DocumentCode :
2532255
Title :
Energy efficient high speed CNFET based interconnect drivers for FPGAS
Author :
Kadir, Kureshi Abdul ; Hasan, Mohd
Author_Institution :
Dept. of Electron. Eng., Aligarh Muslim Univ., Aligarh, India
fYear :
2009
fDate :
14-16 March 2009
Firstpage :
48
Lastpage :
51
Abstract :
Carbon nanotube field effect transistors (CNFETs) are already competitive in some respects with state-of-art silicon transistors, and are promising candidates for future nano-electronic devices. The ability of CNFET for using high K-dielectric provides high insulator capacitance which improves the gate control and also lowers gate leakage. This paper proposes new energy efficient CNFETs based drivers operating in the ballistic mode, for the routing interconnects of FPGAs. HSPICE simulation based on BPTM (Berkeley predictive technology model) for 32 nm channel length device at operating frequency of 500 MHz shows that the scaled CNFETs drivers provides very good performance even at lower supply voltage for interconnect length of 1000 um. The paper shows that the different schemes of CNFETs based optimized-drivers operating at VDD=0.3 v are more energy efficient than the driver operating on VDD=0.9 v.
Keywords :
carbon nanotubes; elemental semiconductors; field effect transistors; field programmable gate arrays; integrated circuit interconnections; silicon; BPTM; Berkeley predictive technology model; CNFET; Carbon nanotube field effect transistors; FPGA; HSPICE; frequency 500 MHz; insulator capacitance; interconnect drivers; nano-electronic devices; size 1000 mum; size 32 nm; voltage 0.3 V; voltage 0.9 V; CNTFETs; Capacitance; Driver circuits; Energy efficiency; Field programmable gate arrays; Gate leakage; Insulation; Nanoscale devices; Predictive models; Silicon; CNFET; Drivers; FPGA Interconnects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International
Conference_Location :
Aligarh
Print_ISBN :
978-1-4244-3602-6
Electronic_ISBN :
978-1-4244-3604-0
Type :
conf
DOI :
10.1109/MSPCT.2009.5164171
Filename :
5164171
Link To Document :
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