Volume 10 Issue 4
Apr.  2017
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Hui Dong, Le-Tian Huang, Jun-Shi Wang, Terrence Mak. Combining Task Scheduling in Power Adaptive Dynamic Reconfigurable System[J]. Journal of Electronic Science and Technology, 2012, 10(4): 296-301. doi: 10.3969/j.issn.1674-862X.2012.04.003
Citation: Hui Dong, Le-Tian Huang, Jun-Shi Wang, Terrence Mak. Combining Task Scheduling in Power Adaptive Dynamic Reconfigurable System[J]. Journal of Electronic Science and Technology, 2012, 10(4): 296-301. doi: 10.3969/j.issn.1674-862X.2012.04.003

Combining Task Scheduling in Power Adaptive Dynamic Reconfigurable System

doi: 10.3969/j.issn.1674-862X.2012.04.003
Funds:

This work was supported by the National Natural Science Foundation of China under Grant No. 61176025 and No. 61006027, the Fundamental Research Funds for the Central Universities under Grant No. ZYGX2012J003, National Laboratory of Analogue Integrated Circuit Grants under Grants No. 9140C0901101002 and No. 9140C0901101003, and New Century Excellent Talents Program under Grant No. NCET-10-0297.

  • Received Date: 2012-08-07
  • Rev Recd Date: 2012-10-17
  • Publish Date: 2012-12-25

通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Combining Task Scheduling in Power Adaptive Dynamic Reconfigurable System

doi: 10.3969/j.issn.1674-862X.2012.04.003
Funds:

This work was supported by the National Natural Science Foundation of China under Grant No. 61176025 and No. 61006027, the Fundamental Research Funds for the Central Universities under Grant No. ZYGX2012J003, National Laboratory of Analogue Integrated Circuit Grants under Grants No. 9140C0901101002 and No. 9140C0901101003, and New Century Excellent Talents Program under Grant No. NCET-10-0297.

Abstract: Supplying the electronic equipment by exploiting ambient energy sources is a hot spot. In order to achieve the match between power supply and demands under the variance of environments at real time, a reconfigurable technique is taken. In this paper, a dynamic power consumption model by using a lookup table as a unit is proposed. Then, we establish a system-level task scheduling model according to the task type. Based on single instruction multiple data (SIMD) architecture which contains a processing system and a control system with a Nios II processor, a practical dynamic reconfigurable system is built. The approach is evaluated on a hardware platform. The test results show that the system can automatically adjust the power consumption in case of external energy input changing. The utilization of the system dynamic power of their portion is from 80.05% to 91.75% during the first task assignment. During the entire processing cycle, the total energy efficiency is 97.67%.

Hui Dong, Le-Tian Huang, Jun-Shi Wang, Terrence Mak. Combining Task Scheduling in Power Adaptive Dynamic Reconfigurable System[J]. Journal of Electronic Science and Technology, 2012, 10(4): 296-301. doi: 10.3969/j.issn.1674-862X.2012.04.003
Citation: Hui Dong, Le-Tian Huang, Jun-Shi Wang, Terrence Mak. Combining Task Scheduling in Power Adaptive Dynamic Reconfigurable System[J]. Journal of Electronic Science and Technology, 2012, 10(4): 296-301. doi: 10.3969/j.issn.1674-862X.2012.04.003

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