Combining Task Scheduling in Power Adaptive Dynamic Reconfigurable System

被引：0

作者：

Hui Dong ^{[1
]}

Le-Tian Huang ^{[1
]}

Jun-Shi Wang ^{[1
]}

Terrence Mak ^{[2
,3
]}

机构：

[1] School of Communication and Information Engineering, University of Electronic Science and Technology of China

[2] Department of Computer Science and Engineering,The Chinese University of Hong Kong

[3] Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences

来源：

Journal of Electronic Science and Technology | 2012年 / 04期

基金：

中央高校基本科研业务费专项资金资助; 中国国家自然科学基金;

关键词：

Nios; Ⅱ; power adaptive; reconfiguration; single instruction multiple data (SIMD); task scheduling model;

D O I：

暂无

中图分类号：

TM46 [变流器];

学科分类号：

080801 ;

摘要：

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%.

引用

页码：296 / 301

页数：6

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