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Speaker: I-Chyn Wey Advisor: An-Yeu Wu Date : 2007/03/07
Under-Graduate Project : Probabilistic-Based Noise-Tolerant VLSI Digital Circuit Design for TS-SoC Speaker: I-Chyn Wey Advisor: An-Yeu Wu Date : 2007/03/07
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The Silicon Age – A Closer Look
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The VLSI Design Challenge and Limiter in the Next Decade
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Motivation For future SoC: Ultra-Low-Power Noise-Tolerant
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Probabilistic-Based Solution : Markov-Random-Field (MRF) Circuit
MRF has been widely used in pattern recognition & communication. Its operation does not depend on perfect devices or perfect connections. Determine the most possible output state jointly! State Probability maximization to achieve high noise-tolerance
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The Logic Mapping and Construction of MRF Logic Gate:NAND Gate as Example
Using Berkeley’s 70nm model under 0.2V VDD, by adding the Gaussian noise with zero mean and the variance of 3.4 mV.
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(a) CMOS_CLA circuit (b) MRF_CLA circuit
Measured Single-Bit Waveform of The CMOS_CLA & MRF_CLA Under 1Vp_p AWGN Noise: (a) CMOS_CLA circuit (b) MRF_CLA circuit
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Eye Diagram Measurement Under 1Vp_p AWGN Noise Interference:
(a) CMOS_CLA circuit (b) MRF_CLA circuit
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What You Will Learn Basic concept of Probabilistic-based Information Theory-Markov Random Field (MRF) Noise-Tolerant Design Concept in Nano-scale VLSI Era Reinforce What You Learn in VLSI and Logic Design Course Digital IC Design Flow
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Expect Results Paper Survey Circuit Simulation Presentation Skills
Noise-Tolerant Relative Papers MRF Relative Papers Circuit Simulation MRF Carry look-ahead adder Presentation Skills
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References [1] J. Chen, J. Mundy, Y. Bai, S.-M. C. Chan, P. Petrica and I. R. Bahar “A Probabilistic Approach to Nano-computing,” IEEE Non-silicon Computer Workshop, San Diego, USA, June 2003 [2] K. Nepal, R. I. Bahar, J. Mundy, W. R. Patterson, and A. Zaslavsky. “Optimizing Noise-immune Nanoscale Circuits Using Principles of Markov Random Fields,” GLSVLSI’06, April 2006 [3] K. Nepal, R. I. Bahar, J. Mundy, W. R. Patterson, and A. Zaslavsky. “MRF Reinforcer: A Probabilistic Element for Space Redundancy in Nanoscale Circuits,” IEEE J. Micro. Vol. 26, Sept.-Oct. 2006
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