Thermal-aware power-efficient deadline based task allocation in multi-core processor

doi:10.1016/j.jocs.2016.11.012

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	Thermal-aware power-efficient deadline based task allocation in multi-core processor
	Tyagi, Sumarga Kumar Sah 1; Jain, Deepak Kumar 2; Fernandes, Steven Lawrence 4; Muhuri, Pranab K.3
发表期刊	JOURNAL OF COMPUTATIONAL SCIENCE
ISSN	1877-7503
	2017-03-01
卷号	19 页码:112-120
通讯作者	Tyagi, Sumarga Kumar Sah(sumarga@ict.ac.cn)
摘要	This paper address the power-efficient task allocation problem in a heterogeneous multi-core processor for thermally challenged tasks with real-time constraints. A thermally challenged task is one which, if executed on a core at the maximum possible speed, resulting the core temperature exceeds a given safe temperature limit. Our problem formulation is based on the well-praised thermal models HotSpot-4, leakage power and delay models with DVFS (dynamic voltage and frequency scaling). The solution to this problem is not so straight forward due to the fact that there is a nonlinear-circular dependency between the overall power dissipation and the temperature. It becomes further complicated with the consideration of a crucial parameter, task's deadline. We have solved this problem with a novel idea of deadline based task allocation scheme (DBTAS) that takes care of the permissible thermal dissipation, power consumption and speed of the processor. We have included suitable numerical test cases to demonstrate the efficacy of the proposed scheme for task allocation. (C) 2016 Elsevier B.V. All rights reserved.
关键词	Multicore systems Thermal management Task allocation Dynamic voltage and frequency scaling Real-time constraints
DOI	10.1016/j.jocs.2016.11.012
关键词[WOS]	MULTIPROCESSOR SOCS ; TEMPERATURE ; MANAGEMENT ; PERFORMANCE ; SYSTEMS ; LEVEL ; DVFS
收录类别	SCI
语种	英语
资助项目	Government of India in the form of SAARC Silver Jubilee Scholarship ; Government of India in the form of SAARC Silver Jubilee Scholarship
项目资助者	Government of India in the form of SAARC Silver Jubilee Scholarship
WOS研究方向	Computer Science
WOS类目	Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS记录号	WOS:000399862400010
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28044
专题	离退休人员
通讯作者	Tyagi, Sumarga Kumar Sah
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 3.South Asian Univ, Dept Comp Sci, New Delhi, India 4.Sahayadri Coll Engn & Management, Dept Elect & Commun Engn, Mangalore, Karnataka, India
推荐引用方式 GB/T 7714	Tyagi, Sumarga Kumar Sah,Jain, Deepak Kumar,Fernandes, Steven Lawrence,et al. Thermal-aware power-efficient deadline based task allocation in multi-core processor[J]. JOURNAL OF COMPUTATIONAL SCIENCE,2017,19:112-120.
APA	Tyagi, Sumarga Kumar Sah,Jain, Deepak Kumar,Fernandes, Steven Lawrence,&Muhuri, Pranab K..(2017).Thermal-aware power-efficient deadline based task allocation in multi-core processor.JOURNAL OF COMPUTATIONAL SCIENCE,19,112-120.
MLA	Tyagi, Sumarga Kumar Sah,et al."Thermal-aware power-efficient deadline based task allocation in multi-core processor".JOURNAL OF COMPUTATIONAL SCIENCE 19(2017):112-120.