Informationally decentralized system resource management for multiple multimedia tasks
IEEE Transactions on Circuits and Systems for Video Technology
Achieving viewing time scalability in mobile video streaming using scalable video coding
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
Online reinforcement learning for dynamic multimedia systems
IEEE Transactions on Image Processing
Software designs of image processing tasks with incremental refinement of computation
IEEE Transactions on Image Processing
Scheduling and energy-distortion tradeoffs with operational refinement of image processing
Proceedings of the Conference on Design, Automation and Test in Europe
Optimality and improvement of dynamic voltage scaling algorithms for multimedia applications
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Variability-tolerant workload allocation for MPSoC energy minimization under real-time constraints
ACM Transactions on Embedded Computing Systems (TECS)
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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