{"title":"A structure based clustering algorithm with applications to VLSI physical design","authors":"Jianhua Li, L. Behjat, B. Schiffner","doi":"10.1109/IWSOC.2005.29","DOIUrl":null,"url":null,"abstract":"Clustering plays an important role in VLSI physical design. In this paper, we present a new structure and connectivity based clustering algorithm. The proposed clustering algorithm emphasizes capturing natural circuit clusters, i.e., highly interconnected cell groups. We apply the proposed clustering algorithm to 2-way and k-way partitionings on ISPD98 benchmark suite as stated in C. J. Alpert (1998), and 2-way partitioning to part of ISPD2005 benchmark suite based in G.-J. Nam et al. (2005). The experimental results show that the proposed clustering algorithm can maintain the partitioning solution qualities while reducing the sizes of large scale circuits.","PeriodicalId":328550,"journal":{"name":"Fifth International Workshop on System-on-Chip for Real-Time Applications (IWSOC'05)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Workshop on System-on-Chip for Real-Time Applications (IWSOC'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSOC.2005.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Clustering plays an important role in VLSI physical design. In this paper, we present a new structure and connectivity based clustering algorithm. The proposed clustering algorithm emphasizes capturing natural circuit clusters, i.e., highly interconnected cell groups. We apply the proposed clustering algorithm to 2-way and k-way partitionings on ISPD98 benchmark suite as stated in C. J. Alpert (1998), and 2-way partitioning to part of ISPD2005 benchmark suite based in G.-J. Nam et al. (2005). The experimental results show that the proposed clustering algorithm can maintain the partitioning solution qualities while reducing the sizes of large scale circuits.
聚类在超大规模集成电路物理设计中起着重要的作用。本文提出了一种新的基于结构和连通性的聚类算法。提出的聚类算法强调捕获自然回路簇,即高度互联的细胞群。我们将所提出的聚类算法应用于C. J. Alpert(1998)中对ISPD98基准套件的2-way和k-way分区,以及基于g . j的部分ISPD2005基准套件的2-way分区。Nam等人(2005)。实验结果表明,本文提出的聚类算法在减小大规模电路尺寸的同时保持了划分解的质量。