Design of 8 Bit Vedic Multiplier Using Urdhva Tiryagbhyam Sutra With Modified Carry Save Adder

M. Chandrashekara, S. Rohith
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引用次数: 14

Abstract

This paper mainly describes the design of 8-bit Vedic multiplier and its performance comparison with existing multiplier such as i) Booth multiplier ii) Array multiplier iii) Wallace tree multiplier. Vedic calculations are the olden scheme of mathematics, which has a procedure of mathematical calculations to compute the multiplication of two 8-bit number. In this work Urdhva Tiryagbhyam (vertical and crosswise) Vedic sutra is used for multiplier design which provides better performance and consumes lesser time for computation. The Urdhva Tiryagbhyam is the finest sutra and universal one among additional sutras and which represents the different multiplication process compared to normal multiplication. In this work, Modified Carry Save Adder (MCSA) is used to compute the sum of partially generated products. It reduces the computational delay towards the addition of unfinished products. The proposed design uses the Verilog HDL to develop the algorithm. The XILINX 14.7 software tool is used to simulate and synthesize the code. The proposed design is also verified on Spartan-6 Field Programmable Gate Array (FPAGA). Finally, the proposed 8-bit multiplier design is compared with 8-bit Booth multiplier, Array multiplier and Wallace tree multiplier in terms of Area, Memory and Delay. The result shows proposed 8-bit Vedic multiplier is efficient and consumes 14.219ns time for the multiplication process which is better compared to 8-bit, Booth multiplier, Array multiplier and Wallace tree multiplier.
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基于Urdhva Tiryagbhyam经的8位吠陀乘法器设计与改进进位保存加法器
本文主要介绍了8位Vedic乘法器的设计及其与现有乘法器(i) Booth乘法器ii) Array乘法器iii) Wallace tree乘法器的性能比较。吠陀计算是古老的数学方案,它有一个数学计算程序来计算两个8位数字的乘法。在这项工作中,Urdhva Tiryagbhyam(垂直和横向)吠陀经被用于乘数设计,提供更好的性能和消耗更少的计算时间。《乌达法》是最优秀的经典,也是其他经典中最普遍的经典,它代表了与正常增殖相比不同的增殖过程。在这项工作中,使用改进进位保存加法器(MCSA)来计算部分生成乘积的和。它减少了对未完成产品添加的计算延迟。本设计采用Verilog HDL语言开发算法。采用XILINX 14.7软件工具对代码进行仿真和合成。该设计还在Spartan-6现场可编程门阵列(FPAGA)上进行了验证。最后,将所提出的8位乘法器设计与8位Booth乘法器、Array乘法器和Wallace树乘法器在面积、内存和延迟方面进行了比较。结果表明,所提出的8位Vedic乘法器是高效的,其乘法处理时间为14.219ns,优于8位、Booth乘法器、Array乘法器和Wallace树乘法器。
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