Title :
Adaptive Diagnosis in the Locally Twisted Cube
Author :
Yuejuan Han ; Jianxi Fan ; Lantao You ; Baolei Cheng ; Yan Wang
Author_Institution :
Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
Abstract :
Adaptive diagnosis in the locally twisted cube is studied in this paper. Let LTQn, denote the n-dimensional locally twisted cube. We prove that for any integer n ≥ 3, LTQn, can be adaptively diagnosed using at most 4 parallel testing rounds, with at most n faulty nodes, where each node participates in at most one test in each round. The proof and algorithm of adaptive diagnosis in LTQn, have been proposed in this paper.
Keywords :
multiprocessor interconnection networks; network theory (graphs); parallel processing; adaptive diagnosis; faulty nodes; n-dimensional locally twisted cube; parallel testing rounds; Color; Computer science; Computers; Hypercubes; Mathematics; Testing; adaptive diagnosis; interconnection networks; parallel computing; the locally twisted cube;
Conference_Titel :
Parallel Architectures, Algorithms and Programming (PAAP), 2012 Fifth International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-4566-8
DOI :
10.1109/PAAP.2012.24