DocumentCode :
3148650
Title :
A low power testing architecture for test-per-clock BIST
Author :
Sun Haijun ; Wang Xuanming ; Lei Shaochong ; Shao Zhibiao
Author_Institution :
Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China
fYear :
2012
fDate :
9-11 Nov. 2012
Firstpage :
1
Lastpage :
5
Abstract :
A novel allocated-by-weight seed-based BIST (ASB) architecture has been proposed for combinational circuits to test. A test sequence of ASB is termed as seeded weighted Gray cyclic shift sequence (SW-GCSS), generated by Gray cyclic shift sequence (GCSS) and canonical seeds. GCSS, termed as the characteristic sequence is a single input change (SIC) sequence with transitions of its bits different from each other. Based on theoretical deduction of the properties of canonical seeds, a novel algebraic model and an optimized algorithm have been developed, based on which a seed circuit is provided. SW-GCSS whose vectors are unique should be assigned to CUT (Circuit Under Test) according to weights to improve test efficiency. A method used to calculate and adjust weights is also given. Experimental results on the ISCAS85 benchmark circuits show that ASB architecture can achieve a 59.3%~97.3% power reduction compared with LFSRs, while ensuring high fault coverage, less test patterns and low hardware overhead.
Keywords :
Gray codes; built-in self test; combinational circuits; logic testing; low-power electronics; ISCAS85 benchmark circuits; allocated-by-weight seed-based BIST architecture; canonical seeds; characteristic sequence; circuit under test; combinational circuits; hardware overhead; low power testing architecture; seed circuit; seeded weighted Gray cyclic shift sequence; single input change sequence; test patterns; test sequence; test-per-clock BIST; Built-in self-test; Circuit faults; Computer architecture; Power dissipation; Silicon carbide; Very large scale integration; Built-in Self-Test (BIST); Gray code; ingle Input Change (SIC) sequence; power; seed; weight;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2547-9
Type :
conf
DOI :
10.1109/IASP.2012.6425064
Filename :
6425064
Link To Document :
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