Title
Testing methods for detecting stuck-open power switches in coarse-grain MTCMOS designs
Abstract
Coarse-grain multi-threshold CMOS (MTCMOS) is an effective power-gating technique to reduce IC's leakage power consumption by turning off idle devices with MTCMOS power switches. In this paper, we study the usage of coarse-grain MTCMOS power switches for both logic circuits and SRAMs, and then propose corresponding methods of testing stuck-open power switches for each of them. For logic circuits, a specialized ATPG framework is proposed to generate a longest possible robust test while creating as many effective transitions in the switch-centered region as possible. For SRAMs, a novel test algorithm is proposed to exercise the worst-case power consumption and performance when stuck-open power switches exist. The experimental results based on an industrial MTCMOS technology demonstrate the advantage of our proposed testing methods on detecting stuck-open power switches for both logic circuits and SRAMs, when compared to conventional testing methods.
Year
DOI
Venue
2010
10.1109/ICCAD.2010.5654118
ICCAD
Keywords
Field
DocType
switches,cmos integrated circuits,logic circuits,integrated circuit testing,power-gating technique,idle devices,industrial mtcmos technology,ic leakage power consumption,testing method,coarse-grain multithreshold cmos,proposed testing method,leakage power consumption,coarse-grain mtcmos design,coarse-grain mtcmos designs,integrated circuit design,conventional testing method,atpg framework,stuck-open power,effective power-gating technique,stuck-open power switches,mtcmos power,mtcmos power switches,worst-case power consumption,logic circuit,coarse-grain mtcmos power,monte carlo,scheduling,automatic test pattern generation,test methods,robustness
Automatic test pattern generation,Logic gate,Test algorithm,Scheduling (computing),Computer science,Electronic engineering,CMOS,Real-time computing,Robustness (computer science),Integrated circuit design,Power consumption
Conference
ISSN
ISBN
Citations 
1092-3152
978-1-4244-8193-4
2
PageRank 
References 
Authors
0.40
16
7
Name
Order
Citations
PageRank
Szu-Pang Mu1122.00
Yi-Ming Wang220.40
Hao-Yu Yang3274.88
Mango C.-T. Chao4487.38
Shi-Hao Chen5306.08
Chih-Mou Tseng681.35
Tsung-Ying Tsai7253.18