Title :
A probabilistic collocation method based statistical gate delay model considering process variations and multiple input switching
Author :
Kumar, S. Yuva ; Li, Jun ; Talarico, Claudio ; Wang, Janet
Author_Institution :
Arizona Univ., Tucson, AZ, USA
Abstract :
Since the advent of new nanotechnologies, the variability of gate delay due to process variations has become a major concern. This paper proposes a new gate delay model that includes impact from both process variations and multiple input switching. The proposed model uses an orthogonal polynomial based probabilistic collocation method to construct a delay analytical equation from circuit timing performance. From the experimental results, our approach has less that 0.2% error on the mean delay of gates and less than 3% error on the standard deviation.
Keywords :
circuit simulation; delays; nanoelectronics; polynomial matrices; timing; circuit timing performance; multiple input switching; nanotechnologies; orthogonal polynomial; probabilistic collocation method; process variations; statistical gate delay model; Automatic testing; Delay; Design automation; Europe;
Conference_Titel :
Design, Automation and Test in Europe, 2005. Proceedings
Print_ISBN :
0-7695-2288-2
DOI :
10.1109/DATE.2005.31