Supply voltage analysis for MRF circuits design based on information theory

Reliability is an essential issue in circuits design. The methodology of Markova random field (MRF) provides a new way for ultra-low supply voltage design to obtain high noise-immune performance. However, MRF circuits have a lack of the analysis for the supply voltage. In this paper, we use information theory to analyze the low bound of the supply voltage. Then, we prove the MRF circuit has lower supply voltage compared to the traditional circuit under the same output correct probability. The contribution of this paper is providing a mathematical proof for MRF circuit from the information theory viewpoint in low supply voltage design.

[1]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[2]  Joseph L. Mundy,et al.  Techniques for Designing Noise-Tolerant Multi-Level Combinational Circuits , 2007, 2007 Design, Automation & Test in Europe Conference & Exhibition.

[3]  Pinar Ayhan,et al.  Probabilistic CMOS (PCMOS) in the Nanoelectronics Regime , 2007 .

[4]  Jie Chen,et al.  A Probabilistic-Based Design Methodology for Nanoscale Computation , 2003, ICCAD 2003.

[5]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[6]  An-Yeu Wu,et al.  Design and Implementation of Cost-Effective Probabilistic-Based Noise-Tolerant VLSI Circuits , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

[7]  Naresh R. Shanbhag,et al.  Energy-efficiency in presence of deep submicron noise , 1998, 1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287).

[8]  Joseph L. Mundy,et al.  Designing logic circuits for probabilistic computation in the presence of noise , 2005, Proceedings. 42nd Design Automation Conference, 2005..

[9]  An-Yeu Wu,et al.  A 0.18=μm Probabilistic-Based Noise-Tolerate Circuit Design and Implementation with 28.7dB Noise-Immunity Improvement , 2006, 2006 IEEE Asian Solid-State Circuits Conference.