Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31117
Title: Dynamic and leakage energy minimization with soft real-time loop scheduling and voltage assignment
Authors: Qiu, M
Yang, LT
Shao, Z 
Sha, EH
Keywords: Assignment
Dynamic voltage scaling (DVS)
Leakage power
Loop scheduling
Real-time
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on very large scale integration (VLSI) systems, 2010, v. 18, no. 3, 4814494, p. 501-504 How to cite?
Journal: IEEE transactions on very large scale integration (VLSI) systems 
Abstract: With the shrinking of technology feature sizes, the share of leakage in total power consumption of digital systems continues to grow. Traditional dynamic voltage scaling (DVS) fails to accurately address the impact of scaling on system power consumption as the leakage power increases exponentially. The combination of DVS and adaptive body biasing (ABB) is an effective technique to jointly optimize dynamic and leakage energy dissipation. In this paper, we propose an optimal soft real-time loop scheduling and voltage assignment algorithm, loop scheduling and voltage assignment to minimize energy, to minimize both dynamic and leakage energy via DVS and ABB. Voltage transition overhead has been considered in our approach. We conduct simulations on a set of digital signal processor benchmarks based on the power model of 70 nm technology. The simulation results show that our approach achieves significant energy saving compared to that of the integer linear programming approach.
URI: http://hdl.handle.net/10397/31117
ISSN: 1063-8210
EISSN: 1557-9999
DOI: 10.1109/TVLSI.2008.2010941
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

49
Last Week
1
Last month
0
Citations as of Jun 24, 2018

WEB OF SCIENCETM
Citations

41
Last Week
0
Last month
Citations as of Jun 23, 2018

Page view(s)

56
Last Week
0
Last month
Citations as of Jun 24, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.