学生会议:多核与混合记忆体环境下的省电整合任务调度

IF 0.5 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

International Journal of Embedded and Real-Time Communication Systems (IJERTCS) Pub Date : 2020-08-01 DOI:10.1109/RTCSA50079.2020.9203632

Yewon Jo, Suhyeon Yoo, H. Bahn

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引用次数: 0

摘要

提出了一种新的任务调度算法，对实时任务和交互式任务混合任务集进行调度。我们的算法旨在以合理的交互任务响应时间和实时任务的截止时间保证最小化系统功耗。实验结果表明，该算法平均降低了23%的功耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Student Session:Power-Saving Integrated Task Scheduling in Multicore and Hybrid Memory Environment

A new task scheduling algorithm that schedules mixed task set consisting of real-time and interactive tasks is presented. Our algorithm aims at minimizing the power consumption of the system with the reasonable response time of interactive tasks as well as the deadline guarantees of real-time tasks. Experimental results show that the proposed algorithm improves the power consumption by 23% on average.

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来源期刊

International Journal of Embedded and Real-Time Communication Systems (IJERTCS) Multiple-

CiteScore

1.70

自引率

14.30%

发文量