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The 14th International Conference on VLSI Design (VLSID '01)
Design Of Multiple Attractor Gf (2p) Cellular Automata For Diagnosis Of Vlsi Circuits
Bangalore, India
January 03-January 07
ISBN: 0-7695-0831-6
Biplab K. Sikdar, Bengal Engineering College (D.U)
Purnabha Majumder, Bengal Engineering College (D.U)
P. Pal Chaudhuri, Bengal Engineering College (D.U)
Niloy Ganguly, IISWBM
This paper introduces an efficient diagnosis scheme for VLSI circuits. A special class of non-group CA referred to as Multiple Attractor Cellular Automata (MACA) is introduced to diagnose the faulty block of a Circuit Under Test (CUT). The scheme employs significantly lesser memory than the existing methods reported so far. Experimental results establish the efficiency of the scheme in terms of saving in memory space & execution time and enhanced diagnostic resolution. Rather than GF(2) CA where each CA cell handles GF(2) elements (0 and 1), the GF(2 p ) CA is employed to reduce the processing time.
Index Terms:
Cellular Automata, MACA, Multi Class Classifier, Galois Extension Field, Fault Diagnosis.
Citation:
Biplab K. Sikdar, Purnabha Majumder, P. Pal Chaudhuri, Niloy Ganguly, "Design Of Multiple Attractor Gf (2p) Cellular Automata For Diagnosis Of Vlsi Circuits," vlsid, pp.454, The 14th International Conference on VLSI Design (VLSID '01), 2001
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