Title
Data Encoding Techniques for Reducing Energy Consumption in Network-on-Chip
Abstract
As technology shrinks, the power dissipated by the links of a network-on-chip (NoC) starts to compete with the power dissipated by the other elements of the communication subsystem, namely, the routers and the network interfaces (NIs). In this paper, we present a set of data encoding schemes aimed at reducing the power dissipated by the links of an NoC. The proposed schemes are general and transparent with respect to the underlying NoC fabric (i.e., their application does not require any modification of the routers and link architecture). Experiments carried out on both synthetic and real traffic scenarios show the effectiveness of the proposed schemes, which allow to save up to 51% of power dissipation and 14% of energy consumption without any significant performance degradation and with less than 15% area overhead in the NI.
Year
DOI
Venue
2014
10.1109/TVLSI.2013.2251020
VLSI) Systems, IEEE Transactions  
Keywords
Field
DocType
encoding,network interfaces,network-on-chip,telecommunication network routing,NIs,NoC,communication subsystem,data encoding techniques,energy consumption reduction,link architecture,network interfaces,network-on-chip,power dissipation,router modification,Coupling switching activity,data encoding,interconnection on chip,low power,network-on-chip (NoC),power analysis
Data encoding,Power analysis,Computer science,Dissipation,Network on a chip,Real-time computing,Electronic engineering,Energy consumption,Network interface,Encoding (memory)
Journal
Volume
Issue
ISSN
22
3
1063-8210
Citations 
PageRank 
References 
13
0.57
26
Authors
4
Name
Order
Citations
PageRank
Nima Jafarzadeh1130.57
Maurizio Palesi2111978.82
Ahmad Khademzadeh330832.82
Ali Afzali-kusha436554.65