Implementation and improvement of Wavefront Parallel Processing for HEVC encoding on many-core platform

Author

Shaobo Zhang ; Xiaoyun Zhang ; Zhiyong Gao

Author_Institution

Inst. of Image Commun. & Network Eng., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2014

fDate

14-18 July 2014

Firstpage

1

Lastpage

6

Abstract

In this paper, Wavefront Parallel Processing (WPP) is implemented effectively for real-time HEVC encoder on many-core platform, where ping-pang storage, data reuse and try-and-wait mechanism are designed to optimize data storage and communication among cores. Parallel scalability of WPP is analyzed and a mathematic model of WPP is presented. In addition, three effective approaches are presented to improve the parallel scalability of WPP. Experimental results show that the model is valuable and the proposed methods improve more than 40% maximum parallel scalability.

Keywords

multiprocessing systems; optimisation; parallel processing; storage management; video coding; HEVC encoding; WPP parallel scalability improvement; communication optimization; data reuse; data storage optimization; high efficiency video coding; many-core platform; mathematic model; ping-pang storage; try-and-wait mechanism; wavefront parallel processing improvement; Encoding; Mathematical model; Parallel processing; Scalability; Standards; Video coding; Videos; HEVC; WPP; many-core platform; parallelism;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on

Conference_Location

Chengdu

ISSN

1945-7871

Type

conf

DOI

10.1109/ICMEW.2014.6890596

Filename

6890596