• DocumentCode
    2262618
  • Title

    Mapping of H.264/AVC Encoder on a Hierarchical Chip Multicore DSP Platform

  • Author

    Chen, Shenggang ; Chen, Shuming ; Gu, Huitao ; Chen, Hu ; Yin, Yaming ; Chen, Xiaowen ; Sun, Shuwei ; Liu, Sheng ; Wang, Yaohua

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Defense Technol. Changsha, Changsha, China
  • fYear
    2010
  • fDate
    1-3 Sept. 2010
  • Firstpage
    465
  • Lastpage
    470
  • Abstract
    The emergence of large-scale chip multicore processors makes the on-chip parallel H.264/AVC encoder with high parallelism feasible. To reduce the data reload frequency, a hierarchical chip multi-core DSP platform with overall 64 DSP cores is designed to accommodate the computation/data-intensive H.264/AVC encoder. To increase parallelism, macro block level parallelism is exploited in this paper and wave front algorithm is utilized. Centralized shared memory in super nodes of this hierarchical DSP platform affords larger local space to hold the frequently used data and reduce bandwidth requirement. Subtask level parallelism within motion estimation, intra prediction and mode decision is further exploited to keep the DSP cores in a super node busy even only one macro block are assigned to a super node. Because of lack of available macro blocks in filling and emptying stages when encoding a frame, super nodes cannot be kept busy all the time and speedups of 13, 24, 26 and 49 are achieved for QCIF, SIF, CIF and HD sequences, respectively. To further improve the speedups and make best use of the processor resources, frame level parallelism should be exploited with carefully tuned memory allocation policy.
  • Keywords
    digital signal processing chips; motion estimation; parallel processing; shared memory systems; system-on-chip; video coding; H.264/AVC encoder mapping; bandwidth requirement reduction; centralized shared memory; data reload frequency reduction; hierarchical chip multicore DSP platform; large-scale chip multicore processors; macro block level parallelism; memory allocation policy; motion estimation; on-chip parallel H.264/AVC encoder; subtask level parallelism; wave front algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications (HPCC), 2010 12th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-8335-8
  • Electronic_ISBN
    978-0-7695-4214-0
  • Type

    conf

  • DOI
    10.1109/HPCC.2010.82
  • Filename
    5581447