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Statistical model for subthreshold current considering process variations

机译:考虑工艺变化的亚阈值电流统计模型

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In this paper, an analytical technique for modeling the statistical distribution of the sub-threshold leakage variation is presented. The technique focuses on the subthreshold leakage variation induced by the within-die channel length variations. The threshold voltage variations due to the channel length variations are also included in the model. The spatial correlations between the parameters as well as the stacking effects in complex gates are considered in the technique. To assess the accuracy of the technique, we compare the results of the model for basic gates and a 1-bit full adder with those of the Monte-Carlo method. The comparison shows a small error of less than 1% for the mean and 10% for the standard deviation for the technologies considered. The same approach may be applied to other parameter variations including temperature, supply voltage, oxide thickness and threshold voltage.
机译:本文提出了一种用于模拟亚阈值泄漏变化的统计分布的分析技术。该技术着重于由芯片内通道长度变化引起的亚阈值泄漏变化。由于沟道长度变化而引起的阈值电压变化也包括在模型中。该技术考虑了参数之间的空间相关性以及复杂门中的堆叠效应。为了评估该技术的准确性,我们将基本门和1位全加器的模型结果与蒙特卡洛方法的结果进行了比较。比较结果表明,所考虑技术的平均值误差小于1%,标准偏差误差小于10%。可以将相同的方法应用于其他参数变化,包括温度,电源电压,氧化物厚度和阈值电压。

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