• DocumentCode
    2528744
  • Title

    Indirect method for random jitter measurement on SoCs using critical path characterization

  • Author

    Jae Wook Lee ; Ji Hwan Chun ; Abraham, J.A.

  • Author_Institution
    Intel Corp., Austin, TX, USA
  • fYear
    2012
  • fDate
    28-31 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a new method for random jitter measurement on systems-on-a-chip (SoCs) by exploiting shmoo plotting in automatic test equipment (ATE). After finding the maximum operating frequency of a microprocessor using functional test patterns that can sensitize its critical paths, the proposed method constructs a cumulative distribution function (CDF) whose standard deviation represents the root mean square (RMS) value of the random jitter of the clock signals used in the microprocessor. By leveraging tester period resolution with a frequency multiplying phase-locked loop (PLL) in the SoC, the shmoo plot with a fine period step size can detect the jitter component in the clock signal, which reflects the actual jitter that most critical paths undergo. The proposed idea was verified with circuit-level simulations, and was validated by silicon measurements using one of the latest SoC products.
  • Keywords
    automatic test equipment; jitter; microprocessor chips; system-on-chip; ATE; CDF; RMS value; SoC products; automatic test equipment; circuit-level simulations; clock signals; critical path characterization; cumulative distribution function; frequency multiplying PLL; frequency multiplying phase-locked loop; jitter component; microprocessor; random jitter measurement; root mean square value; shmoo plotting; silicon measurements; standard deviation; systems-on-a-chip; Clocks; Integrated circuit modeling; Jitter; Mathematical model; Microprocessors; Phase locked loops; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Symposium (ETS), 2012 17th IEEE European
  • Conference_Location
    Annecy
  • Print_ISBN
    978-1-4673-0696-6
  • Electronic_ISBN
    978-1-4673-0695-9
  • Type

    conf

  • DOI
    10.1109/ETS.2012.6233022
  • Filename
    6233022