网长估计的统计模型

L. Suen
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引用次数: 7

摘要

预布线净长度的估计对物理设计非常重要,因为估计的长度可以用作放置过程的优值,作为放置结果的评估,以及在预测时序分析中的电容计算。传统的有界矩形法、最小生成树法和最小斯坦纳树法估计效果差或处理时间长。此外,他们没有考虑各网络之间的干扰和技术的影响。为了克服这些缺陷,开发了一种估算净长度的统计模型。该模型提供了一个无偏估计,平均相对均方根误差为7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Statistical Model for Net Length Estimation
The prerouting estimation of net length is very important to the physical design since the estimated length can be employed as a figure-of-merit of the placement process, as an evaluation of the placement result, and in the calculation of capacitance in the predictive timing analysis. The traditional methods, bounded rectangle method, minimal spanning tree method and minimal Steiner tree method, result in either poor estimation or time consuming processing. Moreover, they do not consider the interference between each net and the technology influence. A statistical model for net length estimation has been developed to overcome these deficiencies. This model provides an unbiased estimate with 7 percent relative root-mean-squares error on an average.
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