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Partition-based global placement considering wire-density uniformity for CMP variations

机译:基于分区的全局布局,考虑CMP线密度的均匀性

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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%.
机译:本文提出了一种多级超图分割方法,该方法可以通过基于分区的全局布局算法来平衡对单元区域和导线重量的约束,该算法可使导线密度均匀性最大化,从而控制化学机械抛光(CMP)的变化。多级分区在优化阶段交替使用两个FM变体,以提供更均匀的导线分布。全局布局基于自上而下的递归二等分框架。在分割中使用分区算法来影响导线密度的均匀性。测试表明,在不平衡比例为10%的情况下,该分区产生的解决方案的边缘权重更加平衡,与hMetis相比提高了837%,与MLPart相比提高了1039.1%,与FM相比提高了762.9%该算法可将ROOSTER改进,使导线分布更均匀,平均提高3.1%,而导线长度仅增加3.0%。

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