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Robust estimation of parametric yield under limited descriptions of uncertainty

Published: 05 November 2006 Publication History

Abstract

Reliable prediction of parametric yield for a specific design is difficult; a significant reason is the reliance of the yield estimation methods on the hard-to-measure distributional properties of the process data. Existing methods are inadequate when dealing with real-life distributions of process and environmental parameters, and limited availability of parameter data during early design. This paper proposes a robust technique for full-chip parametric yield estimation; the proposed work is based on the rigorous notions of non-parametric robust statistics which permits estimation based on the knowledge of the range and the limited number of moments (e.g. mean and variance) of the parameter distributions. Fully or partially specified process and environmental parameters can be described by robust representations, and used to estimate probabilistic bounds for leakage dissipation. The proposed approach is applied to estimating the chip-level parametric yield. The experimental results show that the robust estimation algorithm improves the total leakage estimate by 5-13% at the 99th percentile across distinct frequency bins, compared to using only the intervals of partially-specified parameters.

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Cited By

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  • (2012)LOcal Uncertainty Processing (LOUP) method for multidisciplinary robust design optimizationStructural and Multidisciplinary Optimization10.1007/s00158-012-0798-046:5(711-726)Online publication date: 1-Nov-2012
  • (2008)Chebyshev affine arithmetic based parametric yield prediction under limited descriptions of uncertaintyProceedings of the 2008 Asia and South Pacific Design Automation Conference10.5555/1356802.1356931(531-536)Online publication date: 21-Jan-2008
  • (2007)Timing budgeting under arbitrary process variationsProceedings of the 2007 IEEE/ACM international conference on Computer-aided design10.5555/1326073.1326144(344-349)Online publication date: 5-Nov-2007
  • Show More Cited By

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          cover image ACM Conferences
          ICCAD '06: Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
          November 2006
          147 pages
          ISBN:1595933891
          DOI:10.1145/1233501
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Published: 05 November 2006

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          View all
          • (2012)LOcal Uncertainty Processing (LOUP) method for multidisciplinary robust design optimizationStructural and Multidisciplinary Optimization10.1007/s00158-012-0798-046:5(711-726)Online publication date: 1-Nov-2012
          • (2008)Chebyshev affine arithmetic based parametric yield prediction under limited descriptions of uncertaintyProceedings of the 2008 Asia and South Pacific Design Automation Conference10.5555/1356802.1356931(531-536)Online publication date: 21-Jan-2008
          • (2007)Timing budgeting under arbitrary process variationsProceedings of the 2007 IEEE/ACM international conference on Computer-aided design10.5555/1326073.1326144(344-349)Online publication date: 5-Nov-2007
          • (2007)A framework for accounting for process model uncertainty in statistical static timing analysisProceedings of the 44th annual Design Automation Conference10.1145/1278480.1278686(829-834)Online publication date: 4-Jun-2007

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