Design Of Multiple Attractor Gf (2p) Cellular Automata For Diagnosis Of Vlsi Circuits

Authors:
Biplab K. Sikdar;Purnabha Majumder;P. Pal Chaudhuri;Niloy Ganguly
Affiliations:
-;-;-;-
Venue:
VLSID '01 Proceedings of the The 14th International Conference on VLSI Design (VLSID '01)
Year:
2001

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Abstract

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.