Title
Low-Power Reconfigurable Processor Utilizing Variable Dual
Abstract
The dual-VDD technique has already been employed in reconfigurable processors to improve energy efficiency. In this brief, a variable dual-VDD method is proposed to reduce power consumption further through varying the level of the lower VDD (VDDL) according to the application on a processor. It finds out the optimum VDDL mainly based on the utilization times of all arithmetic logic unit operations by this application. In this estimation, the analysis of technology and architecture is highly required as well. Static timing analysis and power analysis were performed on the RPU, a reconfigurable processor designed in 65-nm CMOS technology. It is estimated that the proposed method can reduce the power of its reconfigurable array by 32% on average for the applications of GPS, MPEG2, H.264, and audio video coding standard (AVS). If VDDL is fixed at 0.6-0.75 V, the power reduction rate of the reconfigurable array will be 15% less on average. The area penalty of this method is less than 3%.
Year
DOI
Venue
2013
10.1109/TCSII.2013.2251940
Circuits and Systems II: Express Briefs, IEEE Transactions
Keywords
Field
DocType
cmos integrated circuits,energy conservation,low-power electronics,microprocessor chips,power consumption,reconfigurable architectures,cmos technology,gps,h.264,mpeg2,rpu,arithmetic logic unit operations,audio video coding standard,energy efficiency,low-power reconfigurable processor,power analysis,power reduction rate,reconfigurable array,size 65 nm,static timing analysis,utilization times,voltage 0.6 v to 0.75 v,low power,power gating,programmable dual $v_{rm dd}$,reconfigurable processor (rp),variable dual $v_{rm dd}$,low power electronics
Power analysis,Energy conservation,Efficient energy use,Arithmetic logic unit,CMOS,Electronic engineering,Power gating,Static timing analysis,Mathematics,Low-power electronics,Embedded system
Journal
Volume
Issue
ISSN
60
4
1549-7747
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Jianfeng Zhu1217.02
leibo liu2816116.95
shouyi yin357999.95
Shaojun Wei4555102.32