• DocumentCode
    3683256
  • Title

    Improving X-tolerant combinational output compaction via input rotation

  • Author

    Asad Amin Bawa;Nur A. Touba

  • Author_Institution
    Computer Engineering Research Center, University of Texas, 78712, USA
  • fYear
    2015
  • Firstpage
    167
  • Lastpage
    170
  • Abstract
    Combinational linear compactors can be used to compact the output response for a large number of scan chains into a smaller number of outputs. While some compactor designs can guarantee observation of all scan chains in the presence of a small number of X´s, this may not be sufficient for designs with higher X densities. This paper describes an approach for using a combinational rotator between the scan chains and compactor to allow detection of faults even in the presence of high X densities. It is shown that the number of control inputs to the rotator is comparable to the number of control inputs required by conventional X masking approaches, but by not masking, the proposed approach is able to provide higher observability which translates to fewer test patterns, better compression, and better coverage of non-modeled faults. Moreover, the control data for the rotator has many more don´t cares than the control data for X masking thereby making it easier and more efficient to compress with a linear decompressor. A heuristic procedure for ordering the inputs to a combinational compactor to increase the probability of observation for a given maximum shift distance is also presented. Experimental results indicate that high observability can be achieved using the proposed method with a relatively small number of control inputs.
  • Keywords
    "Observability","Very large scale integration","Fans","Compaction","Design automation","Circuit faults","Discrete Fourier transforms"
  • Publisher
    ieee
  • Conference_Titel
    Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS), 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/DFT.2015.7315156
  • Filename
    7315156