A Fast Optimal Double Row Legalization Algorithm

S. Hougardy, Meike Neuwohner, Ulrike Schorr
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Abstract

In Placement Legalization, it is often assumed that (almost) all standard cells possess the same height and can therefore be aligned in cell rows, which can then be treated independently. However, this is no longer true for recent technologies, where a substantial number of cells of double- or even arbitrary multiple-row height is to be expected. Due to interdependencies between the cell placements within several rows, the legalization task becomes considerably harder. In this paper, we show how to optimize quadratic cell movement for pairs of adjacent rows comprising cells of single- as well as double-row height with a fixed left-to-right ordering in time $\mathcalO (n\cdotłog(n))$, whereby n denotes the number of cells involved. Opposed to prior works, we thereby do not artificially bound the maximum cell movement and can guarantee to find an optimum solution. Experimental results show an average percental decrease of over $26%$ in the total quadratic movement when compared to a legalization approach that fixes cells of more than single-row height after Global Placement.
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一种快速最优双行合法化算法
在位置合法化中,通常假设(几乎)所有标准单元格具有相同的高度,因此可以在单元格行中对齐,然后可以独立处理。然而,对于最近的技术来说,这不再是正确的,在这些技术中,期望有大量的双行甚至任意多行高度的单元格。由于几行内单元格位置之间的相互依赖关系,合法化任务变得相当困难。在本文中,我们展示了如何优化由单行和双行高度的单元组成的相邻行对的二次单元移动,在时间$\mathcalO (n\cdotłog(n))$中具有固定的从左到右排序,其中n表示所涉及的单元数。与以往的工作不同,我们没有人为地限制细胞的最大运动,可以保证找到最优解。实验结果显示,与在全局放置后修复超过单行高度的单元格的合法化方法相比,总二次移动的平均百分比下降超过26%。
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