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Georgia Institute of Technology

Design methods for self-repairing digital logic

Abstract

dc:description.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.

Degree

thesis:*
Level thesis:degree_level
Doctoral
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Georgia Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yang, Jingchi
Advisor dc:contributor.advisor
  • Keezer, David C.
Committee members dc:contributor.committeemember
  • Milor, Linda
  • Madisetti, Vijay
  • Jayaraman, Sundaresan
  • Chatterjee, Abhijit

Subjects

dc:subject × 2

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1853/62326
OAI identifier oai:identifier
oai:repository.gatech.edu:1853/62326

Chain of custody

source
Harvested from
Georgia Tech
Base URL
repository.gatech.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Yang, Jingchi. Design methods for self-repairing digital logic. Doctoral thesis, Georgia Institute of Technology, 2019. http://hdl.handle.net/1853/62326