Thermal-aware power-efficient deadline based task allocation in multi-core processor
文献类型：期刊论文
| 作者 | Tyagi, Sumarga Kumar Sah2; Jain, Deepak Kumar4; Fernandes, Steven Lawrence3; Muhuri, Pranab K.1 |
| 刊名 | JOURNAL OF COMPUTATIONAL SCIENCE
 |
| 出版日期 | 2017-03-01 |
| 卷号 | 19页码:112-120 |
| 关键词 | Multicore systems Thermal management Task allocation Dynamic voltage and frequency scaling Real-time constraints |
| ISSN号 | 1877-7503 |
| DOI | 10.1016/j.jocs.2016.11.012 |
| 通讯作者 | Tyagi, Sumarga Kumar Sah(sumarga@ict.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | MULTIPROCESSOR SOCS ; TEMPERATURE ; MANAGEMENT ; PERFORMANCE ; SYSTEMS ; LEVEL ; DVFS |
| 资助项目 | Government of India in the form of SAARC Silver Jubilee Scholarship |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000399862400010 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | Government of India in the form of SAARC Silver Jubilee Scholarship |
| 源URL | [http://ir.ia.ac.cn/handle/173211/28043]  |
| 专题 | 离退休人员 |
| 通讯作者 | Tyagi, Sumarga Kumar Sah |
| 作者单位 | 1.South Asian Univ, Dept Comp Sci, New Delhi, India 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Sahayadri Coll Engn & Management, Dept Elect & Commun Engn, Mangalore, Karnataka, India 4.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China |
| 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. |
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