NDLI: Throughput optimal task allocation under thermal constraints for multi-core processors

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Throughput optimal task allocation under thermal constraints for multi-core processors

Content Provider	ACM Digital Library
Author	Vrudhula, Sarma Hanumaiah, Vinay Chatha, Karam S. Rao, Ravishankar
Abstract	It is known that temperature gradients and thermal hotspots affect the reliability of microprocessors. Temperature is also an important constraint when maximizing the performance of processors. Although DVFS and DFS can be used to extract higher performance from temperature and power constrained single core processors, the full potential of multi-core performance cannot be exploited without the use of thread migration or task-to-core allocation schemes. In this paper, we formulate the problem of throughput-optimal task allocation on thermally constrained multi-core processors, and present a novel solution that includes optimal speed throttling. We show that the algorithms are implementable in real time and can be implemented in operating system's dynamic scheduling policy. The method presented here can result in a significant improvement in throughput over existing methods (5X over a naive scheme).
Starting Page	776
Ending Page	781
Page Count	6
File Format	PDF
ISBN	9781605584973
DOI	10.1145/1629911.1630112
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-07-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Optimal throughput Multi-core processors Task allocation Thread migration Thermal management
Content Type	Text
Resource Type	Article

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