Ripple: An effective routability-driven placer by iterative cell movement

Xu He, Tao Huang, Linfu Xiao, Haitong Tian, Guxin Cui, Evangeline F. Y. Young
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引用次数: 70

Abstract

In this paper, we describe a routability-driven placer called Ripple. Two major techniques called cell inflation and net-based movement are used in global placement followed by a rough legalization step to reduce congestion. Cell inflation is performed in the horizontal and the vertical directions alternatively. We propose a new method called net-based movement, in which a target position is calculated for each cell by considering the movement of a net as a whole instead of working on each cell individually. In detailed placement, we use a combination of two kinds of strategy: the traditional HPWL-driven approach and our new congestion-driven approach. Experimental results show that Ripple is very effective in improving routability. Comparing with our pervious placer, which is the winner in the ISPD 2011 Contest, Ripple can further improve the overflow by 38% while reduce the runtime is reduced by 54%.
涟漪:一个有效的可达性驱动的砂矿迭代细胞运动
在本文中,我们描述了一个名为Ripple的可达性驱动的placer。两种主要的技术称为细胞膨胀和基于网络的移动在全局布局中使用,然后是一个粗略的合法化步骤来减少拥塞。细胞膨胀可在水平方向和垂直方向交替进行。我们提出了一种新的方法,称为基于网络的移动,其中通过考虑网络的整体运动来计算每个细胞的目标位置,而不是单独计算每个细胞。在详细的布局中,我们结合使用两种策略:传统的hpwl驱动方法和新的拥堵驱动方法。实验结果表明,Ripple在提高可达性方面是非常有效的。与我们在2011年ISPD竞赛中获胜的上一个placer相比,Ripple可以进一步提高溢出38%,同时减少运行时间54%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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