Vedic Mathematics for Binary Applications

by Abhijeet Kumar

Conventional 24x24 multiply architectures are implemented in floating point multipliers using array multipliers, redundant binary architectures( Pipeline Stages), modified booth encoding, a binary tree of 4:2 Compressors (Wallace tree) and modified carry save array in conjunction with Booth's algorithm. There are number of problems associated with tree and array multipliers. Tree multipliers have many problems like shortest logic delay but irregular layouts with complicated interconnects, irregular layouts not only demand more physical design effort, but also introduce significant interconnect delay. Similarly, array multipliers has also some drawbacks associated with them such as they have larger delay and offer regular layout with simpler interconnects. Also significant amount of power consumption as reconfigurability at run time is not provided according to the input bit width. In order to remove the above problems, Urdhvatriyakbhyam algorithm of ancient Indian Vedic Mathematics is utilized. Simulation of 32-bit Floating Point Multiplier and application of Vedic Mathematics is an important part of this dissertation.

52 pages, Paperback

Published October 11, 2018

About the author

An Engineer and Manager, Abhijeet, holds a post-graduate degree from the Indian Institute of Forest Management. With great love and concern for the environment, he keeps himself engaged mostly in nature and wildlife. His weekends are typically spent on stages doing acting in theatre plays or sitting in the audience, admiring his screenplay for the same.

When his pen isn’t breathing life into blank papers, he can be either found backpacking in the Himalayas with his loyal comrade camera or dribbling the ball on the basketball court.

Abhijeet hails from the city of Jamshedpur; however, a big chunk of his life is spent in Bangalore and Bhopal.

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Email: author.abhijeet@gmail.com

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