A general probabilistic framework for worst case timing analysis
Proceedings of the 39th annual Design Automation Conference
Design for Variability in DSM Technologies
ISQED '00 Proceedings of the 1st International Symposium on Quality of Electronic Design
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
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This paper describes methodology for constructing compact SPICE models as a function of process parameter variations. The methodology involves global extraction of process-dependant SPICE model parameters from silicon calibrated TCAD simulations. The model is validated by comparing device characteristics from the extracted SPICE parameters with those from TCAD simulations. The analysis demonstrates an excellent goodness of fit over the full range of process parameter variations. The process-dependant SPICE models allow direct access to process parameter variations in circuit design. The extracted models are employed in rudimentary digital circuits to investigate the delay variation in response to process deviations. The proposed approach significantly improves design-for-manufacturing (DFM) by allowing for accurate design sensitivity analysis and parametric yield assessment, as a function of statistically independent and measurable process variations.