@inproceedings{3f605a45783f44b98515135ec9e90685,
title = "Efficient Multiplier design using CNTFET",
abstract = "Binary multiplier has been playing a vital role in digital signal processing, Arithmetic logic Unit (ALU), Embedded systems and Machine Learning. The multiplier has been designed using CMOS for a long time. Carbon Nanotube Field-Effect Transistors (CNTFETs), by virtue of their remarkable electrical capabilities, offer a promising solution for the electronics of the future. Their importance is further highlighted by their ability to counteract short-channel effects in conventional CMOS technology, which are linked to greater carrier mobility and improved electrostatic control. In this work, a two-bit multiplier is constructed utilizing a variety of CMOS technologies. The carbon nanotube field effect transistor (CNTFET) is utilized to get around the CMOS multipliers' power and delay constraints. Using the Cadence Virtuoso tool, a comparison of several CMOS multipliers that are now in use and those that have been proposed is conducted. Predictive Technology Models (PTM) are utilized for CMOS, while Stanford CNFET Model - Verilog-A is used for CNTFET analysis.",
keywords = "cadence virtuoso, CMOS technology, CNTFET, low power design, two-bit binary multiplier",
author = "Shreyanshu Jaiswal and Patole, \{Shashikant P.\} and Laxmi Kumre and Shivam Verma and Ana Kumar and Rohit Shrivastava",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd IEEE International Conference on Innovations in High-Speed Communication and Signal Processing, IHCSP 2024 ; Conference date: 06-12-2024 Through 08-12-2024",
year = "2024",
doi = "10.1109/IHCSP63227.2024.10959801",
language = "British English",
series = "2nd IEEE International Conference on Innovations in High-Speed Communication and Signal Processing, IHCSP 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Laxmi Kumre and Vijayshri Chaurasia",
booktitle = "2nd IEEE International Conference on Innovations in High-Speed Communication and Signal Processing, IHCSP 2024",
address = "United States",
}