DocumentCode
129496
Title
Extending lifetime of battery-powered coarse-grained reconfigurable computing platforms
Author
Shouyi Yin ; Peng Ouyang ; Leibo Liu ; Shaojun Wei
Author_Institution
Inst. of Microelectron., Tsinghua Univ., Beijing, China
fYear
2014
fDate
24-28 March 2014
Firstpage
1
Lastpage
6
Abstract
The coarse-grained reconfigurable architecture (CGRA) is a promising platform for mobile computing. In this paper, how to prolong the lifetime of battery-powered reconfigurable computing platform is addressed. Considering the nonlinear characteristics of battery, a multi-objective optimization model is built for extending the lifetime of battery. Based on this model, a joint task-mapping and battery-scheduling method is proposed. The experimental results show that the proposed method achieves 26.22% improvement of battery runtime on average comparing to the state-of-the-art methods.
Keywords
mobile computing; optimisation; reconfigurable architectures; scheduling; CGRA; battery-powered coarse-grained reconfigurable computing platforms; battery-scheduling method; joint task-mapping; mobile computing; multiobjective optimization model; nonlinear battery characteristics; Arrays; Batteries; Cost function; Energy consumption; Runtime; Scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Design, Automation and Test in Europe Conference and Exhibition (DATE), 2014
Conference_Location
Dresden
Type
conf
DOI
10.7873/DATE.2014.350
Filename
6800551
Link To Document