A distributed diagnosis algorithm to locate faulty processing elements in large-scale regular interconnected structures based on the concepts of system-level diagnosis is developed. This algorithm can either operate in a systolic manner or may be executed on a supervisory processor to locate the faulty processors. The computational complexity of the algorithm is linear when run on a supervisory processor and constant when run in parallel systolic manner. The implementation complexity and diagnosis capability of the algorithm are also analyzed without restricting the fault set size. The probability of correct diagnosis is shown to be very high even in the presence of large fault sets.
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