Probability, random processes, and estimation theory for engineers
Probability, random processes, and estimation theory for engineers
Noise in deep submicron digital design
Proceedings of the 1996 IEEE/ACM international conference on Computer-aided design
Toward achieving energy efficiency in presence of deep submicron noise
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Low-power AEC-based MIMO signal processing for gigabit ethernet 1000Base-T transceivers
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Soft digital signal processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - System Level Design
An Introduction to Spread-Spectrum Communications
An Introduction to Spread-Spectrum Communications
CMOS Digital Integrated Circuits Analysis & Design
CMOS Digital Integrated Circuits Analysis & Design
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
An information-theoretic analysis of quantum-dot cellular automata for defect tolerance
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Analysis of defect tolerance in molecular crossbar electronics
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Hi-index | 0.00 |
In this paper, we present an algorithm for computing the bounds on energy-efficiency of digital very large scale integration (VLSI) systems in the presence of deep submicron noise. The proposed algorithm is based on a soft-decision channel model of noisy VLSI systems and employs information-theoretic arguments. Bounds on energy-efficiency are computed for multimodule systems, static gates, dynamic circuits and noise-tolerant dynamic circuits in 0.25-µm CMOS technology. As the complexity of the proposed algorithm grows linearly with the size of the system, it is suitable for computing the bounds on energy-efficiency for complex VLSI systems. A key result presented is that noise-tolerant dynamic circuits offer the best trade off between energy-efficiency and noise-immunity when compared to static and domino circuits. Furthermore, employing a 16-bit noise-tolerant Manchester adder in a CDMA receiver, we demonstrate a 31.2%-51.4% energy reduction over conventional systems when operating in the presence of noise. In addition, we compute the lower bounds on energy dissipation for this CDMA receiver and show that these lower bounds are 2.8 × below the actual energy consumed, and that noise-tolerance reduces the gap between the lower bounds and actual energy dissipation by a factor of 1.9 ×.