• DocumentCode
    3062426
  • Title

    A Method of Gate-Level Circuit Reliability Estimation Based on Iterative PTM Model

  • Author

    Xiao, Jie ; Jiang, Jianhui ; Zhu, Xuguang ; Ouyang, Chengtian

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
  • fYear
    2011
  • fDate
    12-14 Dec. 2011
  • Firstpage
    276
  • Lastpage
    277
  • Abstract
    The rapid development of nanotechnology has opened up new possibilities and introduced new challenges for circuit design. It is very important to study new analysis methods for accurate circuit reliability. Few methods for evaluating circuit reliability were proposed in recent years. For example, the original probabilistic transfer matrix (PTM) model has large time and space overhead, so it can only calculate small scale circuits, the improved PTM model proposed in [2] can handle large scale circuits but it also has large time overhead. In this paper, the concept of macro-gate is defined and an iterative PTM model based on macro-gate is proposed. Based on this model, a circuit reliability evaluation algorithm that can calculate the circuit reliability from primary input to any level of the circuit is given. The complexity of the proposed algorithm related to the number of macro-gates contained in the circuit is linear. Experimental results show that the proposed method has the same accuracy as the PTM model, but it has lower time overhead for large circuits.
  • Keywords
    circuit reliability; logic gates; circuit reliability evaluation algorithm; gate-level circuit reliability estimation; iterative PTM model; macro-gate; probabilistic transfer matrix model; Integrated circuit modeling; Integrated circuit reliability; Logic gates; Probabilistic logic; Probability distribution; Reliability theory; Gate-level reliability estimation; iterative PTM model; logical partition; macro-gate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Computing (PRDC), 2011 IEEE 17th Pacific Rim International Symposium on
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    978-1-4577-2005-5
  • Electronic_ISBN
    978-0-7695-4590-5
  • Type

    conf

  • DOI
    10.1109/PRDC.2011.45
  • Filename
    6133091