Dynamic Temperature-Aware Task Scheduling Based onSliding Window Model for MPSoCs

摘要：

As the power density of modern chips increases drastically, chips are prone to overheating. Thermal hot spots increase cooling costs, negatively impact reliability and degrade performance. A valid task scheduling can reduce chips average temperature and temperature variations. We propose a dynamic temperature-aware task scheduling policy based on sliding window model. This scheduling policy calculates the probability of task allocation for each core according to current and historical temperatures of the core, and then the one with the maximal probability is chosen to execute the ready task. If multiple cores have the same probability, the scheduler gives priority to the core that has the minimal average temperature of neighbor units. The experimental results show that this scheduling policy can reduce hot spots, decrease spatial and temporal temperature variations of all units, and thus achieve a relatively lower average temperature and more balanced temperature distribution.

关键词： multiprocessor systems-on-chlps(MPSoCs) sliding window temperature-aware multicore task scheduling Hot Spot

作者: Luguang Wang Zhiping Jia Xin Li Yang Li Meikang Qiu

作者单位: School of Computer Science and Technology Shandong University Jinan, P.R. China Dept. of Electrical and Computer Engineering University of Kentucky Lexington, UK 40506, USA

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 98-103

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）