DocumentCode :
3040826
Title :
Intel LVS logic as a combinational logic paradigm in CNT technology
Author :
Liu, Bao ; Cao, Zhen ; Tao, Jun ; Zeng, Xuan ; Tang, Pushan ; Wong, Philip H -S
Author_Institution :
ECE Dept., Univ. of Texas, San Antonio, TX, USA
fYear :
2010
fDate :
17-18 June 2010
Firstpage :
77
Lastpage :
81
Abstract :
In this paper, we systematically evaluate combinational logic families for CNT technology implementation for a variety of logic families, signal transition times, and transistor parameters. We compare CMOS static logic, transmission gate logic, and Intel LVS logic in CNT and silicon technologies by SPICE simulation based on Predictive Technology Model and Stanford compact CNFET models. We observe that CMOS static logic in CNT technology achieves limited (e.g., 3.44×) performance improvement and (e.g., 3.83×) power consumption reduction, while transmission gate logic and Intel LVS logic achieves more significant performance improvement and orders-of-magnitude of power consumption reduction. Intel LVS logic achieves an average of 4.02× performance improvement and 1137.64× power consumption reduction compared with CMOS static logic in silicon for the same combinational logic functions and input signals, and enhanced reliability, making it an ideal combinational logic circuit paradigm in CNT technology.
Keywords :
CMOS logic circuits; SPICE; carbon nanotubes; field effect transistors; logic circuits; CMOS static logic; CNFET models; CNT technology; Intel LVS logic; SPICE simulation; combinational logic circuit paradigm; predictive technology model; transmission gate logic; CMOS logic circuits; CMOS technology; Combinational circuits; Energy consumption; Logic gates; Power system modeling; Predictive models; SPICE; Semiconductor device modeling; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nanoscale Architectures (NANOARCH), 2010 IEEE/ACM International Symposium on
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-4244-8020-3
Type :
conf
DOI :
10.1109/NANOARCH.2010.5510922
Filename :
5510922
Link To Document :
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