近阈值区域变化感知寄存器聚类方法

Xiangnan Song, Shiying Zhang, Ju Zhou, Xuexiang Wang
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引用次数: 1

摘要

近阈值电压(NTV)设计因其最优的能效而受到广泛关注。然而,电路对NTV的过程变化非常敏感,这给时钟网络的设计带来了很大的挑战。本文提出了一种用于NTV时钟网络设计的变化感知寄存器聚类方法。采用时序驱动和负载平衡两种方法来降低NTV的时钟偏差和对时钟偏差过程变化的敏感性。实验结果表明,我们的算法在功耗仅增加3.2%的情况下,将偏度降低了37.7%,偏度变化(σ)降低了16.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Variation Aware Register Clustering Methodology in Near-Threshold Region
Near threshold voltage (NTV) design has gained significant attention due to its optimal energy efficiency. However, circuits are highly sensitive to process variations at NTV, which poses great challenges for clock network design. In this paper, we propose a variation aware register clustering methodology for clock network design at NTV. The timing-driven and load-balanced methods are implemented to reduce clock skew and sensitivity to process variation of clock skew at NTV. Experiment results show that our algorithms reduce the skew by 37.7% and skew variation (σ) by 16.4% with only 3.2% increase on power consumption.
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