# Design and Implementation of Radix 4 Based Multiplication on FPGA

DOI : 10.17577/IJERTV5IS090557

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#### Design and Implementation of Radix 4 Based Multiplication on FPGA

Supriya S. Saste1

Dept. of Electronics & Telecommunication Trinity College of Engineering & Research Pune, India.

Prof. Anil G. Sawant2

Dept. of Electronics & Telecommunication Trinity College of Engineering & Research

Pune, India.

Abstract With the recent rapid increase in scale of integration, many sophisticated signal processing as well as video processing systems are being implemented on VLSI chip in which multiplication is dominant operation. The performance of these systems is based on computation capacity and power consumption. This paper presents novel approach of multiplication scheme based on Radix 4 and its implementation on FPGA which results in great computational capacity and reduced power consumption. This system has been designed and simulated using Xilinx 13.4 for 8×8 bit numbers.

Key WordsBooths Algorithm, Radix 4, VLSI, Xilinx 13.4.

1. INTRODUCTION

Multiplication is one of the most important arithmetic operations which is used in high performance systems such as microprocessors, digital signal processors and multimedia applications [1][2][5]. Previously multiplication was done by repetitive sequence of other two basic arithmetic operations viz., addition, subtraction along with shift operations. Hence, multiplication is repetitive addition of numbers. The multiplicand is a number which is to be added and number of times it is added is called as multiplier. The repetitive addition method to employ multiplication is comparatively slow.

Multiplication is mainly performed in three different stages: In first stage partial products are generated. The next stage i.e. stage two deals with reduction of partial products and finally in stage three all the partial products are summed together to get the final result of multiplication operation. The fundamental principle of multiplication is generation of partial products and accumulation of partial products [2]. Multiplication can be performed both on signed as well as unsigned numbers [3]. However signed multiplication is careful operation. Signed numbers cannot be multiplied in same manner as that of the unsigned numbers. Here the Booths algorithm comes in.

The motivation of Booths multiplication scheme is to increase the speed of multiplication process. As compared to conventional methods Booths multiplication helps to reduce the number of iteration steps and results in faster computation. In this paper we present 8 bit multiplication by using modified Booths (Radix 4) algorithm and its implementation on hardware platform.

2. BOOTHS RECODING (RADIX 2) ALGORITHM The Booths algorithm was invented by Andrew D.

Booth which employs multiplication of both signed and

unsigned numbers. This algorithm has been used to generate the partial products which firstly encode the multiplier bits. Radix-2 and Radix-4 are two algorithms which generate reduced and efficient partial products for multiplication [3]. The basic technique stated by Booth is explained further.

The technique invented by Booth allows for smaller and faster multiplication of binary integers in 2s complement representation. In order to do multiplication by Booths recoding algorithm, we have to recode the multiplier first. Each bit of the recoded multiplier can take any value from: 0, 1 and -1. In order to do this, 2 bits of multiplier are compared at a time by overlapping technique. Thus, in Radix-2 grouping of multiplier bits starts from LSB for which the first block uses only single bit of multiplier and another bit is assumed zero [4]. The recoded multiplier for Radix-2 is obtained by performing following steps:

1. Add a zero to the LSB side of given multiplier.

2. By using overlapping technique, group two bits of multiplier and recode the number using following table:

 Xn Xn+1 Recoded Bits Operations Performed 0 0 0 0 0 1 +1 1*Multiplicand 1 0 -1 -1*Multiplicand 1 1 0 0

Consider following example in which multiplicand and multiplier have 4 bits.

Multiplicand 1100

Multiplier 1010

So, according to the table shown above the recoding bits will be obtained as partial product:

PP0=00000 PP1=00100 PP2=11100 PP3=00100

Finally, all the partial products are added to get final product result.

1. With the invariability of add/subtract operations, the algorithm became inconvenient while designing parallel multipliers.

2. If there is a string of isolated 1s, the algorithm becomes inefficient [10].

The drawbacks enlisted in Booths algorithm are overcome by using Modified Booths Algorithm (Radix-4).

3. MODIFIED BOOTHS (RADIX 4) ALGORITHM The number of bits multiplier/multiplicand is composed of,

gives exact number of partial products generated in multiplication operation. So, to perform the addition of partial product is main bottleneck in multiplication operation and considered as the important factor to speed up multiplication. In Booths recoding (Radix-2) algorithm, if 2 n bit numbers are multiplied then n partial products will be generated. The desired high speed can be achieved if the partial products are reduced. Modified Booths (Radix 4) Algorithm uses the technique of partial product reduction to speed up multiplication operation. So, if 2 even n bit numbers are multiplied, the number of partial products generated is n/2 and if n is odd, number of partial products are n+1/2.Thus, in Radix 4 the number of partial products is reduced to half. To have high speed multipliers, Modified Booths Algorithm is an ultimate solution. This algorithm scans strings of three bits at a time.

The numbers of steps involved in Radix 4 multiplication algorithm are shown below:

In Modified Booths (Radix 4) Algorithm, the multiplicand is recoded based on bits of multiplier which can take any value from + 1, + 2 or 0. Three bits of multiplier are compared at a time, by using overlapping technique. Similar to Radix 2, we have to group bits of multiplier starting from LSB for which first block only uses two bits, considering third bit as zero. Following steps are to be performed in order to generate recoded multiplier of Radix-4:

1. In order to ensure that n is even, extend the sign bit 1 position (if necessary).

2. Add a 0 to right of the LSB of multiplier.

3. Based on the value of each recoded bit, each partial product will be 0, +M, -M, +2M or -2M.

For Radix 4 bit pairing is done as shown below: 0 1 1 1 0 0 1 1 0

Following table depicts the functional operation of Radix 4 Booth encoder:

0

 Xn Xn+1 Xn- 1 Recoded Bits Operations Performed 0 0 0 0 0 0 0 1 +1 +M 0 1 +1 +M 0 1 1 +2 +2M 1 0 0 -2 -2M 1 0 1 -1 -1M 1 1 0 -1 -1M 1 1 1 0 0

In above table M is nothing but multiplicand

Consider multiplicand and multiplier is composed of 4 bits respectively.

Multiplicand 1100

Multiplier 1010

So, according to Radix 4 recoding rules, partial products obtained are:

PP0= 1000

PP1= 0100

From above example, it can be concluded that if there is 4 bit number, obtained partial products are 2 i.e. for n bit number we get n/2 partial products. Since, the number of partial products are reduced, speed of multiplication process increases. Final product of multiplication is obtained by adding partial products.

4. RESULTS AND DISCUSSION

Fig.2 RTL schematic of Radix-4 Booth Multiplier

Fig.3 Internal RTL Schematic

Fig.4 Simulation result of Radix-4 multiplication for unsigned number

Fig.5 Simulation result of Radix-4 multiplication for signed number

TABLE III. DEVICE UTILIZATION OF RADIX-4 BOOTH MULTIPLIER

 Logic Utilization Used Available Utilization Number of 4 input LUTs 169 7,168 2% Number of occupied slices 86 3,584 2% Number of slices containing only related logic 86 86 100% Number of bonded IOBs 33 141 23%

The multiplication based on Radix-4 Booth algorithm has been simulated on ISim simulator of Xilinx 13.4 software and implemented on FPGA platform for which above results are obtained. Table III gives device utilization information of Radix-4 Booth multiplication.

5. CONCLUSION

When taken into consideration the examples of Radix-2 and Radix-4 multiplication, it can be concluded that, Radix-4 Booth multiplication halves the number of partial products and helps to increase the speed of multiplication operation. This algorithm can be extended to Radix-8 for which complexity is somewhat high, but the generated partial products will reduce to n/3.

ACKNOWLEDGMENT

I am sincerely thankful to my project guide Prof. Anil G. Sawant who has always been guiding and motivating throughout the project time. I could not have achieved desired objective without his support. It has been a great pleasure for me to work under his guidance.

I am also proud to thank Prof. V. S. Hendre, Head of our Department, for approving our project work with great interest.

This project could never have been completed without referring works of many other people whose details are mentioned in references section. I thank everyone and acknowledge my indebtedness to all these people.

REFERENCES

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