• DocumentCode
    2179068
  • Title

    Network traffic exploration on a many-core computing platform: SpiNNaker real-time traffic visualiser

  • Author

    Liu, Gengting ; Camilleri, Patrick ; Furber, Steve ; Garside, Jim

  • Author_Institution
    School of Computer Science, University of Manchester, Manchester, United Kingdom
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    228
  • Lastpage
    231
  • Abstract
    The performance of modern supercomputers is ever-increasing. Different kinds of massively parallel programs are written to maximally utilise the computing power provided by these many-core computing machines. However, this performance shrinks when network congestion occurs. SpiNNaker is an energy-efficient and highly parallel computing platform, which has built-in diagnostic hardware and congestion-aware adaptive routing. This paper describes the diagnostic technology available in SpiNNaker machines and presents a new software tool called SpiNNaker real-time traffic visualiser which adopts visualisation technology to explore the network traffic in SpiNNaker machines. This visualiser can assist application developers in detecting network traffic congestion with the provision of real-time configuration and data-logging functions.
  • Keywords
    Delays; Histograms; Radiation detectors; Real-time systems; Registers; Routing; Visualization; Chip Multiprocessor; Network congestion; Network on Chip; Network traffic visualisation; SpiNNaker project;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ph.D. Research in Microelectronics and Electronics (PRIME), 2015 11th Conference on
  • Conference_Location
    Glasgow, United Kingdom
  • Type

    conf

  • DOI
    10.1109/PRIME.2015.7251376
  • Filename
    7251376