A linear time pessimistic one-step diagnosis algorithm for hypercube multicomputer systems

  • Authors:
  • Tao Dong

  • Affiliations:
  • College of Computer Science, Chongqing University, Chongqing, PR China

  • Venue:
  • Parallel Computing
  • Year:
  • 2005

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Abstract

This paper presents a system-level diagnosis algorithm for hypercube multicomputer systems based on the PMC model. The algorithm can isolate all faulty processors to a set with at most one fault-free processor. The breadth-first search (BFS) is applied in the new algorithm. Let N denote the total number of processors in a hypercube system. With the help of properties of hypercube tree defined in this paper and a new tree-decomposition technique, the algorithm runs in O(N) time if log2N ≥ 10; whereas the best-known diagnosis algorithm runs in O(Nlog2N) time if log2N ≥ 19.