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Test compression for scan circuits using scan polarity adjustment and pinpoint test relaxation
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Source Asia and South Pacific Design Automation Conference archive
Proceedings of the 2005 Asia and South Pacific Design Automation Conference table of contents
Shanghai, China
SESSION: Test and DFT (1) table of contents
Pages: 59 - 64  
Year of Publication: 2005
ISBN:0-7803-8737-6
Authors
Yasumi Doi  Kyushu Institute of Technology, Iizuka-shi, Fukuoka, Japan
Seiji Kajihara  Kyushu Institute of Technology, Iizuka-shi, Fukuoka, Japan
Xiaoqing Wen  Kyushu Institute of Technology, Iizuka-shi, Fukuoka, Japan
Lei Li  Duke University, Durham, NC
Krishnendu Chakrabarty  Duke University, Durham, NC
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
: Shanghai IC Industry Association
: IEEE SSCS Shanghai Chapter
: IEEE CAS
: IEEE Beijing Section
: Fudan University
: Chinese Institute of Electronics
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a test compression method that effectively derives the capability of a run-length based encoding. The method employs two techniques: scan polarity adjustment and pinpoint test relaxation. Given a test set for a full-scan circuit, scan polarity adjustment selectively flips the values of some scan cells in test patterns. It can be realized by changing connections between two scan cells so that the inverted output of a scan cell, Q, is connected to the next scan cell. Pinpoint test relaxation flips some specified 1s in the test patterns to 0s without any fault coverage loss. Both techniques are applied by referring to a gain-penalty table to determine scan cells or bits to be flipped. Experimental results on ISCAS'89 benchmark circuits show that the proposed method could reduce test data volume by 36%. Switching activities, i.e. test power during scan testing, were also reduced.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Yasumi Doi: colleagues
Seiji Kajihara: colleagues
Xiaoqing Wen: colleagues
Lei Li: colleagues
Krishnendu Chakrabarty: colleagues