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    Design methods for self-repairing digital logic

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    YANG-DISSERTATION-2019.pdf (2.769Mb)
    Date
    2019-11-07
    Author
    Yang, Jingchi
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    Abstract
    A systematic approach for the design of self-testable, self-correcting, self-repairing and self-healing digital systems was proposed. This self-test/self-repair methodology is accomplished autonomously, in a distributed fashion, so that it can scale as the size of the system grows. Modular redundancy and re-programmability are exploited to accomplish generic self-test (applicable to nearly any application) and to enable self-repair in general, and self-healing in FPGAs. Error rates are measured throughout the design to distinguish between transient errors and permanent or semi-permanent logic faults. Original logic design is automatically transformed to this self-healing architecture via customizable software. Logic reconfiguration occurs automatically, replacing failing logic modules so that the system continues to operate error-free while partial dynamic reconfiguration is used to heal failing logic (in the case of soft faults in FPGAs). Various digital designs of different scales are implemented and examined under random error injection. The test results demonstrate the effectiveness of this design.
    URI
    http://hdl.handle.net/1853/62326
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    • Georgia Tech Theses and Dissertations [23877]
    • School of Electrical and Computer Engineering Theses and Dissertations [3381]

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