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考虑偏置温度不稳定性的软差错率分析

王真 江建慧 陈乃金

王真, 江建慧, 陈乃金. 考虑偏置温度不稳定性的软差错率分析[J]. 电子与信息学报, 2017, 39(7): 1640-1645. doi: 10.11999/JEIT161113
引用本文: 王真, 江建慧, 陈乃金. 考虑偏置温度不稳定性的软差错率分析[J]. 电子与信息学报, 2017, 39(7): 1640-1645. doi: 10.11999/JEIT161113
WANG Zhen, JIANG Jianhui, CHEN Naijin. Bias Temperature Instability-aware Soft Error Rate Analysis[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1640-1645. doi: 10.11999/JEIT161113
Citation: WANG Zhen, JIANG Jianhui, CHEN Naijin. Bias Temperature Instability-aware Soft Error Rate Analysis[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1640-1645. doi: 10.11999/JEIT161113

考虑偏置温度不稳定性的软差错率分析

doi: 10.11999/JEIT161113
基金项目: 

国家自然科学基金(61432017, 61404092),上海电力学院人才启动基金(K-2013-017),上海高校青年教师资助计划项目(Z2015-074),上海市科委地方能力建设项目(15110500700)

Bias Temperature Instability-aware Soft Error Rate Analysis

Funds: 

The National Natural Science Foundation of China (61432017, 61404092), The Talented People Introduction Foundation of Shanghai University of Electric Power (K-2013-017), The Excellent University Young Teachers Training Program of Shanghai Municipal Education Commission (Z2015-074), The Project of Shanghai Science and Technology Committee Grant (15110500700)

  • 摘要: 纳米工艺下,老化效应与软差错共同引发的集成电路可靠性问题至关重要。该文分析偏置温度不稳定性(BTI),包括负偏置温度不稳定性(NBTI)和正偏置温度不稳定性(PBTI)对软差错率的影响,提出从关键电荷值和延迟两个因素综合考虑。首先分析BTI效应下两个因素如何变化,推导了延迟受BTI影响的变化模型,介绍关键电荷的变化机理。然后探讨将两个因素结合到软差错率(SER)评估中,推导了融入关键电荷值的SER计算模型,提出将延迟的变化导入到电气屏蔽中的方法。基于ISCAS89基准电路上的实验验证了综合两种因素考虑BTI效应评估SER的有效性和准确性。
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出版历程
  • 收稿日期:  2016-10-20
  • 修回日期:  2017-03-23
  • 刊出日期:  2017-07-19

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