Envelope detection based workload prediction for partial decoding scheme

Chen Liu, Xin Jin, Satoshi Goto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a novel envelope detection based workload prediction is proposed. The workload estimation is based on the envelope of the difference value between the previous adjacent actual-workloads, and the envelope is obtained by an absolute value and low pass filter method. To further improve the performance of the envelope detection, the negative truncation is introduced by ignoring the negative difference. This workload prediction method is proposed for the partial decoding scheme and works together with the Dynamic Voltage Frequency Scaling (DVFS) to reduce the power consumption of H.264/AVC video decoding. It provides accurate estimation results with only 0.66% deadline missing rate, which is much lower than previous methods. The power consumption results on the evaluation board show that, with the proposed envelope detection based workload prediction and DVFS, the power reduction achieves about 41.65%, the energy reduction is about 10.16%. The energy reduction of the partial decoding together with proposed workload prediction and DVFS is about 61.15% compare to the fully decoding without DVFS.

Original languageEnglish
Title of host publicationIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
Pages53-56
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012 - Kaohsiung
Duration: 2012 Dec 22012 Dec 5

Other

Other2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012
CityKaohsiung
Period12/12/212/12/5

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Liu, C., Jin, X., & Goto, S. (2012). Envelope detection based workload prediction for partial decoding scheme. In IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS (pp. 53-56). [6418969] https://doi.org/10.1109/APCCAS.2012.6418969