Title
Effective Launch-to-Capture Power Reduction for LOS Scheme with Adjacent-Probability-Based X-Filling
Abstract
It has become necessary to reduce power during LSI testing. Particularly, during at-speed testing, excessive power consumed during the Launch-To-Capture (LTC) cycle causes serious issues that may lead to the overkill of defect-free logic ICs. Many successful test generation approaches to reduce IR-drop and/or power supply noise during LTC for the launch-off capture (LOC) scheme have previously been proposed, and several of X-filling techniques have proven especially effective. With X-filling in the launch-off shift (LOS) scheme, however, adjacent-fill (which was originally proposed for shift-in power reduction) is used frequently. In this work, we propose a novel X-filling technique for the LOS scheme, called Adjacent-Probability-based X-Filling (AP-fill), which can reduce more LTC power than adjacent-fill. We incorporate AP-fill into a post-ATPG test modification flow consisting of test relaxation and X-filling in order to avoid the fault coverage loss and the test vector count inflation. Experimental results for larger ITC'99 circuits show that the proposed AP-fill technique can achieve a higher power reduction ratio than 0-fill, 1-fill, and adjacent-fill.
Year
DOI
Venue
2011
10.1109/ATS.2011.35
Asian Test Symposium
Keywords
Field
DocType
adjacent-probability-based x-filling,los scheme,successful test generation approach,post-atpg test modification flow,effective launch-to-capture power reduction,test vector count inflation,excessive power,test relaxation,higher power reduction ratio,shift-in power reduction,power supply noise,ltc power,x-filling technique,integrated circuit,probability,testing,logic gate,vectors,fault coverage,logic gates
Test vector,Logic gate,Power network design,Fault coverage,Computer science,Electronic engineering,Real-time computing,Electronic circuit,Test power
Conference
ISSN
Citations 
PageRank 
1081-7735
1
0.36
References 
Authors
12
11
Name
Order
Citations
PageRank
K. Miyase11166.12
Y. Uchinodan210.36
K. Enokimoto3100.92
Y. Yamato4392.42
X. Wen510.36
S. Kajihara643834.85
F. Wu710.36
L. Dilillo8449.49
A. Bosio911315.51
P. Girard1047841.91
A. Virazel1116923.25