@inproceedings{41461202040a4caf9dca3b73a1686143,
title = "Optimal power reduction based on DVFS algorithm for video decoders",
abstract = "This paper proposes an optimal DVFS (Dynamic Voltage and Frequency Scaling) scheduling algorithm for decoders. Many DVFS techniques for video decoders have been proposed as a system level power-reduction technique. In this paper, based on the similarity in the system model with the 'Maximal Traffic Smoothing Algorithm [1],' an optimal scheduling algorithm and its schedulable conditions are presented. The simulation results show the optimal algorithm outperforms the previous heuristic algorithms by 7\% on average. Furthermore, the performance gain saturates at about 10 frame size of the display buffers, i.e. the GOP level.",
keywords = "DVFS, embedded system, majorization theory, optimal theory, video decoder",
author = "Seungho Jeong and Heejune Ahn",
year = "2011",
doi = "10.1145/2103380.2103402",
language = "English",
isbn = "9781450310871",
series = "Proceedings of the 2011 ACM Research in Applied Computation Symposium, RACS 2011",
pages = "107--109",
booktitle = "Proceedings of the 2011 ACM Research in Applied Computation Symposium, RACS 2011",
note = "2011 ACM Research in Applied Computation Symposium, RACS 2011 ; Conference date: 02-11-2011 Through 05-11-2011",
}