
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