• DocumentCode
    964373
  • Title

    Yield analysis of reconfigurable array processors based on multiple-level redundancy

  • Author

    Chen, Yung-Yuan ; Upadhyaya, Shambhu J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
  • Volume
    42
  • Issue
    9
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    1136
  • Lastpage
    1141
  • Abstract
    Presents and analyzes a new multiple-level redundancy scheme based on hierarchical and element level redundancy for the enhancement of yield and reliability of large area array processors. This scheme can effectively tolerate not only the random defects/faults, but also the clustered defects/faults. The analysis presented here is general in that it takes into account the chip-kill defects occurring in the support circuit area of the array processors and is applicable to a variety of array processors. The authors derive bounds for the support circuit area which will be useful in selecting the most cost-effective redundancy scheme for a given application. The concept of subprocessing element-level redundancy is discussed and it is shown that a combination of subprocessing element-level redundancy with hierarchical redundancy offers significant yield improvements, especially for array processors with large area processing elements. The problem of optimal redundancy is also addressed
  • Keywords
    fault tolerant computing; parallel processing; reconfigurable architectures; redundancy; array processors; chip-kill defects; fault tolerant computing; hierarchical redundancy; multiple-level redundancy; optimal redundancy; reconfigurable array processors; redundancy; reliability; yield; Circuit faults; Complexity theory; Fault tolerance; Integrated circuit interconnections; Integrated circuit manufacture; Manufacturing processes; Redundancy; System-on-a-chip; Very large scale integration; Wafer scale integration;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/12.241602
  • Filename
    241602