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International Journal of Engineering &Technology, 7 (3.12) (2018) 759 -763
International Journal of Engineering & Technology
Website: www.sciencepubco.com/index.php/IJET
Research paper
Design and Analysis of 8-bit Vedic Multiplier in 90nm
Technology using GDI Technique
Sandesh Sharma
1
, Vangmayee Sharda
2
Amity University, Uttar Pradesh, India.
*Corresponding Author Email:
1
sandeshsharma01@gmail.com,
2
vsharma3@amity.edu
Abstract
Vedic mathematics is an old mathematics which is more effective than other mathematic procedures. Vedic maths is utilized as a part of
numerous applications, for example, hypothesis of numbers, compound duplications, squaring, cubing, square root and solid shape root
and so on. Absolutely there are 16 sutras and 14 sub-sutras in Vedic maths. Among those sutras, just 3 sutras and 2 sub-sutras are utilized
for augmentation. Multiplier is a very important part of a microprocessor as multiplication is performed continuously in all calculative
procedures. This paper is in importance of a 8-bit multiplier designed in 90 nm technology. Urdhva-Tiryakbyham is the sutra that is used
for multiplication in Vedic mathematics. Actualizing the different scientific operations utilizing Vedic Mathematics causes us
accomplish better speed, bring down unpredictability and higher execution.[2] The technique used is Gate Diffusion Input (GDI) which
is a more refined way to design a circuit which less complex than circuits designed by other techniques.
Index Terms: Vedic Multiplier, Urdhva-Tiryakbyham, Gate Diffusion Input, 90 nm technology.
1. Introduction
In this fast pacing world of advancing science and technology,
when we talk about vedic multipliers, a lot of research has been
done and as a matter of fact already been going on. This is because
of the importance of results that researchers have gotten but there
is always a scope. In this paper 8-bit vedic multiplier is designed
using GDI technique in 90 nm technology. The most vital
requirement of any processor would be Speed, Area and power
which are also the three pillars of VLSI. The design Proposed in
this paper would give us a circuit which will have high speed,
reduction in delay and it would consume less power. The circuit
made will be performing in an improved manner because of the
usage of vedic mathematics and gate diffusion input.
When we talk about processors like FFT, DSP convolution, IDFT
and many others, multiplier is considered as the the foundation
stone. In Laymen language a multiplier is something that would
give us multiple outputs when lesser inputs are provided or in
other words, a number by which the other number is multiplied.
For every processor to have higher speed, a high speed multiplier
is suggested. The higher the speed of the multiplier would be , the
more efficient will the processor worked out to be. Research has
shown that whenever we switch to vedic multiplier, all these
concerns can be satisfied.
The most popular sutras of vedic mathematics are Urdhva-
Tiryakbhyam and Nikhilam sutra (names derived from Sanskrit)
but when it comes for the multiplication or in this case use of a
multipier, the most appropriate sutra to be used will be the UT
(Urdhva-Tiryakbhyam) sutra. Hence in this paper only this sutra is
used and discussed. [1]
In a vedic multiplier using GDI, vedic multiplication comprises of
AND gates, half adders and full adders. Vedic multiplication
requires less processing time for the execution that‟s why it has
been used here as it is a sturdy way of multiplication. It makes the
use of less number of transistors in comparison to C-MOS.
Realizing these functions using CMOS requires 6-12 transistors.
But the same functions are very easy to implement using GDI
method and require only two transistors per function.
2. Technologies Used
Gate Diffusion Input (GDI)
GDI can be described as a method of less-power circuit
integration. With this method we can reduce power consumption,
propagation delay, and area with a less complex circuit. If we
compare the traditional CMOS design and the GDI circuit, we can
easily see the difference in terms of power consumption. The
layout area, number of devices, delay, and power dissipation are
the factors that are directly affected as we use gate diffusion input
logics.[6] Technology adaptability, better design, and
precomputing amalgamation are some of the issues that have
come into light, presenting the pros and cons of GDI to other
techniques. The paper shows a upgraded low-power design
technique that solves the major problems mentioned in the
introduction. The GDI method permits the execution of bulks of
complicated logic functions by the use of only two transistors.
The basic GDI cell can be seen and the basic functions of a GDI
cell can be understood.[6]