Title
A coding framework for low-power address and data busses
Abstract
This paper presents a source-coding framework for the design of coding schemes to reduce transition activity. These schemes are suited for high-capacitance buses where the extra power dissipation due to the encoder and decoder circuitry is offset by the power savings at the bus. In this framework, a data source (characterized in a probabilistic manner) is first passed through a decorrelating function f/sub 1/. Next, a variant of entropy coding function f/sub 2/ is employed, which reduces the transition activity. The framework is then employed to derive novel encoding schemes whereby practical forms for f/sub 1/ and f/sub 2/ are proposed. Simulation results with an encoding scheme for data buses indicate an average reduction in transition activity of 36%. This translates into a reduction in total power dissipation for bus capacitances greater than 14 pF/b in 1.2 /spl mu/m CMOS technology. For a typical value for bus capacitance of 50 pF/b, there is a 36% reduction in power dissipation and eight times more power savings compared to existing schemes. Simulation results with an encoding scheme for instruction address buses indicate an average reduction in transition activity by a factor of 1.5 times over known coding schemes.
Year
DOI
Venue
1999
10.1109/92.766748
IEEE Transactions on Very Large Scale Integration Systems
Keywords
Field
DocType
CMOS digital integrated circuits,VLSI,capacitance,circuit CAD,high level synthesis,integrated circuit design,low-power electronics,source coding,CMOS VLSI design,decoder circuitry,decorrelating function,encoder circuitry,entropy coding function,high-capacitance bus,low-power address buses,low-power data buses,power dissipation,source-coding framework,transition activity reduction
Entropy encoding,Computer science,CMOS,Electronic engineering,Real-time computing,Integrated circuit design,Encoder,Decoding methods,Bus encoding,Offset (computer science),Low-power electronics
Journal
Volume
Issue
ISSN
7
2
1063-8210
Citations 
PageRank 
References 
114
7.09
12
Authors
3
Search Limit
100114
Name
Order
Citations
PageRank
Sumant Ramprasad120218.20
Naresh R. Shanbhag22027205.25
Ibrahim N. Hajj357279.52