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Nonvolatile latches are increasingly popular with the advent of IoT design. We study the yield energy tradeoff of the backup mechanism of an STT-MTJ based nonvolatile latch. For the yield analysis, we rely on Hicks and Wheeling methodology for multi-cone radial sampling for the purpose of rare fail estimation. Yield is shown to be delimited by the Parallel-to-AntiParallel magnetic angle transitions...
In this paper, we propose a fast logistic regression based importance sampling methodology with ordered feature selection to avoid overfitting and enable regularization. We rely on the importance region search simulations to build a regularized logistic regression model that is capable of accurately predicting pass fail criteria for purposes of yield analysis stage. We also propose a cross-validation-based...
Statistical approaches for yield estimation and robust design are vital in the current variation-dominated design era. This article presents a mixture importance sampling methodology to enable yield-driven design and extends its application beyond memories to peripheral circuits and logic blocks.
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