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Design and FPGA Implementation of Matrix Multiplier Using DEMUX-RCA-Based Vedic Multiplier

  • Balivada Yashwant Kumar
  • , Saurabh Kharwar
  • , Sangeeta Singh
  • , Mustafa K.A. Mohammed
  • , Mohammed Dauwed
  • National Institute of Technolgy Patna
  • University of Warith Alanbiyaa
  • Dijlah University College
  • University of Baghdad

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Matrix multiplication is a common technique for increasing the computational speed of scientific and engineering tasks. The matrix multiplier is designed in this paper utilizing an optimized Vedic multiplier. Vedic mathematics, which is a collection of sutras for doing mathematical arithmetic simply and more speedily, is utilized to speed up multiplication. These sutras aid in the reduction of several processors performance metrics, such as power and delay. As a result, the current multiplier approaches are replaced with Urdhva Tiriyagbhyam, a Vedic Math multiplication methodology. We used 1:8 demultiplexer-based Full Adders (DFAs) to create the Vedic Multiplier to circumvent the power constraint. As a result, the overall power of matrix multiplication was improved across various bits. The Optimized Matrix multiplier is designed in Verilog HDL, and the Nexys DDR4 of the Artix-7 series is utilized as the target device for synthesis.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems - ICETIS 2022
EditorsMohammed A. Al-Sharafi, Mostafa Al-Emran, Khaled Shaalan, Mohammed Naji Al-Kabi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages216-224
Number of pages9
ISBN (Print)9783031204289
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2nd International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2022 - Virtual, Online
Duration: 2 Sep 20223 Sep 2022

Publication series

NameLecture Notes in Networks and Systems
Volume573 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference2nd International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2022
CityVirtual, Online
Period2/09/223/09/22

Keywords

  • Demultiplexer
  • Full adders
  • Matrix multiplier
  • Urdhva Tiryagbhyam Sutra
  • Vedic multiplier

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