Efficient Statistical Analysis for Correlated Rare Failure Events via Asymptotic Probability Approximation
Efficient Statistical Analysis for Correlated Rare Failure Events via Asymptotic Probability Approximation
复制标题
通过渐近概率近似对相关罕见故障事件进行有效统计分析
DOI:
10.1109/tcad.2020.2979804
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发表时间:
2020-12
影响因子:
2.9
通讯作者:
Xin Li
中科院分区:
文献类型:
--
作者:
Fulin Peng;H;i Yu;Jun Tao;Yangfeng Su;Dian Zhou;Xuan Zeng;Xin Li
In this article, a novel asymptotic probability approximation (APA) method is proposed to estimate the overall rare probability of correlated failure events for complex circuits containing a large number of replicated cells (e.g., SRAM bit-cells). The key idea of APA is to approximate the overall circuit failure rate based on a set of carefully defined failure events. An efficient hierarchical subset simulation (H-SUS) method is developed to calculate the aforementioned failure rate and a statistical methodology is further proposed to estimate the confidence interval of APA. Our numerical experiments demonstrate that APA can accurately and reliably estimate the overall failure rate of correlated rare failure events involving more than 20 000 independent random variables.
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DOI:
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