Realistic task parallelization of the H.264 decoding algorithm for multiprocessors

  • Xiaohao Lin
  • , Weichen Liu*
  • , Chunming Xiao
  • , Jie Dai
  • , Xianlu Luo
  • , Dan Zhang
  • , Duo Liu
  • , Kaijie Wu
  • , Qingfeng Zhuge
  • , Edwin H.M. Sha
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages871-874
Number of pages4
ISBN (Electronic)9781479989362
DOIs
StatePublished - 23 Nov 2015
Externally publishedYes
Event17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 - New York, United States
Duration: 24 Aug 201526 Aug 2015

Publication series

NameProceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015

Conference

Conference17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015
Country/TerritoryUnited States
CityNew York
Period24/08/1526/08/15

Keywords

  • Decoding
  • Industries
  • Parallel processing
  • Parallel programming
  • Software
  • Software algorithms
  • Videos

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