Low power parallel surveillance video encoding system based on joint power-speed scheduling

Xin Jin; Satoshi Goto

doi:10.1109/VCIP.2011.6115950

Low power parallel surveillance video encoding system based on joint power-speed scheduling

Xin Jin^*, Satoshi Goto

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, a low power parallel surveillance video encoding system based on joint power-speed scheduling is proposed. The relative relationships among the CPU statuses, total power consumption and encoding speed are analyzed and modeled for multi-core processors. Based on the power directional graph and the relative encoding speed model, the working statuses of the cores are controlled jointly adapting to video encoding workload to minimize the total power consumption. It provides more than 20% power reduction compared with the latest existing system without a penalty on the encoding speed.

Original language	English
Title of host publication	2011 IEEE Visual Communications and Image Processing, VCIP 2011
DOIs	https://doi.org/10.1109/VCIP.2011.6115950
Publication status	Published - 2011
Event	2011 IEEE Visual Communications and Image Processing, VCIP 2011 - Tainan Duration: 2011 Nov 6 → 2011 Nov 9

Other

Other	2011 IEEE Visual Communications and Image Processing, VCIP 2011
City	Tainan
Period	11/11/6 → 11/11/9

Keywords

DVFS
H.264/AVC
Joint power-speed scheduling
multicore platform
parallel encoding
video encoding

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

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10.1109/VCIP.2011.6115950

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title = "Low power parallel surveillance video encoding system based on joint power-speed scheduling",

abstract = "In this paper, a low power parallel surveillance video encoding system based on joint power-speed scheduling is proposed. The relative relationships among the CPU statuses, total power consumption and encoding speed are analyzed and modeled for multi-core processors. Based on the power directional graph and the relative encoding speed model, the working statuses of the cores are controlled jointly adapting to video encoding workload to minimize the total power consumption. It provides more than 20% power reduction compared with the latest existing system without a penalty on the encoding speed.",

keywords = "DVFS, H.264/AVC, Joint power-speed scheduling, multicore platform, parallel encoding, video encoding",

author = "Xin Jin and Satoshi Goto",

year = "2011",

doi = "10.1109/VCIP.2011.6115950",

language = "English",

isbn = "9781457713200",

booktitle = "2011 IEEE Visual Communications and Image Processing, VCIP 2011",

note = "2011 IEEE Visual Communications and Image Processing, VCIP 2011 ; Conference date: 06-11-2011 Through 09-11-2011",

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AU - Jin, Xin

AU - Goto, Satoshi

PY - 2011

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N2 - In this paper, a low power parallel surveillance video encoding system based on joint power-speed scheduling is proposed. The relative relationships among the CPU statuses, total power consumption and encoding speed are analyzed and modeled for multi-core processors. Based on the power directional graph and the relative encoding speed model, the working statuses of the cores are controlled jointly adapting to video encoding workload to minimize the total power consumption. It provides more than 20% power reduction compared with the latest existing system without a penalty on the encoding speed.

AB - In this paper, a low power parallel surveillance video encoding system based on joint power-speed scheduling is proposed. The relative relationships among the CPU statuses, total power consumption and encoding speed are analyzed and modeled for multi-core processors. Based on the power directional graph and the relative encoding speed model, the working statuses of the cores are controlled jointly adapting to video encoding workload to minimize the total power consumption. It provides more than 20% power reduction compared with the latest existing system without a penalty on the encoding speed.

KW - DVFS

KW - H.264/AVC

KW - Joint power-speed scheduling

KW - multicore platform

KW - parallel encoding

KW - video encoding

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M3 - Conference contribution

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SN - 9781457713200

BT - 2011 IEEE Visual Communications and Image Processing, VCIP 2011

T2 - 2011 IEEE Visual Communications and Image Processing, VCIP 2011

Y2 - 6 November 2011 through 9 November 2011

ER -

Low power parallel surveillance video encoding system based on joint power-speed scheduling

Abstract

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Keywords

ASJC Scopus subject areas

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