Implementation of a 16-bit Multiplier Leveraging the Kogge-Stone Adder With Memristor IMPLY Logic

This paper implementation of adder and multiplier using memristor-based IMPLY logic is discussed. The digital circuits such as, Carry Select Adder, Carry Conditioned Adder and Kogge-Stone Adder implemented using memristor-based IMPLY logic. Further, a 16-bit multiplier developed using a Kogge-Stone adder with memristor-based IMPLY logic. Finally Xilinx Vivado software is used to implement the work and verify the simulation results. The results demonstrate that memristor-based designs offer significant advantages in terms of area and power efficiency. Further, the integration of memristor-based IMPLY logic with the Kogge-Stone adder in the 16-bit multiplier design leads to notable reductions in area and power consumption.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icdscnc62492.2024.10939928
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Implementation of a 16-bit Multiplier Leveraging the Kogge-Stone Adder With Memristor IMPLY Logic

S Rohith, P Dinesha, Suraj Malagar
Advanced Memory and Neural Computing
article

Implementation of a 16-bit Multiplier Leveraging the Kogge-Stone Adder With Memristor IMPLY Logic

S Rohith, P Dinesha, Suraj Malagar
article en

Abstract

This paper implementation of adder and multiplier using memristor-based IMPLY logic is discussed. The digital circuits such as, Carry Select Adder, Carry Conditioned Adder and Kogge-Stone Adder implemented using memristor-based IMPLY logic. Further, a 16-bit multiplier developed using a Kogge-Stone adder with memristor-based IMPLY logic. Finally Xilinx Vivado software is used to implement the work and verify the simulation results. The results demonstrate that memristor-based designs offer significant advantages in terms of area and power efficiency. Further, the integration of memristor-based IMPLY logic with the Kogge-Stone adder in the 16-bit multiplier design leads to notable reductions in area and power consumption.

Acharya Nagarjuna University (IN), Dr. Hari Singh Gour University (IN)
Affordable and clean energy
Openalex Percentile: Top 73%
Advanced Memory and Neural Computing
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