• DocumentCode
    3568925
  • Title

    Reducing scan-shift power through scan partitioning and test vector reordering

  • Author

    Tiebin Wu ; Li Zhou ; Hengzhu Liu

  • Author_Institution
    Coll. of Comput., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2014
  • Firstpage
    498
  • Lastpage
    501
  • Abstract
    Excessive test power dissipation results in over-testing, IR-drop, yield loss and even heat damage to the circuit under test (CUT). An efficient scan-shift power reduction scheme based on scan chain partitioning and test vector reordering is presented in this paper. After partitioning the scan chains into several segments equally, a heuristic ant colony optimization (ACO) algorithm is introduced to reorder the test vectors to minimize the clashes between the previous test response and current test vector, which leads to scan-shift power reduction further. Experimental results show that the proposal can achieve 3.48% scan-shift power reduction on average with the help of ACO test vectors reordering after scan partitioning. Furthermore, the proposed scan-shift power reduction technique can be acceptable for any scan-based testing architecture without affecting test application time, test fault coverage, performance and/or routing cost of the CUT.
  • Keywords
    ant colony optimisation; circuit optimisation; integrated circuit testing; performance evaluation; power aware computing; CUT; circuit under test; heuristic ACO algorithm; heuristic ant colony optimization algorithm; scan chain partitioning; scan-based testing architecture; scan-shift power reduction scheme; test power dissipation; test vector reordering; Cities and towns; Computer architecture; Heuristic algorithms; Power demand; Testing; Vectors; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems (ICECS), 2014 21st IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICECS.2014.7050031
  • Filename
    7050031