• DocumentCode
    256715
  • Title

    Study of task scheduling for HEVC video decoder in heterogeneous computational environment

  • Author

    Arzumanyan, R. ; Fartukov, A. ; Jeik Kim

  • Author_Institution
    Algorithm Lab., Samsung R&D Inst. Rus, Moscow, Russia
  • fYear
    2014
  • fDate
    7-10 Oct. 2014
  • Firstpage
    577
  • Lastpage
    579
  • Abstract
    With the fast development of mobile technologies and wireless Internet access, video streaming share grows rapidly. New HEVC (High Efficiency Video Codec) standard was introduced by ITU-T in 2013. It increases compression rate and, in the same time, computational efforts. Thus development of efficient decoding systems for mobile platforms becomes actual problem. This paper is dedicated to analysis of possible issues which arise during design of the important decoder´s component - task scheduler. In particular, opportunities of HEVC decoding parallelization on mobile devices using GPGPU (General Purpose Graphics Processing Unit) technique are considered.
  • Keywords
    decoding; graphics processing units; scheduling; video codecs; video coding; video streaming; GPGPU; HEVC video decoder; efficient decoding systems; general purpose graphics processing unit technique; heterogeneous computational environment; high efficiency video codec standard; mobile devices; mobile platforms; task scheduling; video streaming; Bandwidth; Central Processing Unit; Decoding; Graphics processing units; Kernel; Random access memory; Streaming media; Heterogeneous computational environment; High Efficiency Video Coding (HEVC); OpenCL; general-purpose computing; graphics processing unit (GPU); task scheduler;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on
  • Conference_Location
    Tokyo
  • Type

    conf

  • DOI
    10.1109/GCCE.2014.7031103
  • Filename
    7031103