Paper Info
Title
A class of code compression schemes for reducing power consumption in embedded microprocessor systems
Abstract
Compression of executable code in embedded microprocessor systems, used in the past mainly to reduce the memory footprint of embedded software, is gaining interest for the potential reduction in memory bus traffic and power consumption. We propose three new schemes for code compression, based on the concepts of static (using the static representation of the executable) and dynamic (using program execution traces) entropy and compare them with a state-of-the-art compression scheme, IBM's CodePack. The proposed schemes are competitive with CodePack for static footprint compression and achieve superior results for bus traffic and energy reduction. Another interesting outcome of our work is that static compression is not directly related to bus traffic reduction, yet there is a trade off between static compression and dynamic compression, i.e., traffic reduction.
Year
DOI
Venue
2004
10.1109/TC.2004.1268405
Computers, IEEE Transactions
Keywords
Field
DocType
data compression,embedded systems,instruction sets,microcomputers,performance evaluation,power consumption,CodePack,IBM,code compression,dynamic entropy,embedded microprocessor system,embedded software,low-power design,memory bus traffic,microcomputer application,microprocessor application,power consumption,state-of-the-art compression scheme,static footprint compression,traffic reduction
Embedded software,Computer science,Microprocessor,Parallel computing,Memory bus,Computer hardware,Memory footprint,Data compression,Energy consumption,Dynamic range compression,Embedded system,Executable
Journal
Volume
Issue
ISSN
53
4
0018-9340
Citations 
PageRank 
References 
21
0.99
21
Authors
3
Name
Order
Citations
PageRank
Luca Benini1131161188.49
Francesco Menichelli225515.93
Mauro Olivieri338536.09