NDLI: Energy optimization for real-time multiprocessor system-on-chip with optimal DVFS and DPM combination

Content Provider	ACM Digital Library
Author	Knoll, Alois Chen, Gang Huang, Kai
Copyright Year	2014
Abstract	Energy optimization is a critical design concern for embedded systems. Combining DVFS+DPM is considered as one preferable technique to reduce energy consumption. There have been optimal DVFS+DPM algorithms for periodic independent tasks running on uniprocessor in the literature. Optimal combination of DVFS and DPM for periodic dependent tasks on multicore systems is however not yet reported. The challenge of this problem is that the idle intervals of cores are not easy to model. In this article, a novel technique is proposed to directly model the idle intervals of individual cores such that both DVFS and DPM can be optimized at the same time. Based on this technique, the energy optimization problem is formulated by means of mixed integrated linear programming. We also present techniques to prune the exploration space of the formulation. Experimental results using real-world benchmarks demonstrate the effectiveness of our approach compared to existing approaches.
Starting Page	1
Ending Page	21
Page Count	21
File Format	PDF
ISSN	15399087
e-ISSN	15583465
DOI	10.1145/2567935
Volume Number	13
Issue Number	3s
Journal	ACM Transactions on Embedded Computing Systems (TECS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-03-28
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	DPM DVFS Scheduling Energy optimization Real-time MPSoCs
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture Software

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