Revolutionizing Multiplication: Implementing Vedic Sutra Principles in Multiplier Design

Ancient Indian Mathematics, known as Vedic Mathematics, draws from 16 principles found in ancient Indian scriptures (Vedas). Among these principles, Urdhva Tiryakbhyam, Ekanyunena Purvena, and Ekadhikena Purvena stand out for their relevance in modern computation. In recent decades, there has been significant interest in developing fast multiplier circuits, with Vedic multipliers gaining favor due to their efficiency in terms of speed, space utilization, and power consumption. This study examines the performance of these sutras, particularly in the context of $\mathbf{1 6}$-bit operations, using Verilog programming language for implementation and Vivado 2017.1 for synthesis and testing. Through simulations and analysis, the aim is to identify optimal outcomes in terms of area, speed, and power efficiency, contributing to advancements in digital signal systems and processor design.

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Published
2024-11-21
DOI
https://doi.org/10.1109/icraset63057.2024.10895575
Primary Topic
VLSI and FPGA Design Techniques
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article
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article

Revolutionizing Multiplication: Implementing Vedic Sutra Principles in Multiplier Design

Kiran Puttegowda, D S Sunil Kumar, Saritha Shetty, G R Yathiraj et al.
VLSI and FPGA Design Techniques
article

Revolutionizing Multiplication: Implementing Vedic Sutra Principles in Multiplier Design

Kiran Puttegowda, D S Sunil Kumar, Saritha Shetty, G R Yathiraj, K Prabhavathi, P Chandra Shekar
article en

Abstract

Ancient Indian Mathematics, known as Vedic Mathematics, draws from 16 principles found in ancient Indian scriptures (Vedas). Among these principles, Urdhva Tiryakbhyam, Ekanyunena Purvena, and Ekadhikena Purvena stand out for their relevance in modern computation. In recent decades, there has been significant interest in developing fast multiplier circuits, with Vedic multipliers gaining favor due to their efficiency in terms of speed, space utilization, and power consumption. This study examines the performance of these sutras, particularly in the context of $\mathbf{1 6}$-bit operations, using Verilog programming language for implementation and Vivado 2017.1 for synthesis and testing. Through simulations and analysis, the aim is to identify optimal outcomes in terms of area, speed, and power efficiency, contributing to advancements in digital signal systems and processor design.

Nitte University (IN)
Openalex Percentile: Top 74%
VLSI and FPGA Design Techniques
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Revolutionizing Multiplication: Implementing Vedic Sutra Principles in Multiplier Design — Kiran Puttegowda, D S Sunil Kumar, et al. · (2024) | TGRS Research Map | TGRS