Toward achieving energy efficiency in presence of deep submicron noise
- 1 August 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Vol. 8 (4) , 379-391
- https://doi.org/10.1109/92.863617
Abstract
Presented in this paper are: 1) information-theoretic lower bounds on energy consumption of noisy digital gates and 2) the concept of noise tolerance via coding for achieving energy efficiency in the presence of noise. In particular, lower bounds on a) circuit speed f/sub c/ and supply voltage V/sub dd/; b) transition activity t in presence of noise; c) dynamic energy dissipation; and d) total (dynamic and static) energy dissipation are derived. A surprising result is that in a scenario where dynamic component of power dissipation dominates, the supply voltage for minimum energy operation (V/sub dd, opt/) is greater than the minimum supply voltage (V/sub dd, min/)for reliable operation. We then propose noise tolerance via coding to approach the lower bounds on energy dissipation. We show that the lower bounds on energy for an off-chip I/O signaling example are a factor of 24/spl times/ below present day systems. A very simple Hamming code can reduce the energy consumption by a factor of 3/spl times/, while Reed-Muller (RM) codes give a 4/spl times/ reduction in energy dissipation.Keywords
This publication has 29 references indexed in Scilit:
- A 64-Mbit, 640-MByte/s bidirectional data strobed, double-data-rate SDRAM with a 40-mW DLL for a 256-MByte memory systemIEEE Journal of Solid-State Circuits, 1998
- A 0.5-μm CMOS 4.0-Gbit/s serial link transceiver with data recovery using oversamplingIEEE Journal of Solid-State Circuits, 1998
- A mathematical basis for power-reduction in digital VLSI systemsIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1997
- Information theoretic measures for power analysis [logic design]IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1996
- Power dissipation analysis and optimization of deep submicron CMOS digital circuitsIEEE Journal of Solid-State Circuits, 1996
- Minimizing power consumption in digital CMOS circuitsProceedings of the IEEE, 1995
- Trading speed for low power by choice of supply and threshold voltagesIEEE Journal of Solid-State Circuits, 1993
- On the maximum tolerable noise for reliable computation by formulasIEEE Transactions on Information Theory, 1991
- Dissipation and noise immunity in computation and communicationNature, 1988
- Reliable computation by formulas in the presence of noiseIEEE Transactions on Information Theory, 1988