• DocumentCode
    3364568
  • Title

    H.264 decoder on embedded dual core with dynamically load-balanced functional paritioning

  • Author

    Kim, Minsoo ; Song, Joonho ; Kim, Dohyung ; Lee, Shihwa

  • Author_Institution
    Samsung Adv. Inst. of Technol., Suwon, South Korea
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    3749
  • Lastpage
    3752
  • Abstract
    In this paper, we address the problem of mapping H.264 main profile decoder on embedded dual core with dynamic load balancing. H.264 decoder is mapped to dual core system with a few hardware accelerators by proposed functional partitioning which enables simple interface with hardware accelerator and small memory usage for inter-core communication. We also propose dynamic load balancing method for the functional partitioning. The load balancing is done by mapping a few selected functions to each core dynamically at macroblock level. In this case, buffer level information is enough for making decision which core runs those functions. Because of this simple decision criterion and mechanism, performance loss for load balancing process can be negligible and it is also possible to extend the proposed load balancing method to multi-core systems easily. Experimental result shows that the proposed load balancing method reduces the waiting overhead dramatically and the reduced amount is 82.3% of the total waiting overhead.
  • Keywords
    decoding; embedded systems; multiprocessing systems; resource allocation; video coding; H.264 decoder; buffer level information; decision criterion; decoder mapping; dynamic load balancing; embedded dual core system; functional partitioning; hardware accelerator; intercore communication; macroblock level; memory usage; multicore system; Conferences; Decoding; Load management; Multicore processing; Streaming media; Synchronization; Data Partitioning; Dynamic Load Balancing; Functional Partitioning; H.264; Multicore;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5653439
  • Filename
    5653439