Dynamic voltage scaling on a low-power microprocessor
Proceedings of the 7th annual international conference on Mobile computing and networking
Energy efficient CMOS microprocessor design
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
Methods for Power/Throughput/Area Optimization of H.264/AVC Decoding
Journal of Signal Processing Systems
An analysis of power consumption in a smartphone
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
Proceedings of the Conference on Design, Automation and Test in Europe
Dynamic adaptive streaming over HTTP --: standards and design principles
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
H.264/AVC baseline profile decoder complexity analysis
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
On Complexity Modeling of H.264/AVC Video Decoding and Its Application for Energy Efficient Decoding
IEEE Transactions on Multimedia
Open-People: Open Power and Energy Optimization PLatform and Estimator
DSD '12 Proceedings of the 2012 15th Euromicro Conference on Digital System Design
GPP vs DSP: A Performance/Energy Characterization and Evaluation of Video Decoding
MASCOTS '13 Proceedings of the 2013 IEEE 21st International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems
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In addition to General Purpose Processors (GPP), Multi-core SoCs equipping modern mobile devices contain specialized Digital Signal Processor designed with the aim to provide better performance and low energy consumption properties. However, the experimental measurements we have achieved revealed that system overhead, in case of DSP video decoding, causes drastic performances drop and energy efficiency as compared to the GPP decoding. This paper describes DyPS, a new approach for energy-aware processor switching (GPP or DSP) according to the video quality. We show the pertinence of our solution in the context of adaptive video decoding and describe an implementation on an embedded Linux operating system with the help of the GStreamer framework. A simple case study showed that DyPS achieves 30% energy saving while sustaining the decoding performance.