Principles of multivariate analysis: a user's perspective
Principles of multivariate analysis: a user's perspective
A general probabilistic framework for worst case timing analysis
Proceedings of the 39th annual Design Automation Conference
Computation and Refinement of Statistical Bounds on Circuit Delay
Proceedings of the 40th annual Design Automation Conference
Statistical timing for parametric yield prediction of digital integrated circuits
Proceedings of the 40th annual Design Automation Conference
First-order incremental block-based statistical timing analysis
Proceedings of the 41st annual Design Automation Conference
Statistical Timing Analysis Considering Spatial Correlations using a Single Pert-Like Traversal
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Statistical Timing Analysis for Intra-Die Process Variations with Spatial Correlations
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Proceedings of the 42nd annual Design Automation Conference
Correlation-aware statistical timing analysis with non-gaussian delay distributions
Proceedings of the 42nd annual Design Automation Conference
Correlation-preserved non-gaussian statistical timing analysis with quadratic timing model
Proceedings of the 42nd annual Design Automation Conference
Statistical gate sizing for timing yield optimization
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
On confidence in characterization and application of variation models
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Considering the effect of process variations during the ISA extension design flow
Microprocessors & Microsystems
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With aggressive scaling down of feature sizes in VLSI fabrication, process variation has become a critical issue in designs. We show that two necessary conditions for the "Max" operation are actually not satisfied in the moment matching based statistical timing analysis approaches. We propose two correlationaware block-based statistical timing analysis approaches that keep these necessary conditions, and show that our approaches always achieve the lower bound and the upper bound on the timing yield. Our approach combining with moment-matching based statistical static timing analysis (SSTA) approaches can efficiently estimate the maximal possible errors of moment-matching-based SSTA approaches.