Timing driven placement using physical net constraints

Bill Halpin, C. Y. Chen, Naresh Sehgal
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引用次数: 63

Abstract

This paper presents a new timing driven placement algorithm that explicitly meets physical net lengths constraints. It is the first recursive bi-section placement (RBP) algorithm that meets precise half perimeter bounding box constraints on critical nets. At each level of the recursive bi-section, we use linear programming to ensure that all net constraints are met. Our method can easily be incorporated with existing RBP methods. We use the net constraint based placer to improve timing results by setting and meeting constraints on timing critical nets. We report significantly better timing results on each of the MCNC benchmarks and achieve an average optimization exploitation of 69% versus previously reported 53%.
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使用物理网络约束的定时驱动放置
本文提出了一种新的定时驱动的布局算法,该算法明确地满足物理网长约束。这是第一个满足关键网精确半周边界盒约束的递归双截面布局(RBP)算法。在递归双截面的每一层,我们使用线性规划来确保满足所有的网络约束。我们的方法可以很容易地与现有的RBP方法结合。我们使用基于网络约束的砂矿,通过设置和满足定时关键网络的约束来改善定时结果。我们报告了在每个MCNC基准测试上明显更好的计时结果,并且实现了69%的平均优化利用率,而不是之前报告的53%。
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