A Novel Perspective on Multiplication: Vedic vs. Array Techniques

DOI

10.2991/978-94-6463-762-5_14How to use a DOI?

Keywords

Array Multiplier; Vedic multiplier; Urdhva Tiryakbhyam; Nikhilam Sutra

Abstract

This project aims to compare the performance and implementation complexity of the Array Multiplier and Vedic multiplier, two key algorithms in digital multiplication. Hardware models for both multipliers will be developed using Verilog. The designs will be simulated to verify functionality and tested with a variety of input sizes and values. Performance metrics such as speed, area, and power consumption will be measured and compared to determine the strengths and weaknesses of each multiplier. The Array Multiplier is typically simpler and straightforward but may require more hardware resources. The Vedic multiplier, based on ancient Indian mathematics, is known for its efficiency and speed, often requiring fewer computational steps and less hardware. The project facilitate experiential learning on the trade-offs between the Array and Vedic multipliers, aiding in the understanding of their practical considerations for digital system design. By analysing the performance characteristics of both multipliers under various conditions, the project aims to highlight the potential applications and limitations of each approach. Comparison results will be valuable for engineers and designers in selecting the appropriate multiplication algorithm for specific digital system requirements. Additionally, the project will explore the scalability of both multipliers for larger input sizes, providing a comprehensive understanding of their performance in real-world scenarios.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ajaay Madhav Rao
AU  - Akshata Murlidhara Bailoor
AU  - Dhanush Devadas Shasthri
AU  - Charan S. Rao
AU  - Nagaraja Rao
PY  - 2025
DA  - 2025/06/16
TI  - A Novel Perspective on Multiplication: Vedic vs. Array Techniques
BT  - Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)
PB  - Atlantis Press
SP  - 149
EP  - 158
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-762-5_14
DO  - 10.2991/978-94-6463-762-5_14
ID  - Rao2025
ER  -