• DocumentCode
    506442
  • Title

    Using ant colony optimization for test vector reordering

  • Author

    Wang, Jianhua ; Shao, Jingbo ; Li, Yingmei ; Huang, Yuyan

  • Author_Institution
    Provincial Key Discipline & Key Lab., Harbin Normal Univ., Harbin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    4-6 Oct. 2009
  • Firstpage
    52
  • Lastpage
    55
  • Abstract
    The increasing complexity of chip design has posed great challenge for low power SoC test. Test vector reordering technique can lower circuit power dissipation. This paper proposes a new approach to low power SoC test based on ant colony optimization to find the optimal orders for test vector application. Experimental results on benchmark ITC´02 demonstrate the average improvement of 12.3% over the existing methods.
  • Keywords
    automatic testing; integrated circuit testing; low-power electronics; optimisation; system-on-chip; ant colony optimization; chip design; low power SoC test; power dissipation; test vector reordering; Ant colony optimization; Circuit testing; Clocks; Computer science; Educational institutions; Electronic equipment testing; Industrial electronics; Laboratories; Power dissipation; System-on-a-chip; Ant colony algorithm; Test vector reordering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-4681-0
  • Electronic_ISBN
    978-1-4244-4683-4
  • Type

    conf

  • DOI
    10.1109/ISIEA.2009.5356501
  • Filename
    5356501