• DocumentCode
    2347457
  • Title

    Agent-based on-chip network using efficient selection method

  • Author

    Ebrahimi, Masoumeh ; Daneshtalab, Masoud ; Liljeberg, Pasi ; Plosila, Juha ; Tenhunen, Hannu

  • Author_Institution
    Dept. of Inf. Technol., Univ. of Turku, Turku, Finland
  • fYear
    2011
  • fDate
    3-5 Oct. 2011
  • Firstpage
    284
  • Lastpage
    289
  • Abstract
    Congestion in on-chip networks may cause many drawbacks in multiprocessor systems including throughput reduction, increase in latency, and additional power consumption. Furthermore, conventional congestion control methods, employed for on-chip networks, cannot efficiently collect congestion information and distribute them over the on-chip network. In this paper, we present a novel structure for on-chip networks, named Agent-based Network-on-Chip (ANoC), to diagnose the congested areas. In addition to the presented structure, an efficient Congestion-Aware Selection (CAS) method is proposed to reduce overall network latency. CAS is capable of selecting an appropriate output channel to route packets along a less congested path. 29% average and 35% maximum latency reduction are achieved on SPLASH-2 and PARSEC benchmarks running on a 36-core Chip Multi-Processor.
  • Keywords
    multiprocessing systems; network-on-chip; power consumption; PARSEC benchmarks; SPLASH-2; agent-based network-on-chip; congestion-aware selection; conventional congestion control methods; efficient selection method; latency; multiprocessor systems; on-chip networks; power consumption; Adaptive systems; Algorithm design and analysis; Classification algorithms; Heuristic algorithms; Power demand; Routing; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI and System-on-Chip (VLSI-SoC), 2011 IEEE/IFIP 19th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-0171-9
  • Electronic_ISBN
    978-1-4577-0169-6
  • Type

    conf

  • DOI
    10.1109/VLSISoC.2011.6081593
  • Filename
    6081593