• DocumentCode
    3682275
  • Title

    Intelligent task scheduler with high throughput NoC for real-time mobile object recognition SoC

  • Author

    Kyuho Lee;Junyoung Park;Injoon Hong;Hoi-Jun Yoo

  • Author_Institution
    Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
  • fYear
    2015
  • Firstpage
    100
  • Lastpage
    103
  • Abstract
    An Intelligent Task Scheduler (ITS) together with Congestion-avoiding Flexible Routing (CAFeR) are proposed to minimize network congestion of network-on-chip (NoC), so as to improve the throughput of multi-core system for fast and accurate object recognition. The ITS predicts the communication pattern of next frame and intelligently assigns tasks to consumer cores. It also adaptively controls buffer threshold of each link in NoC to support CAFeR to enhance packet transaction throughput, which enables packets to communicate with less congestion. Thanks to the proposed ITS with 91.4% of prediction accuracy and CAFeR, the overall latency is reduced by 50.2%.
  • Keywords
    "Routing","Ports (Computers)","Object recognition","Accuracy","Throughput","Pipelines","Monitoring"
  • Publisher
    ieee
  • Conference_Titel
    European Solid-State Circuits Conference (ESSCIRC), ESSCIRC 2015 - 41st
  • ISSN
    1930-8833
  • Print_ISBN
    978-1-4673-7470-5
  • Type

    conf

  • DOI
    10.1109/ESSCIRC.2015.7313838
  • Filename
    7313838