A statistical model based ASIC skew selection method

D.T. Wang, W. Mcnall
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引用次数: 11

Abstract

Cross wafer speed variations in the 0.13 /spl mu/m process and beyond are significant enough to be considered in ASIC skew selection. Traditional Idsat and Vt measurements on a few sites of the wafer to gauge wafer speed simply does not work. Multiple skew lot runs to get proper skew wafers is financially prohibitive and part skew uncertainty makes it impossible to qualify product with a reasonable number of skew parts. Typical design practice for high-speed ASICs is to add a PVT monitor on the die. For area critical applications, scribe PVT monitors can be used. The PVT circuitry can be as simple as an inverter ring oscillator chain. We present a methodology based on on-chip or on-scribe ring oscillator data to bin the ASIC skew parts. Statistical modeling, PVT monitor sensitivity and actual experiment data are discussed. Based on the proposed methodology, proper skew parts can be selected for product testing so that products are validated cross all process corners.
一种基于统计模型的ASIC偏度选择方法
在0.13 /spl mu/m及以上的工艺中,晶圆间的速度变化非常显著,足以在ASIC偏差选择中加以考虑。传统的Idsat和Vt测量在晶圆片的几个位置来测量晶圆片的速度根本不起作用。为了获得合适的偏度晶圆,多次运行偏度批次在财务上是令人望而却步的,而零件偏度的不确定性使得不可能通过合理数量的偏度零件来合格产品。高速asic的典型设计做法是在芯片上添加PVT监视器。对于关键区域应用,可以使用划线PVT监视器。PVT电路可以像逆变器环振荡器链一样简单。我们提出了一种基于片上或刻环振荡器数据的方法来处理ASIC偏斜部件。讨论了统计建模、PVT监测灵敏度和实际实验数据。根据提出的方法,可以选择合适的斜度零件进行产品测试,从而使产品在所有工艺角上都得到验证。
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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