Sequential. diagnosis of processor array systems
We examine the diagnosis of processor array systems formed as two-dimensional arrays, with boundaries, and either four or eight neighbors for each interior processor. We employ a parallel test schedule. Neighboring processors test each other, and report the results. Our diagnostic objective is to find a fault-free processor or set of processors. The system may then be sequentially diagnosed by repairing those processors tested faulty according to the identified fault-free set, or a job may be run on the identified fault-free processors. We establish an upper bound on the maximum number of faults which can be sustained without invalidating the test results under worst case conditions. We give test schedules and diagnostic algorithms which meet the upper hound as far as the highest order term. We compare these near optimal diagnostic algorithms to alternative algorithms, both new and already in the literature, and against an upper bound ideal case algorithm, which is not necessarily practically realizable. For eight-way array systems with N processors, an ideal algorithm has diagnosability 3N(2/3) - 2N(1/2) plus lower-order terms. No algorithm exists which can exceed this. We give an algorithm which starts with tests on diagonally connected processors, and which achieves approximately this diagnosability. So the given algorithm is optimal to within the two most significant terms of the maximum diagnosability. Similarly, for four-way array systems with N processors, no algorithm can have diagnosability exceeding M-2/3 /2(1/3) - 2N(1/2) plus lower-order terms. And we give an algorithm which begins with tests arranged in a zigzag pattern, one consisting of pairing nodes for tests in two different directions in two consecutive test stages; this algorithm achieves diagnosability (3/2)(5/2)(1/3) N-2/3 - (5/4)N-1/2 plus lower-order terms, which is about 0.85 of the upper bound due to an ideal, algorithm.
repair homogeneous system pmc model regular array sequential diagnosis