• DocumentCode
    159481
  • Title

    A heuristic path selection method for small delay defects test

  • Author

    Foroutatf, Paniz ; Kamal, Mustaffa ; Navabi, Zainalabedin

  • Author_Institution
    Dept. of Comput. Eng., Islamic Azad Univ., Tehran, Iran
  • fYear
    2014
  • fDate
    1-3 Oct. 2014
  • Firstpage
    252
  • Lastpage
    257
  • Abstract
    By increasing the impact of process variation on the uncertainty of the delay of the gates, and also the need for increasing the number of test paths, delay test has become an essential part of the chip testing. In this paper, a heuristic test path selection method is proposed that is a combination of the non-optimal and optimal selection methods. In the first step of the proposed selection method, the search space is reduced by considering correlations between the paths. Next, by using ILP formulation, best paths from the reduced search space are selected. For the ILP formulation, we have proposed an objective function which considers correlation and the criticality of the paths. The results show that the delay failure capturing probability (DFCP) of the proposed path selection method for eight largest ITC´99 benchmarks, on average, is only about 3% smaller than the Monte Carlo method, while its runtime is about 1340 times smaller than the Monte Carlo approach.
  • Keywords
    Monte Carlo methods; circuit simulation; delay estimation; integrated circuit testing; network analysis; DFCP; ILP formulation; Monte Carlo method; chip testing; delay defects test; delay failure capturing probability; heuristic path selection method; search space; Decision support systems; Delays; Discrete Fourier transforms; Fault tolerance; Fault tolerant systems; Nanotechnology; Very large scale integration; Delay Test; Heuristic Algorithm; ILP Optimization; Path Selection; Process Variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2014 IEEE International Symposium on
  • Conference_Location
    Amsterdam
  • Print_ISBN
    978-1-4799-6154-2
  • Type

    conf

  • DOI
    10.1109/DFT.2014.6962082
  • Filename
    6962082