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Content Provider | IEEE Xplore Digital Library |
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Author | Shouyi Yin Peng Ouyang Leibo Liu Shaojun Wei |
Copyright Year | 2014 |
Description | Author affiliation: Inst. of Microelectron., Tsinghua Univ., Beijing, China (Shouyi Yin; Peng Ouyang; Leibo Liu; Shaojun Wei) |
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. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 608637 |
Page Count | 6 |
File Format | |
ISBN | 9783981537024 |
DOI | 10.7873/DATE.2014.350 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-03-24 |
Publisher Place | Germany |
Access Restriction | Subscribed |
Rights Holder | European Design Automation Association (EDAA) |
Subject Keyword | Batteries Runtime Energy consumption Scheduling Cost function Arrays |
Content Type | Text |
Resource Type | Article |
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