2007
DOI: 10.1109/tcad.2007.895613
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Mapping Statistical Process Variations Toward Circuit Performance Variability: An Analytical Modeling Approach

Abstract: A physical yet compact gate delay model is developed integrating short-channel effects and the Alpha-power law based timing model. This analytical approach accurately predicts both nominal delay and delay variability over a wide range of bias conditions, including sub-threshold. Excellent model scalability enables efficient mapping between process variations and delay variability at the circuit level. Based on this model, relative importance of physical effects on delay variability has been identified. While e… Show more

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Cited by 70 publications
(40 citation statements)
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“…This will allow to catch the dependence of the threshold voltage with gate length. This dependence is satisfied with the model presented in [11] and shown in Equation 3.4. In that equation V th 0 is the threshold voltage for long channel transistors and α dibl is the DIBL coefficient.…”
Section: Modeling Wire Dimension Variationsupporting
confidence: 78%
“…This will allow to catch the dependence of the threshold voltage with gate length. This dependence is satisfied with the model presented in [11] and shown in Equation 3.4. In that equation V th 0 is the threshold voltage for long channel transistors and α dibl is the DIBL coefficient.…”
Section: Modeling Wire Dimension Variationsupporting
confidence: 78%
“…This equation does not model the NTC region accurately. There are alpha-power law variants [4], [6], [21], [31] that attempt to extend the model to the subthreshold region. Usually, they come with an increased number of fitting parameters that have no direct physical interpretation.…”
Section: A Gate Delaymentioning
confidence: 99%
“…In a few of our experiments, we study the impact of fluctuating variations. In experiments where the variations are fixed, random variation is 12%, and intradie variation correlation is 60% of the total variation [25]. About 20% of the total variation is uncorrelated intradie variation and the remaining 80% is allotted to the interdie variation.…”
Section: A Evaluation Setupmentioning
confidence: 99%