DocumentCode :
932870
Title :
Complexity Model Based Proactive Dynamic Voltage Scaling for Video Decoding Systems
Author :
Akyol, Emrah ; Van der Schaar, Mihaela
Author_Institution :
Univ. of California, Los Angeles
Volume :
9
Issue :
7
fYear :
2007
Firstpage :
1475
Lastpage :
1492
Abstract :
Significant power savings can be achieved on voltage/ frequency configurable platforms by dynamically adapting the frequency and voltage according to the workload (complexity). Video decoding is one of the most complex tasks performed on such systems due to its computationally demanding operations like inverse filtering, interpolation, motion compensation and entropy decoding. Dynamically adapting the frequency and voltage for video decoding is attractive due to the time-varying workload and because the utility of decoding a frame is dependent only on decoding the frame before the display deadline. Our contribution in this paper is twofold. First, we adopt a complexity model that explicitly considers the video compression and platform specifics to accurately predict execution times. Second, based on this complexity model, we propose a dynamic voltage scaling algorithm that changes effective deadlines of frame decoding jobs. We pose our problem as a buffer-constrained optimization and show that significant improvements can be achieved over the state-of-the-art dynamic voltage scaling techniques without any performance degradation. Index
Keywords :
computational complexity; data compression; decoding; filtering theory; interpolation; motion compensation; video coding; buffer-constrained optimization; complexity model; dynamic voltage scaling techniques; entropy decoding; interpolation; inverse filtering; motion compensation; proactive dynamic voltage scaling; time-varying workload; video compression; video decoding systems; Complexity prediction; dynamic voltage scaling; video decoding;
fLanguage :
English
Journal_Title :
Multimedia, IEEE Transactions on
Publisher :
ieee
ISSN :
1520-9210
Type :
jour
DOI :
10.1109/TMM.2007.906563
Filename :
4351894
Link To Document :
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