DocumentCode :
3016320
Title :
Ones Counting Based Error-Rate Estimation for Multiple Output Circuits
Author :
Pan, Zhaoliang ; Breuer, Melvin A.
Author_Institution :
Dept. of Electr. Eng. - Syst., Univ. of Southern California, Los Angeles, CA
fYear :
2008
fDate :
29-30 Sept. 2008
Firstpage :
59
Lastpage :
62
Abstract :
As feature size reduces to nanoscale, it becomes increasingly more expensive and difficult to reach a desired level of yield. Error-tolerance, which advocates the use of defective chips in systems as long as acceptable performance is obtained, has been proposed as a new way to enhance effective yield. As distinct from classical test, test for error-tolerance focuses on quantifying the error-metrics for acceptability of defective chips. Error-rate is one such metric. To estimate error-rate, a signature analysis based method and a ones counting based method have been previously proposed. Unfortunately, the ones counting based error-rate estimation method previously reported must be applied to each output of a multioutput circuit one line at a time. In this paper, we present a method for applying this ones counting technique to a multioutput circuit, i.e., to a pattern rather than a bit. We divide this problem into four parts and present the solution to three or them; the fourth is still an open problem.
Keywords :
built-in self test; combinational circuits; error analysis; integrated circuit yield; logic testing; built-in self-test architecture; defective combinational digital circuit; effective yield; error tolerance; error-rate estimation; multiple output circuits; nanoscale feature size; ones counting based method; signature analysis; signature analysis based method; Built-in self-test; Circuit testing; Circuits and systems; Conferences; Estimation error; Logic testing; Registers; System testing; Test pattern generators; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Test of Nano Devices, Circuits and Systems, 2008 IEEE International Workshop on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-0-7695-3379-7
Type :
conf
DOI :
10.1109/NDCS.2008.18
Filename :
4638335
Link To Document :
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