DocumentCode
1664239
Title
An automatic test pattern generation framework for combinational threshold logic networks
Author
Gupta, Pallav ; Zhang, Rui ; Jha, Niraj K.
Author_Institution
Dept. of Electr. Eng., Princeton Univ., NJ, USA
fYear
2004
Firstpage
540
Lastpage
543
Abstract
We propose an automatic test pattern generation (ATPG) framework for combinational threshold networks. The motivation behind this work lies in the fact that many emerging nanotechnologies, such as resonant tunneling diodes (RTDs) and quantum cellular automata (QCA), implement threshold logic. Consequently, there is a need to develop an ATPG methodology for this type of logic. We have built the first automatic test pattern generator and fault simulator for threshold logic, which has been integrated on top of an existing computer-aided design (CAD) tool. These exploit new fault collapsing techniques we have developed for threshold networks. We perform fault modeling to show that many cuts and shorts in RTD-based threshold gates are equivalent to stuck-at faults at the inputs and output of the gate. Experimental results with the MCNC benchmarks indicate that test vectors were found for all testable stuck-at faults in their threshold network implementations.
Keywords
automatic test pattern generation; combinational circuits; fault simulation; logic gates; logic testing; nanotechnology; threshold logic; ATPG; MCNC benchmarks; RTD based threshold gates; automatic test pattern generation; automatic test pattern generator; combinational threshold logic networks; fault simulator; nanotechnology; quantum cellular automata; resonant tunneling diodes; stuck-at fault model; Automatic logic units; Automatic test pattern generation; Computational modeling; Computer simulation; Design automation; Diodes; Logic testing; Quantum cellular automata; Resonant tunneling devices; Test pattern generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Design: VLSI in Computers and Processors, 2004. ICCD 2004. Proceedings. IEEE International Conference on
ISSN
1063-6404
Print_ISBN
0-7695-2231-9
Type
conf
DOI
10.1109/ICCD.2004.1347974
Filename
1347974
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