Impact of Front-End Wearout Mechanisms on the Performance of a Ring Oscillator-Based Thermal Sensor

Rui Zhang, Kexin Yang, Taizhi Liu, L. Milor
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引用次数: 4

Abstract

This work studies how process/environmental parameters and front-end wearout mechanisms affect the performance of a FinFET-based thermal sensor which can be applied for on-chip temperature monitoring and temperature tracking for healthcare. This work has considered process/environmental parameters, such as gate length, supply voltage (VDD), bank capacitance, and temperature, and front-end wearout mechanisms, including bias temperature instability (BTI), hot carrier injection (HCI), and random telegraph noise (RTN). The impact of wearout mechanisms on each module was checked, and it was found that the ring oscillator is the most sensitive part. It was found that a larger gate length and lower VDD cause lower digital output values (indicating a lower operating frequency) and less power consumption. Wearout causes the sensor’s digital output values to decrease, and it causes more deviation in the digital output because of wearout induced parameter variations. It was found that linear recalibration is not a perfect solution for wearout induced parameter deviations of the digital output.
前端磨损机制对环形振荡器热传感器性能的影响
这项工作研究了工艺/环境参数和前端磨损机制如何影响基于finfet的热传感器的性能,该传感器可用于片上温度监测和医疗保健的温度跟踪。这项工作考虑了工艺/环境参数,如栅极长度、电源电压(VDD)、堆电容和温度,以及前端磨损机制,包括偏置温度不稳定性(BTI)、热载流子注入(HCI)和随机电报噪声(RTN)。对各模块磨损机构的影响进行了校核,发现环形振荡器是最敏感的部分。研究发现,较大的栅极长度和较低的VDD会导致较低的数字输出值(表明较低的工作频率)和较低的功耗。磨损导致传感器的数字输出值下降,并且由于磨损引起的参数变化,导致数字输出偏差增大。结果表明,线性再校准并不能很好地解决数字输出因磨损引起的参数偏差问题。
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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