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Content Provider | ACM Digital Library |
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Author | Zeng, Xuan Zhou, Dian Su, Yangfeng Li, Xin Yu, Handi Tao, Jun Liao, Changhai |
Abstract | In this paper, 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 Hierarchal 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 estimates the overall failure rate of correlated rare failure events involving more than 20,000 independent random variables. |
Starting Page | 1 |
Ending Page | 8 |
Page Count | 8 |
File Format | |
ISBN | 9781450344661 |
DOI | 10.1145/2966986.2967029 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2016-11-07 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Asymptotic probability approximation Integrated circuit Rare failure rate estimation Process variation |
Content Type | Text |
Resource Type | Article |
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