Title
A high speed low power modulo 2n+1 multiplier design using carbon-nanotube technology
Abstract
Modulo 2n+1 multiplier is one of the critical components in the area of digital signal processing, residue arithmetic, and data encryption that demand high-speed and low-power operation. In this paper, a new circuit implementation of a high-speed low-power modulo 2n+1 multiplier is proposed. It has three major stages: partial product generation stage, partial product reduction stage, and the final adder stage. The proposed structure introduces a new MUX-based compressor in the partial product reduction stage to reduce power and increase speed, and in the final adder stage, the Sparse-tree-based inverted end-around-carry adder reduces the number of critical path circuit blocks, also avoids wire interconnection problem. The proposed multiplier is implemented using both 32nm CNTFET (Carbon-Nanotube FET) and bulk CMOS technology for performance comparison. The CNTFET-based design dramatically decreases the PDP (Power Delay Product) of the circuit. The simulation results demonstrate that the power consumption of CNTFET-based multiplier is at average 5.72 times less than its CMOS counterpart, while the PDP of CNTFET is 94 times less than the CMOS one.
Year
DOI
Venue
2012
10.1109/MWSCAS.2012.6292043
Circuits and Systems
Keywords
DocType
ISSN
CMOS integrated circuits,adders,carbon nanotube field effect transistors,logic design,low-power electronics,multiplying circuits,CNTFET-based design,MUX-based compressor,adder stage,bulk CMOS technology,carbon-nanotube FET,carbon-nanotube technology,circuit implementation,data encryption,digital signal processing,modulo 2n+1 multiplier design,partial product generation stage,partial product reduction stage,performance comparison,power delay product,power reduction,residue arithmetic,size 32 nm,sparse-tree-based inverted end-around-carry adder
Conference
1548-3746 E-ISBN : 978-1-4673-2525-7
ISBN
Citations 
PageRank 
978-1-4673-2525-7
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Qi He1258.46
Yong-bin Kim233855.72
Minsu Choi315627.63