• DocumentCode
    616932
  • Title

    Massively parallel jitter measurement from deep memory digital waveforms

  • Author

    Loken, Torbjorn ; Barford, Lee ; Harris, Frederick C.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Nevada, Reno, NV, USA
  • fYear
    2013
  • fDate
    6-9 May 2013
  • Firstpage
    1744
  • Lastpage
    1749
  • Abstract
    As the increase of computer clock rates has finally begun to reach its stopping point the focus has instead shifted to increasing the number of cores present. This increase in cores is seen most in Graphics Processing Units (GPUs) and other massively parallel processors. These new devices however bring with them new methods for achieving top performance. This paper uses jitter quantification to show the power that a massively parallel device can bring to measurement analysis. The parallel algorithm shown is able to obtain large speed ups over serial implementations and is able to analyze large data sets to provide a more complete picture of nature of the timing jitter in a signal.
  • Keywords
    clocks; graphics processing units; jitter; time measurement; GPU; computer clock rates; deep memory digital waveforms; graphics processing units; jitter quantification; massively parallel device; massively parallel jitter measurement; massively parallel processors; measurement analysis; timing jitter; Clocks; Data transfer; Graphics processing units; Histograms; Jitter; Throughput; clock recovery; parallel programming; signal analysis; time interval error; timing jitter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4673-4621-4
  • Type

    conf

  • DOI
    10.1109/I2MTC.2013.6555714
  • Filename
    6555714