DocumentCode :
3697078
Title :
Realistic Task Parallelization of the H.264 Decoding Algorithm for Multiprocessors
Author :
Xiaohao Lin;Weichen Liu;Chunming Xiao;Jie Dai;Xianlu Luo;Dan Zhang;Duo Liu;Kaijie Wu;Qingfeng Zhuge;Edwin H.-M. Sha
Author_Institution :
Coll. of Comput. Sci., Chongqing Univ., Chongqing, China
fYear :
2015
Firstpage :
871
Lastpage :
874
Abstract :
There is a phenomenon that hardware technology has developed ahead of software technology in recent years. Companies lack of software techniques that can fully utilize the modern multi-core computing resources, mainly due to the difficulty of investigating the inherent parallelism inside a software. This problem exists in products ranging from energy-sensitive smartphones to performance-eager data centers. In this paper, we present a case study on the parallelization of the complex industry standard H.264 HDTV decoder application in multi-core systems. An optimal schedule of the tasks is obtained and implemented by a carefully-defined software parallelization framework (SPF). The parallel software framework is proposed together with a set of rules to direct parallel software programming (PSPR). A pre-processing phase based on the rules is applied to the source code to make the SPF applicable. The task-level parallel version of the H.264 decoder is implemented and tested extensively on a workstation running Linux. Significant performance improvement is observed for a set of benchmarks composed of 720p videos. The SPF and the PSPR will together serve as a reference for future parallel software implementations and direct the development of automated tools.
Keywords :
"Software","Decoding","Parallel processing","Industries","Software algorithms","Videos","Parallel programming"
Publisher :
ieee
Conference_Titel :
High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on
Type :
conf
DOI :
10.1109/HPCC-CSS-ICESS.2015.33
Filename :
7336273
Link To Document :
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