Title :
A DVFS based HEVC decoder for energy-efficient software implementation on embedded processors
Author :
Nogues, Erwan ; Berrada, Romain ; Pelcat, Maxime ; Menard, Daniel ; Raffin, Erwan
Author_Institution :
IETR, INSA, Rennes, France
fDate :
June 29 2015-July 3 2015
Abstract :
Software video decoders for mobile devices are now a reality thanks to recent advances in Systems-on-Chip (SoC). The challenge has now moved to designing energy efficient systems. In this paper, we propose a light Dynamic Voltage Frequency Scaling (DVFS)-enabled software adapted to the much varying processing load of High Efficiency Video Coding (HEVC) real-time decoding. We analyze a practical evaluation of a HEVC decoder using our proposal on a Samsung Exynos low-power SoC widely used in portable devices. Experimental results show more than 50% of power savings on a real-time decoding when compared to the same software managed by the OnDemand Linux power management. For mobile applications, the proposed method can achieve 720p video HEVC decoding at 60 frames per second consuming approximately 1.1W with pure software decoding on a general purpose processor.
Keywords :
Android (operating system); embedded systems; mobile computing; power aware computing; system-on-chip; video coding; 720p video HEVC decoding; DVFS based HEVC decoder; Samsung Exynos low-power SoC; SoC; dynamic voltage frequency scaling; embedded processor; energy-efficient software; high efficiency video coding; mobile device; ondemand Linux power management; portable devices; software decoding; software video decoder; system-on-chip; Complexity theory; Decoding; Metadata; Power demand; Software; Streaming media; System-on-chip; DVFS; HEVC; low power;
Conference_Titel :
Multimedia and Expo (ICME), 2015 IEEE International Conference on
Conference_Location :
Turin
DOI :
10.1109/ICME.2015.7177406