Ancient Vedic Multiplication Based Optimized High Speed Arithmetic Logic

Author:

Mrs. Leena Rathi

Abstract

Here, we deal with most effective Vedic multiplication method dependent 4*4 bit arithmetic logic unit having high speed. In this paper, we will perform ALU operations. ALU is a development of research work that has been done for years so we have chosen this topic. Normally ALU is a heart of digital processor, central processing unit, microprocessor and micro controller. Every digital domain based technology has to depend on the performance of ALU. Hence, there is a necessity of ALU which generates high speeds which depends on the speed of multiplier. Therefore, we go for designing a 4-bit multiplier. To generate high speeds, multiplier is employed which is one of the important blocks of the hardware unit and also an important initiation of delay in the path. We have studied many algorithms for multiplication technique but research says that Vedic multiplication is most effective of all in terms of speed. The algorithm contains 16 sutra, out of which we are employing URDHVA TIRYAKBHYAM and the code is written in Very High Speed Integrated Circuit Hardware Description. Our supporting synthesizing and simulating tools are Xilinx ISE9.2i and model sim-altra6.3g-pi (Quartus II) respectively. At last, we will compare 4-bit ALU with 4-bit Array ALU.     

Publisher

Auricle Technologies, Pvt., Ltd.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Investigating the Security Trade-Offs of 5G Deployment using Block-chain based Encryption Model;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06

2. Utilization of Computational Intelligence in the Development of a Health Monitoring System for Induction Machines;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25

3. Design of High Performance ALU Using Vedic Mathematics;Journal of Physics: Conference Series;2021-07-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3