• DocumentCode
    2074960
  • Title

    Manycore processor for video mining applications

  • Author

    Matsumoto, Yuki ; Uchida, Hironaga ; Hagimoto, Michiya ; Hibi, Y. ; Torii, Shuichi ; Izumida, M.

  • Author_Institution
    TOPS Syst. Corp., Tsukuba, Japan
  • fYear
    2013
  • fDate
    22-25 Jan. 2013
  • Firstpage
    574
  • Lastpage
    575
  • Abstract
    Through Architecture-Algorithm co-design for Video Mining Applications we designed a scalable Manycore processor consists of clustered heterogeneous cores with stream processing capabilities, and zero-overhead inter-process communication through FIFO with a hardware-software mechanism. For achieving high-performance and low-power consumption, especially so as to reduce memory access required for Video Mining Applications, each application is partitioned to exploit both task and data parallelism, and programmed as a distributed stream processing with relatively large local register-file based on Kahn Process Network model.
  • Keywords
    data mining; multiprocessing systems; video streaming; FIFO; Kahn process network model; architecture-algorithm codesign; clustered heterogeneous cores; data parallelism; distributed stream processing; hardware-software mechanism; large local register-file; low-power consumption; memory access reduction; scalable manycore processor; video mining applications; zero-overhead inter-process communication; Algorithm design and analysis; Data mining; Feature extraction; Object detection; Parallel processing; Streaming media; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (ASP-DAC), 2013 18th Asia and South Pacific
  • Conference_Location
    Yokohama
  • ISSN
    2153-6961
  • Print_ISBN
    978-1-4673-3029-9
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2013.6509659
  • Filename
    6509659