Title: Synthesis and evaluation of structure of CAM memory by QCA computing technique

Authors: Nirupma Pathak; Neeraj Kumar Misra; Santosh Kumar

Addresses: Department of Computer Science and Engineering, Maharishi University of Information Technology, Lucknow, India ' School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT) – AP University, Amaravati, Andhra Pradesh, India ' Department of Computer Engineering and Information Technology, Swarrnim Startup and Innovation University, Gandhinagar, Gujarat, India

Abstract: The lithographically based CMOS technology revolutions of the past few years are long behind us, but the technology used in today's microelectronics faces significant challenges in terms of speed, area, and power consumption. In the domain of QCA, the aim of this article is to design a novel CAM memory. This article deals with the compact structure of the novel CAM memory, which is based on GDI-CMOS and QCA technology, respectively. Compared with the recently reported designs in the literature, it is observed that the area, latency, majority gate, and cell count of the proposed CAM are decreased by more than 78.57%, 50%, 40%, and 67%, respectively. In addition to this, the clock delay of the CAM cell design is less than the other results that have been reported. This cutting-edge QCA-based CAM structure is not only one of a kind but also very cost-effective in today's nano-devices. This CAM design that has been proposed improves performance while also making the use of modern device development simpler and more cost-effective.

Keywords: CAM memory; quantum-dot cellular automata; QCA; GDI-CMOS; nano-electronics; computing.

DOI: 10.1504/IJCSE.2023.135291

International Journal of Computational Science and Engineering, 2023 Vol.26 No.6, pp.627 - 640

Received: 20 Jan 2022
Received in revised form: 05 Sep 2022
Accepted: 29 Sep 2022
Published online: 04 Dec 2023 *

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