Performance-Aware Thermal Management via Task Scheduling

被引：0
作者：
Zhou X. [1 ]
Yang J. [1 ]
Chrobak M. [2 ]
Zhang Y. [3 ]
机构：
[1] Department of Electrical & Computer Engineering, University of Pittsburgh, Pittsburgh
[2] Department of Computer Science & Engineering, University of California
[3] Department of Computer Science & Engineering, University of Pittsburgh, Pittsburgh
来源：
Transactions on Architecture and Code Optimization | 2010年 / 7卷 / 01期
关键词：
Algorithms; Management; Performance; Task Scheduling; Thermal Management;
D O I：
10.1145/1736065.1736070
中图分类号：
学科分类号：
摘要：
High on-chip temperature impairs the processor's reliability and reduces its lifetime. Hardwarelevel dynamic thermal management (DTM) techniques can effectively constrain the chip temperature, but degrades the performance. We propose an OS-level technique that performs thermalaware job scheduling to reduce DTMs. The algorithm is based on the observation that hot and cool jobs executed in a different order can make a difference in resulting temperature. Real-system implementation in Linux shows that our scheduler can remove 10.5% to 73.6% of the hardware DTMs in a medium thermal environment. The CPU throughput is improved by up to 7.6% (4.1%, on average) in a severe thermal environment. © 2010, ACM. All rights reserved.
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页码：1 / 31
页数：30
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