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Content Provider | IEEE Xplore Digital Library |
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Author | Jen-Wei Hsieh Yuan-Hao Chang Wei-Li Lee |
Copyright Year | 2011 |
Description | Author affiliation: Department of Electronic Engineering, National Taipei University of Technology, Taipei 106, Taiwan (Yuan-Hao Chang) || Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan (Jen-Wei Hsieh; Wei-Li Lee) |
Abstract | The FPGAs (Field-Programmable Gate Array) are popular in hardware designs and even hardware/software co-designs. Due to the advance of manufacturing technologies, leakage power has become an important issue in the design of modern FPGAs. In particular, the partially dynamical reconfigurable FP-GAs allow the latency between FPGA reconfiguration and task execution for the performance consideration. However, this latency introduces unnecessary leakage power called leakage waste. In this work, we propose a leakage-aware scheduling algorithm to minimize the leakage waste without increasing the schedule length of tasks. In this algorithm, a priority dispatcher with a split-aware placement is proposed to reduce the scheduling complexity with considering the hardware constraints of FPGAs. A series of experiments based on synthetic designs demonstrates that the proposed algorithm could effectively reduce leakage waste with limited sacrifices on the task schedulability. |
Starting Page | 661 |
Ending Page | 667 |
File Size | 288890 |
Page Count | 7 |
File Format | |
ISBN | 9781424475155 |
ISSN | 21536961 |
e-ISBN | 9781424475162 |
DOI | 10.1109/ASPDAC.2011.5722270 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-01-25 |
Publisher Place | Japan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Field programmable gate arrays Schedules Hardware Scheduling algorithm Programmable logic arrays Logic gates Job shop scheduling |
Content Type | Text |
Resource Type | Article |
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