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Variation-aware aging analysis with non-Gaussian parameters | IEEE Conference Publication | IEEE Xplore
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Variation-aware aging analysis with non-Gaussian parameters


Abstract:

Technology scaling brings about increased process variations and aging effects. In this paper, we analyze the effects of process variations on aging effects and the corre...Show More

Abstract:

Technology scaling brings about increased process variations and aging effects. In this paper, we analyze the effects of process variations on aging effects and the correlations between process variations and aging effects are considered using Monte-Carlo based transistor-level simulations including independent component analysis (ICA) for non-Gaussian parameters. The aging analysis using ICA well reflect the long-tail characteristics by aging effects compared to the principal component analysis (PCA).
Date of Conference: 17-18 November 2011
Date Added to IEEE Xplore: 26 January 2012
ISBN Information:
Conference Location: Jeju, Korea (South)

References

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