• DocumentCode
    1772593
  • Title

    A reconfigurable network-on-chip architecture for heterogeneous CMPs in the dark-silicon era

  • Author

    Modarressi, M. ; Sarbazi-Azad, H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
  • fYear
    2014
  • fDate
    18-20 June 2014
  • Firstpage
    76
  • Lastpage
    77
  • Abstract
    Core specialization is a promising solution to the dark silicon challenge. This approach trades off the cheaper silicon area with energy-efficiency by integrating a selection of many diverse application-specific cores into a single billion-transistor multicore chip. Each application then activates the subset of cores that best matches its processing requirements. These cores act as a customized application-specific CMP for the application. Such an arrangement of cores requires some special on-chip inter-core communication treatment to efficiently connect active cores. In this paper, we propose a reconfigurable network-on-chip that leverages the routers of the dark portion of the chip to customize the topology for the powered cores at any time. To this end, routers of the dark parts of the chip are used as bypass switches that can directly connect distant active nodes in the network. Our experimental results show considerable reduction in energy consumption and latency of on-chip communication.
  • Keywords
    computer architecture; multiprocessing systems; network-on-chip; application specific cores; bypass switches; cheaper silicon area; core specialization; dark portion; dark silicon challenge; dark silicon era; distant active nodes; energy consumption; heterogeneous CMP; onchip communication; powered cores; reconfigurable network-on-chip architecture; single billion transistor multicore chip; Multicore processing; Network topology; Ports (Computers); Registers; Silicon; System-on-chip; Topology; Dark Silicon; NoC; Reconfiguration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application-specific Systems, Architectures and Processors (ASAP), 2014 IEEE 25th International Conference on
  • Conference_Location
    Zurich
  • Type

    conf

  • DOI
    10.1109/ASAP.2014.6868637
  • Filename
    6868637