考虑CMP变化的线密度均匀性的基于分区的全局布局

IF 5.2 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Tsinghua Science and Technology Pub Date : 2011-02-01 DOI:10.1016/S1007-0214(11)70007-4
Dong Changdao (董昌道), Zhou Qiang (周强), Cai Yici (蔡懿慈), Liu Dawei (刘大为)
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引用次数: 2

摘要

本文提出了一种多级超图划分方法,该方法不仅平衡了对单元面积的约束,还平衡了对导线重量的约束,并采用了基于划分的全局布局算法,最大限度地提高了导线密度的均匀性,以控制化学机械抛光(CMP)的变化。多级划分在细化阶段交替使用两种FM变体,以提供更均匀的布线分布。全局布局基于自上而下的递归平分框架。在二等分中使用了分割算法来影响布线密度的均匀性。测试表明,在10%的约束下,分区产生的解决方案具有更平衡的边权重,在不平衡比例方面比hMetis好837%,比MLPart好1039.1%,比FM好762.9%,并且这种全局放置算法将ROOSTER改进为更均匀的布线,平均提高3.1%,布线长度仅增加3.0%。
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Partition-Based Global Placement Considering Wire-Density Uniformity for CMP Variations*

This paper presents a multilevel hypergraph partitioning method that balances constraints on not only the cell area but also the wire weight with a partition-based global placement algorithm that maximizes the wire density uniformity to control chemical-mechanical polishing (CMP) variations. The multilevel partitioning alternately uses two FM variants in the refinement stage to give a more uniform wire distribution. The global placement is based on a top-down recursive bisection framework. The partitioning algorithm is used in the bisectioning to impact the wire density uniformity. Tests show that, with a 10% constraint, the partitioning produces solutions with more balanced edge weights that are 837% better than from hMetis, 1039.1% better than MLPart, and 762.9% better than FM in terms of imbalance proportion and that this global placement algorithm improves ROOSTER with a more uniform wire distribution by 3.1% on average with an increased wire length of only 3.0%.

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CiteScore
12.10
自引率
0.00%
发文量
2340
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