Ringing Error Prevention Techniques in Lucy-Richardson Deconvolution Process for SRAM Space-Time Margin Variation Effect Screening Designs

Ringing Error Prevention Techniques in Lucy-Richardson Deconvolution Process for SRAM Space-Time Margin Variation Effect Screening Designs
复制标题

SRAM 时空裕度变化效应筛选设计的 Lucy-Richardson 反卷积过程中的振铃错误预防技术

DOI:
10.1109/latw.2015.7102402
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发表时间:
2015
期刊:
IEEE The Latin-American Test Symposium (LATS)
影响因子:
--
通讯作者:
Worawit Somha
Worawit Somha
中科院分区:
--
文献类型:
--
作者:
Hiroyuki Yamauchi;Worawit Somha

文献摘要

相似文献

提出了一种Lucy-Richardson-deconvolution(L-R-Dcnv)过程中的振铃误差避免技术,用于逆向分析随机电报噪声(RTN)对SRAM整体裕度变化的影响。所提出的振铃防止技术成功地规避振铃误差,通过减少L-R-Dcnv迭代周期中的反馈增益和反卷积目标分布之间的相位差。这避免了任何不必要的正反馈,从而不会导致错误放大。通过将其应用于真实的L-R-Dcnv分析,以分析RTN对整体SRAM裕度变化的影响,同时利用L-R-Dcnv算法的更快收敛优势,证明了这种有效性。结果表明,与传统的L-R-Dcenv方法相比,该方法使RTN反褶积的相对误差减小了102~ 103倍。这使得能够将基于RTN与随机掺杂波动(RDF)的卷积的累积密度函数(cdf)的故障比特计数预测的准确性提高超过2个数量级,同时将其收敛速度加速到传统的收敛速度的7~30倍。
This paper proposes a ringing error avoidance technique in Lucy-Richardson-deconvolution (L-R-Dcnv) process, which is used for inversely analyzing the Random Telegraph Noise (RTN) effects on overall SRAM margin variations. The proposed ringing prevention technique successfully circumvents the ringing error by reducing the phase difference between the feedback-gain and deconvolution target distributions in L-R-Dcnv iteration cycles. This avoids any unwanted positive feedbacks, resulting in no error amplification. This effectiveness has been demonstrated with applying it to a real L-R-Dcnv analysis for the effects of the RTN on the overall SRAM margin variations, while exploiting a quicker convergence benefit of L-R-Dcnv algorithm. It has been shown that the proposed technique reduces its relative errors of the RTN deconvolution by 102~103times compared with the conventional L-R-Dcnv. This enables to increase an accuracy of the fail-bit-count prediction based on the cumulative density function (cdf) of the convolution of the RTN with the Random Dopant Fluctuation (RDF) by over 2-orders of magnitude while accelerating its convergence speed by 7~30 times of the conventional one.