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Learning-Based Power Management for Multicore Processors via Idle Period Manipulation

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2 Author(s)
Rong Ye ; Shenzhen Inst. of Adv. Technol., Chinese Univ. of Hong Kong, Shenzhen, China ; Qiang Xu

Learning-based dynamic power management (DPM) techniques, being able to adapt to varying system conditions and workloads, have attracted a lot of research attention recently. To the best of our knowledge, however, none of the existing learning-based DPM solutions are dedicated to power reduction in multicore processors, although they can be utilized by treating each processor core as a standalone entity and conducting DPM for them separately. In this paper, by including task allocation into our learning-based DPM framework for multicore processors, we are able to manipulate idle periods on processor cores to achieve a better tradeoff between power consumption and system performance. Experimental results show that the proposed solution significantly outperforms existing DPM techniques.

Published in:

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:33 ,  Issue: 7 )

Date of Publication:

July 2014

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