• DocumentCode
    1679937
  • Title

    SRAMs in Scaled Technologies under Process Variations: Failure Mechanisms, Test & Variation Tolerant Design

  • Author

    Mukhopadhyay, Saibal ; Agarwal, Amit ; Chen, Qikai ; Roy, Kaushik

  • Author_Institution
    Dept. of ECE, Purdue Univ., West Lafayette, IN
  • fYear
    2006
  • Firstpage
    547
  • Lastpage
    554
  • Abstract
    The inter-die and intra-die variations in process parameters (in particular, threshold voltage (Vt)) can lead to large number of failures in an SRAM array, thereby, degrading the design yield in nanometer technologies. To improve parametric yield of nano-scaled memories, different circuit and architectural level techniques can be used. In this paper, we first analyze and model different SRAM failures due to parameter variations, and discuss test methodologies to test for process variation induced failures. Next, we describe two different self-repairing techniques-at the circuit level, using adaptive body biasing and at the architecture level, using built-in-self-test (BIST), redundancy and address remapping. The discussed self-repair mechanisms can improve design yield much beyond what can be achieved using row/column redundancy and error correcting codes (ECC) alone
  • Keywords
    SRAM chips; circuit testing; process design; SRAM; adaptive body biasing; built-in-self-test; error correcting codes; failure mechanisms; nano-scaled memories; nanometer technologies; parametric yield; process variations; scaled technologies; Circuit faults; Circuit testing; Degradation; Error correction; Error correction codes; Failure analysis; Random access memory; Redundancy; Threshold voltage; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Custom Integrated Circuits Conference, 2006. CICC '06. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    1-4244-0075-9
  • Electronic_ISBN
    1-4244-0076-7
  • Type

    conf

  • DOI
    10.1109/CICC.2006.320988
  • Filename
    4115020