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

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...

Full description

Saved in:
Bibliographic Details
Published inProceedings (IEEE International Conference on Multimedia and Expo) pp. 1 - 6
Main Authors Shaobo Zhang, Xiaoyun Zhang, Zhiyong Gao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2014
Subjects
Encoding
HEVC
many-core platform
Mathematical model
Parallel processing
parallelism
Scalability
Video coding
Videos
WPP
Online AccessGet full text
ISSN1945-7871
DOI10.1109/ICMEW.2014.6890596

Cover

More Information
Summary: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.
ISSN:1945-7871
DOI:10.1109/ICMEW.2014.6890596