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Toward Holistic Modeling, Margining and Tolerance of IC Variability

Toward Holistic Modeling, Margining and Tolerance of IC Variability

Toward Holistic Modeling, Margining and Tolerance of IC Variability. Andrew B. Kahng UCSD CSE and ECE Departments abk@ucsd.edu http://vlsicad.ucsd.edu. IC Variability. In manufacturing process FEOL BEOL During operation Voltage Temperature Across lifetime Aging Breakdown.

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970 views • 86 slides
Non-Linear Statistical Static Timing Analysis for Non-Gaussian Variation Sources

Non-Linear Statistical Static Timing Analysis for Non-Gaussian Variation Sources

Non-Linear Statistical Static Timing Analysis for Non-Gaussian Variation Sources. Lerong Cheng 1 , Jinjun Xiong 2 , and Prof. Lei He 1 1 EE Department, UCLA *2 IBM Research Center Address comments to lhe@ee.ucla.edu * Dr. Xiong's work was finished while he was with UCLA. Outline.

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385 views • 26 slides
Non-Linear Statistical Static Timing Analysis for Non-Gaussian Variation Sources

Non-Linear Statistical Static Timing Analysis for Non-Gaussian Variation Sources

Non-Linear Statistical Static Timing Analysis for Non-Gaussian Variation Sources. Lerong Cheng, Injun Xiong, Lei He DAC 2007. Outline. Before beginning Introduction Modeling Atomic Operation Experimental Result Conclusion. Before beginning. Problem: Process variations

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407 views • 26 slides
Predictive Modeling of Lithography-Induced Linewidth Variation

Predictive Modeling of Lithography-Induced Linewidth Variation

Predictive Modeling of Lithography-Induced Linewidth Variation. Swamy V. Muddu University of California San Diego Photomask Japan 2008 (Presented by Kwangok Jeong). Sensitive to grow due to defocus. Sensitive to resist effects. Sensitive to exposure variation. Sensitive to shrink

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419 views • 24 slides

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