• DocumentCode
    129300
  • Title

    Application mapping for express channel-based networks-on-chip

  • Author

    Di Zhu ; Lizhong Chen ; Siyu Yue ; Pedram, Massoud

  • Author_Institution
    Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2014
  • fDate
    24-28 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the emergence of many-core multiprocessor system-on-chips (MPSoCs), the on-chip networks are facing serious challenges in providing fast communication for various tasks and cores. One promising solution shown in recent studies is to add express channels to the network as shortcuts to bypass intermediate routers, thereby reducing packet latency. However, this approach also greatly changes the packet delay estimation and traffic behaviors of the network, both of which have not yet been exploited in existing mapping algorithms. In this paper, we explore the opportunities in optimizing application mapping for express channel-based on-chip networks. Specifically, we derive a new delay model for this type of networks, identify their unique characteristics, and propose an efficient heuristic mapping algorithm that increases the bypassing opportunities by reducing unnecessary turns that would otherwise impose the entire router pipeline delay to packets. Simulation results show that the proposed algorithm can achieve a 2~4X reduction in the number of turns and 10~26% reduction in the average packet delay.
  • Keywords
    delays; network-on-chip; optimisation; MPSoC; application mapping; delay model; express channel based networks on chip; heuristic mapping algorithm; many core multiprocessor system on chips; packet delay; router pipeline delay; Algorithm design and analysis; Clustering algorithms; Delays; Heuristic algorithms; Pipelines; Routing; Tiles; application mapping; express channels; network-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation and Test in Europe Conference and Exhibition (DATE), 2014
  • Conference_Location
    Dresden
  • Type

    conf

  • DOI
    10.7873/DATE.2014.251
  • Filename
    6800452