DocumentCode
596815
Title
Statistical leakage analysis using the deterministic modeling of cell leakage current
Author
Jae Hoon Kim ; Young Hwan Kim
Author_Institution
Electr. Eng. Dept., POSTECH, Pohang, South Korea
fYear
2012
fDate
9-12 Dec. 2012
Firstpage
837
Lastpage
840
Abstract
This paper presents a new approach to estimate the n-sigma chip leakage current in the chip leakage probability density function of statistical leakage analysis (SLA) through gate-level deterministic leakage analysis (DLA). Although SLA provides accurate result than corner-based analysis, it is an impractical solution in recent technology comprising millions logic cells in a system since its computational complexity is O(N2). The proposed method uses DLA, and this makes it not only efficient but also suitable for use in the existing design environments. In addition, by providing the upper and lower bounds of SLA results, n-sigma chip leakage, the proposed method avoids the pessimism of existing DLA methods.
Keywords
computational complexity; integrated circuit modelling; leakage currents; logic design; statistical analysis; cell leakage current; chip leakage probability density function; computational complexity; corner-based analysis; design environments; deterministic modeling; gate-level deterministic leakage analysis; logic cells; n-sigma chip leakage current; statistical leakage analysis; Computational modeling; Correlation; Estimation; Leakage current; Logic gates; Probability density function; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems (ICECS), 2012 19th IEEE International Conference on
Conference_Location
Seville
Print_ISBN
978-1-4673-1261-5
Electronic_ISBN
978-1-4673-1259-2
Type
conf
DOI
10.1109/ICECS.2012.6463529
Filename
6463529
Link To Document