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International Journal of Ethics in Engineering & Management Education 
Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) 
A High Speed Wallace Tree Multiplier Using 
Modified Booth Algorithm for Fast Arithmetic 
Circuits 
24 
S Sapna 
Digital Communication and networking 
P A College of Engineering 
Mangalore, India 
sapna00765@gmail.com 
Vamshi U R 
Digital Communication and networking 
P A College of Engineering 
Mangalore, India 
vamshivalambra@gmail.com 
Abstract— Designing multipliers that are of high-speed, low 
power, and regular in layout are of substantial research interest. 
Speed of the multiplier can be increased by reducing the 
generated partial products. Many attempts have been made to 
reduce the number of partial products generated in a 
multiplication process; one of them is Wallace tree multiplier. 
Wallace Tree CSA structures have been used to sum the partial 
products in reduced time. In this paper Wallace tree construction 
is investigated and evaluated. Speed of traditional Wallace tree 
multiplier can be improved by using compressor techniques. In 
this paper Wallace tree is constructed by traditional method and 
with the help of compressor techniques such as 4:2 compressor, 
5:2 compressor, 6:2 compressor, 7:2 compressor. Therefore, 
minimizing the number of half adders used in a multiplier 
reduction will reduce the complexity. 
Index Terms—Component, formatting, style, styling, insert. 
(key words) 
I. INTRODUCTION 
A multitude of various multiplier architectures have 
been published in the literature, during the past few decades. 
The multiplier is one of the key hardware blocks in most of 
the digital and high performance systems such as digital signal 
processors and microprocessors. With the recent advances in 
technology, many researchers have worked on the design of 
increasingly more efficient multipliers. They aim at offering 
higher speed and lower power consumption even while 
occupying reduced silicon area. This makes them compatible 
for various complex and portable VLSI circuit 
implementations. However, the fact remains that the area and 
speed are two conflicting performance constraints. Hence, 
innovating increased speed always results in larger area. In 
this paper, we arrive at a better trade-off between the two, by 
realizing a marginally increased speed performance through a 
small rise in the number of transistors. The new architecture 
enhances the speed performance of the widely acknowledged 
Wallace tree multiplier. The structural optimization is 
performed on the conventional Wallace multiplier, in such a 
way that the latency of the total circuit reduces considerably. 
The Wallace tree basically multiplies two unsigned integers. 
The conventional Wallace tree multiplier architecture 
comprises of an AND array for computing the partial 
products, a carry save adder for adding the partial products so 
obtained and a carry propagate adder in the final stage booth 
algorithm, 3:2, and 4:2, 5:2. 
Fig 1 Proposed Architecture of Wallace tree multiplier using booth encoder 
II. IMPLEMENTATION OF WALLACE TREE 
MULTIPLIER 
A Wallace tree is an efficient hardware implementation of a 
digital circuit that multiplies two integers, devised by an 
Australian Computer Scientist Chris Wallace in 1964. 
Fig 2. Implementation of Wallace tree multiplier.
International Journal of Ethics in Engineering & Management Education 
Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) 
25 
The Wallace tree has three steps: 
Multiply (that is - AND) each bit of one of the arguments, 
by each bit of the other, yielding results. Depending on position 
of the multiplied bits, the wires carry different weights, for 
example wire of bit carrying result of is 32 (see explanation of 
weights below). 
Reduce the number of partial products to two by layers of 
full and half adders. 
Group the wires in two numbers, and add them with a 
conventional adder. The second phase works as follows. As 
long as there are three or more wires with the same weight add 
a following layer: 
· Take any three wires with the same weights and input 
them into a full adder. 
· The result will be an output wire of the same weight 
and an output wire with a higher weight for each three 
input wires. 
If there are two wires of the same weight left, input them 
into a half adder. If there is just one wire left, connect it to the 
next layer. 
The benefit of the Wallace tree is that there are only 
reduction layers, and each layer has propagation delay. 
As making the partial products is and the final addition is, 
the multiplication is only, not much slower than addition 
(however, much more expensive in the gate count). 
Naively adding partial products with regular adders would 
require time. From a complexity theoretic perspective, the 
Wallace tree algorithm puts multiplication in the class NC1. 
These computations only consider gate delays and don't 
deal with wire delays, which can also be very substantial. The 
Wallace tree can be also represented by a tree of 3/2 or 4/2 
adders. 
Example: 
N=4 , multiplying a3a2a1a0 by b3b2b1b0 
1. First we multiply every bit by every bit: 
weight 1 – a0b0 
weight 2 –a0b1 ,a1b0 
weight 4 – a0b2,a1b1 ,a2b0 
weight 8 –a0b3 ,a1b2,a2b1,a3b0 
weight 16 –a1b3,a2b2,a3b1 
weight 32 – a2b3,a3b2 
weight 64 – a3b3. 
2. Reduction layer 1: 
Pass the only weight-1 wire through, output: 1 weight-1 
wire 
Add a half adder for weight 2, outputs: 1 weight-2 wire, 1 
weight-4 wire 
Add a full adder for weight 4, outputs: 1 weight-4 wire, 1 
weight-8 wire 
Add a full adder for weight 8, and pass the remaining wire 
through, outputs: 2 weight-8 wires, 1 weight-16 wire 
Add a full adder for weight 16, outputs: 1 weight-16 wire, 1 
weight-32 wire 
Add a half adder for weight 32, outputs: 1 weight-32 wire, 
1 weight-64 wire 
Pass the only weight-64 wire through, output: 1 weight-64 
wire 
3. Wires at the output of reduction layer 1: 
weight 1 - 1 
weight 2 - 1 
weight 4 - 2 
weight 8 - 3 
weight 16 - 2 
weight 32 - 2 
weight 64 - 2 
4. Reduction layer 2: 
Add a full adder for weight 8, and half adders for weights 4, 
16, 32, 64 
5. Outputs: 
weight 1 - 1 
weight 2 - 1 
weight 4 - 1 
weight 8 - 2 
weight 16 - 2 
weight 32 - 2 
weight 64 - 2 
weight 128 - 1 
6. Group the wires into a pair integers and an adder to add 
them. 
III. WALLACE TREE MULTIPLIER 
A fast process for multiplication of two numbers was 
developed by Wallace. Using this method, a three step process 
is used to multiply two numbers; the bit products are formed, 
the bit product matrix is reduced to a two row matrix where 
sum of the row equals the sum of bit products, and the two 
resulting rows are summed with a fast adder to produce a final 
product. 
In the Wallace Tree method, three bit signals are 
passed to a one bit full adder (“3W”) which is called a three 
input Wallace Tree circuit, and the output signal (sum signal) 
is supplied to the next stage full adder of the same bit, and the 
carry output signal thereof is passed to the next stage full 
adder of the same no of bit, and the carry output signal thereof 
is supplied to the next stage of the full adder. 
Fig 3 Multipliers
International Journal of Ethics in Engineering & Management Education 
Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) 
26 
An 8-bit multiplier is constructed by using Wallace tree 
architecture .The architecture has been shown in Fig .Partial 
products are added in 6 steps. In the Wallace Tree method, the 
circuit layout is not easy although the speed of the operation is 
high since the circuit is quite irregular The delay generated in 
wallace tree multiplier can be further reduced by using 
modified tree structures called compressors. 
IV. COMPRESSOR 
Compressors are arithmetic components, similar in 
principle to parallel counters, but with two distinct 
differences: (1) they have explicit carry-in and carry-out 
bits; and (2) there may be some redundancy among the 
ranks of the sum and carry-output bits. 
4.1 [4:2] Compressor 
The 4:2 compressor has 4 input bits and produces 2 sum 
output bits (out0 and out1 ), it also has a carry-in (cin) and a 
carry-out (cout) bit (thus, the total number of input/output 
bits are 5 and 3); All input bits, including cin, have rank 0; 
the two output bits have ranks 0 and 1 respectively, while 
cout has rank 1 as well. Thus, the output of the 4:2 
compressor is a redundant number; for example, out1 = 0 
and cout = 1 is equivalent to out1 = 1 and cout = 0 in all 
cases. 
4.2 [5:2] Compressor 
The 5:2 compressor has 5 input bits and produces 2 sum 
output bits (sum and cout3), it also has a carry-in (cin1, 
cin2) and a carry-out (cout1, cout2,cout3) bit (thus, the total 
number of input/output bits are 7 and 4); All input bits, 
including cin1, have rank 0 and cin2 has rank 2 ; the two 
output bits have ranks 0 and 1 respectively, while cout2 has 
rank 1 and cout1 has rank 2. 
Fig 4. [5:2] compressor I/O diagram. 
4.3 [6:2] Compressor 
The 6:2 compressor has 6 input bits and produces 2 sum 
output bits (out0 and out1), it also has a carry-in (Cin0, 
Cin1) and a carry-out (Cout0, Cout1) bit (thus, the total 
number of input/output bits are 8 and 4); All input bits, 
including Cin0, have rank 0 and Cin1 has rank 1 ; the two 
output bits have ranks 0 and 1 respectively, while Cout0 has 
rank 1 and Cout1 has rank 2 as shown in Fig 4.2. 
Fig 5. [6:2] compressor I/O diagram. 
4.4 [7:2] Compressor 
The 7:2 compressor has 7 input bits and produces 2 sum 
output bits (out0 and out1), it also has a carry-in (Cin0, 
Cin1) and a carry-out (Cout0, Cout1) bit (thus, the total 
number of input/output bits are 9 and 4); All input bits, 
including Cin0, have rank 0 and Cin1 has rank 1 ; the two 
output bits have ranks 0 and 1 respectively, while Cout0 has 
rank 1 and Cout1 has rank 2 as shown in Fig 4.3. 
Fig 6. [7:2] Compressor. 
V. BOOTH ALGORITHM FOR PARTIAL PRODUCTS 
GENERATION 
To generate and reduce the number of partial products of 
multiplier, proposed modified Booth Algorithm has been 
used, In the proposed modified Booth Algorithm, multiplier 
has been divided in groups of 4 bits and each groups of 4 
bits have been operational according to modified Booth 
Algorithm for generation of partial products 0±1A, ±2A, 
±3A, ±4A, ±5A, ±6A, ±7A . These partial products are 
summed using compressors in structure of Wallace Tree .In 
radix-8 Booth Algorithm, multiplier operand B is 
Partitioned into 11 groups having each group of 4 bits .In 
first group, first bit is taken zero and other bits are least 
Significant three bit of multiplier operand. In second group, 
first bit is most significant bit of first group and other bits 
are next three bit of multiplier operand. In third group, first 
bit is most significant bit of second group and other bits are 
next three bits of multiplier operand. This process is carried 
on. For each group, Partial product is generated using 
multiplicand operand A. For n bit multiplier there is n/3 or 
[n/3 + 1] groups and partial products in proposed modified 
Booth Algorithm radix-8. Table I for Proposed radix-8 
modified Booth algorithm has been designed. 
VI. COMPRESSOR FOR PARTIAL PRODUCTS 
REDUCTION 
The latency in the Wallace tree multiplier can be reduced 
by decreasing the number of adders in the partial products 
reduction stage. In the proposed architecture, multi bit 
compressors are used for realizing the reduction in the 
number of partial product addition stages. The combined 
factors of low power, low transistor count and minimum 
delay makes the 5:2 , 4:2 and 3:2 compressors, the 
appropriate choice. In these compressors, the outputs. 
generated at each stage are efficiently used by replacing the
International Journal of Ethics in Engineering & Management Education 
Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) 
27 
XOR blocks with multiplexer blocks so that the critical path 
delay is minimized. The various adder structures in the 
conventional architecture are replaced by compressors. 
VII. COMPRESSOR ARCHITECTURE 
A 3-2 compressor takes 3 inputs x1, x2, x3 and generates 2 
outputs, the sum bit s, and the carry bit .The compressor is 
governed by the basic equation 
x + x + x = Sum + 2 * Carry 
The 3-2 compressor can also be employed as a full adder 
cell when the third input is considered as the Carry input 
from the previous compressor block or X3 = C . Existing 
architectures shown in Fig.2 (b) employ two XOR gates in 
the critical path. The fig shows governing the existing 3-2 
compressor outputs are shown below, 
Fig 7. Flow chart 
VIII. EXPERIMENTAL & RESULT 
The above Wallace tree multiplier with booth recoding 
logic has been implemented by coding in verilog HDL and 
synthesis is performed by verilog. The performance is 
compared with booth multiplier of radix-8 and with normal 
wall ace multiplier. By using the proposed multiplier of 32-bit 
length we achieved the delay which booth recoding logic and 
also by compressor circuits. The following table 2 shows the 
comparisons of different channel is less than using normal 
Wallace tree multiplier. This is achieved by combined use of 
multipliers based on timing analysis. 
IX. CONCLUSION 
The proposed 32x32 bit Booth encoded ± Wallace tree 
multiplier has been designed .and the comparison of 
proposed multiplier with existing Wallace tree multiplier, 
multiplier designed using Vedic mathematics, booth 
multiplier, default multiplier present in Xilinx fpga vertex-6 
low power has been shown in table II. Wallace tree using 
5:2, 4:2 and 3:2 compressors, radix-8 modified Booth 
Algorithm improve the speed of the proposed multiplier 
because radix-8 reduces no. of partial products, and 5:2, 4:2 
and 3:2 compressor reduces no. of levels in Wallace 
structure. It provides less delay 9.536 ns as compared to 
existing Wallace tree multiplier. The results prove that the 
proposed architecture is more efficient than the existing one 
in terms of delay. This approach may be well suited for 
multiplication of numbers with more than 16 bit size for 
high speed applications. The power of the proposed 
multiplier can be explored to implement high performance 
multiplier in VLSI applications. Wallace tree multiplier 
using booth algorithm is very a good technique for high 
speed applications, its implementation with different logics
International Journal of Ethics in Engineering & Management Education 
Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) 
28 
in VLSI. Further the work can be extended for optimization 
of said multiplier to improve the power. 
REFERENCES 
[1]. Vinoth, C.; Bhaaskaran, V.S.K.; Brindha, B.; Sakthikumaran, 
S.;Kavinilavu, V.; Bhaskar, B.; Kanagasabapathy, M.; and Sharath, 
B.;"A novel low power and high speed Wallace tree multiplier for 
RISC processor," 3rd International Conference on Electronics 
Computer Technology (ICECT), 2011, vol.1, pp.330-334, 8-10 April 
2011. 
[2]. Sreehari Veeramachaneni; Kirthi M Krishna; Lingamneni 
Avinash;Sreekanth Reddy Puppala and M.B. Srinivas; "Novel 
Architectures for International Conference on VLSI Design, 2007, 
pp.324-329, Jan.2007. 
[3]. Prasad, K. and Parhi, K.K.; "Low-power 4-2 and 5-2 compressors," 
Conference Record of the Thirty-Fifth Asilomar Conference on 
Signals, Systems and Computers, 2001, vol.1, no.,pp.129-133 vol.1, 4-7 
Nov. 2001. 
[4]. Chen Ping-hua and Zhao Juan; "High-speed Parallel 32×32-b Multiplier 
Using a Radix-16 Booth algorithm . Encoder," Third International 
Symposium on Intelligent Information Technology Application 
Workshops, 2009. IITAW '09, pp.406-409, 21-22 Nov. 2009. 
[5]. Weinan Ma and Shuguo Li; "A new high compression compressor for 
large multiplier," Solid-State and Integrated-Circuit. Technology,2008. 
ICSICT 2008. 9th International Conference on , vol., no., pp.1877-1880, 
20-23 Oct. 2008. 
[6]. Shen-Fu Hsiao; Ming-Roun Jiang; Jia-Sien Yeh; , "Design of high 
speed low-power 3-2 counter and 4-2 compressor for fast multipliers," 
Electronics Letters , vol.34, no.4, pp.341-343, 19 Feb 1998.

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A High Speed Wallace Tree Multiplier Using Modified Booth Algorithm for Fast Arithmetic Circuits

  • 1. International Journal of Ethics in Engineering & Management Education Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) A High Speed Wallace Tree Multiplier Using Modified Booth Algorithm for Fast Arithmetic Circuits 24 S Sapna Digital Communication and networking P A College of Engineering Mangalore, India sapna00765@gmail.com Vamshi U R Digital Communication and networking P A College of Engineering Mangalore, India vamshivalambra@gmail.com Abstract— Designing multipliers that are of high-speed, low power, and regular in layout are of substantial research interest. Speed of the multiplier can be increased by reducing the generated partial products. Many attempts have been made to reduce the number of partial products generated in a multiplication process; one of them is Wallace tree multiplier. Wallace Tree CSA structures have been used to sum the partial products in reduced time. In this paper Wallace tree construction is investigated and evaluated. Speed of traditional Wallace tree multiplier can be improved by using compressor techniques. In this paper Wallace tree is constructed by traditional method and with the help of compressor techniques such as 4:2 compressor, 5:2 compressor, 6:2 compressor, 7:2 compressor. Therefore, minimizing the number of half adders used in a multiplier reduction will reduce the complexity. Index Terms—Component, formatting, style, styling, insert. (key words) I. INTRODUCTION A multitude of various multiplier architectures have been published in the literature, during the past few decades. The multiplier is one of the key hardware blocks in most of the digital and high performance systems such as digital signal processors and microprocessors. With the recent advances in technology, many researchers have worked on the design of increasingly more efficient multipliers. They aim at offering higher speed and lower power consumption even while occupying reduced silicon area. This makes them compatible for various complex and portable VLSI circuit implementations. However, the fact remains that the area and speed are two conflicting performance constraints. Hence, innovating increased speed always results in larger area. In this paper, we arrive at a better trade-off between the two, by realizing a marginally increased speed performance through a small rise in the number of transistors. The new architecture enhances the speed performance of the widely acknowledged Wallace tree multiplier. The structural optimization is performed on the conventional Wallace multiplier, in such a way that the latency of the total circuit reduces considerably. The Wallace tree basically multiplies two unsigned integers. The conventional Wallace tree multiplier architecture comprises of an AND array for computing the partial products, a carry save adder for adding the partial products so obtained and a carry propagate adder in the final stage booth algorithm, 3:2, and 4:2, 5:2. Fig 1 Proposed Architecture of Wallace tree multiplier using booth encoder II. IMPLEMENTATION OF WALLACE TREE MULTIPLIER A Wallace tree is an efficient hardware implementation of a digital circuit that multiplies two integers, devised by an Australian Computer Scientist Chris Wallace in 1964. Fig 2. Implementation of Wallace tree multiplier.
  • 2. International Journal of Ethics in Engineering & Management Education Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) 25 The Wallace tree has three steps: Multiply (that is - AND) each bit of one of the arguments, by each bit of the other, yielding results. Depending on position of the multiplied bits, the wires carry different weights, for example wire of bit carrying result of is 32 (see explanation of weights below). Reduce the number of partial products to two by layers of full and half adders. Group the wires in two numbers, and add them with a conventional adder. The second phase works as follows. As long as there are three or more wires with the same weight add a following layer: · Take any three wires with the same weights and input them into a full adder. · The result will be an output wire of the same weight and an output wire with a higher weight for each three input wires. If there are two wires of the same weight left, input them into a half adder. If there is just one wire left, connect it to the next layer. The benefit of the Wallace tree is that there are only reduction layers, and each layer has propagation delay. As making the partial products is and the final addition is, the multiplication is only, not much slower than addition (however, much more expensive in the gate count). Naively adding partial products with regular adders would require time. From a complexity theoretic perspective, the Wallace tree algorithm puts multiplication in the class NC1. These computations only consider gate delays and don't deal with wire delays, which can also be very substantial. The Wallace tree can be also represented by a tree of 3/2 or 4/2 adders. Example: N=4 , multiplying a3a2a1a0 by b3b2b1b0 1. First we multiply every bit by every bit: weight 1 – a0b0 weight 2 –a0b1 ,a1b0 weight 4 – a0b2,a1b1 ,a2b0 weight 8 –a0b3 ,a1b2,a2b1,a3b0 weight 16 –a1b3,a2b2,a3b1 weight 32 – a2b3,a3b2 weight 64 – a3b3. 2. Reduction layer 1: Pass the only weight-1 wire through, output: 1 weight-1 wire Add a half adder for weight 2, outputs: 1 weight-2 wire, 1 weight-4 wire Add a full adder for weight 4, outputs: 1 weight-4 wire, 1 weight-8 wire Add a full adder for weight 8, and pass the remaining wire through, outputs: 2 weight-8 wires, 1 weight-16 wire Add a full adder for weight 16, outputs: 1 weight-16 wire, 1 weight-32 wire Add a half adder for weight 32, outputs: 1 weight-32 wire, 1 weight-64 wire Pass the only weight-64 wire through, output: 1 weight-64 wire 3. Wires at the output of reduction layer 1: weight 1 - 1 weight 2 - 1 weight 4 - 2 weight 8 - 3 weight 16 - 2 weight 32 - 2 weight 64 - 2 4. Reduction layer 2: Add a full adder for weight 8, and half adders for weights 4, 16, 32, 64 5. Outputs: weight 1 - 1 weight 2 - 1 weight 4 - 1 weight 8 - 2 weight 16 - 2 weight 32 - 2 weight 64 - 2 weight 128 - 1 6. Group the wires into a pair integers and an adder to add them. III. WALLACE TREE MULTIPLIER A fast process for multiplication of two numbers was developed by Wallace. Using this method, a three step process is used to multiply two numbers; the bit products are formed, the bit product matrix is reduced to a two row matrix where sum of the row equals the sum of bit products, and the two resulting rows are summed with a fast adder to produce a final product. In the Wallace Tree method, three bit signals are passed to a one bit full adder (“3W”) which is called a three input Wallace Tree circuit, and the output signal (sum signal) is supplied to the next stage full adder of the same bit, and the carry output signal thereof is passed to the next stage full adder of the same no of bit, and the carry output signal thereof is supplied to the next stage of the full adder. Fig 3 Multipliers
  • 3. International Journal of Ethics in Engineering & Management Education Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) 26 An 8-bit multiplier is constructed by using Wallace tree architecture .The architecture has been shown in Fig .Partial products are added in 6 steps. In the Wallace Tree method, the circuit layout is not easy although the speed of the operation is high since the circuit is quite irregular The delay generated in wallace tree multiplier can be further reduced by using modified tree structures called compressors. IV. COMPRESSOR Compressors are arithmetic components, similar in principle to parallel counters, but with two distinct differences: (1) they have explicit carry-in and carry-out bits; and (2) there may be some redundancy among the ranks of the sum and carry-output bits. 4.1 [4:2] Compressor The 4:2 compressor has 4 input bits and produces 2 sum output bits (out0 and out1 ), it also has a carry-in (cin) and a carry-out (cout) bit (thus, the total number of input/output bits are 5 and 3); All input bits, including cin, have rank 0; the two output bits have ranks 0 and 1 respectively, while cout has rank 1 as well. Thus, the output of the 4:2 compressor is a redundant number; for example, out1 = 0 and cout = 1 is equivalent to out1 = 1 and cout = 0 in all cases. 4.2 [5:2] Compressor The 5:2 compressor has 5 input bits and produces 2 sum output bits (sum and cout3), it also has a carry-in (cin1, cin2) and a carry-out (cout1, cout2,cout3) bit (thus, the total number of input/output bits are 7 and 4); All input bits, including cin1, have rank 0 and cin2 has rank 2 ; the two output bits have ranks 0 and 1 respectively, while cout2 has rank 1 and cout1 has rank 2. Fig 4. [5:2] compressor I/O diagram. 4.3 [6:2] Compressor The 6:2 compressor has 6 input bits and produces 2 sum output bits (out0 and out1), it also has a carry-in (Cin0, Cin1) and a carry-out (Cout0, Cout1) bit (thus, the total number of input/output bits are 8 and 4); All input bits, including Cin0, have rank 0 and Cin1 has rank 1 ; the two output bits have ranks 0 and 1 respectively, while Cout0 has rank 1 and Cout1 has rank 2 as shown in Fig 4.2. Fig 5. [6:2] compressor I/O diagram. 4.4 [7:2] Compressor The 7:2 compressor has 7 input bits and produces 2 sum output bits (out0 and out1), it also has a carry-in (Cin0, Cin1) and a carry-out (Cout0, Cout1) bit (thus, the total number of input/output bits are 9 and 4); All input bits, including Cin0, have rank 0 and Cin1 has rank 1 ; the two output bits have ranks 0 and 1 respectively, while Cout0 has rank 1 and Cout1 has rank 2 as shown in Fig 4.3. Fig 6. [7:2] Compressor. V. BOOTH ALGORITHM FOR PARTIAL PRODUCTS GENERATION To generate and reduce the number of partial products of multiplier, proposed modified Booth Algorithm has been used, In the proposed modified Booth Algorithm, multiplier has been divided in groups of 4 bits and each groups of 4 bits have been operational according to modified Booth Algorithm for generation of partial products 0±1A, ±2A, ±3A, ±4A, ±5A, ±6A, ±7A . These partial products are summed using compressors in structure of Wallace Tree .In radix-8 Booth Algorithm, multiplier operand B is Partitioned into 11 groups having each group of 4 bits .In first group, first bit is taken zero and other bits are least Significant three bit of multiplier operand. In second group, first bit is most significant bit of first group and other bits are next three bit of multiplier operand. In third group, first bit is most significant bit of second group and other bits are next three bits of multiplier operand. This process is carried on. For each group, Partial product is generated using multiplicand operand A. For n bit multiplier there is n/3 or [n/3 + 1] groups and partial products in proposed modified Booth Algorithm radix-8. Table I for Proposed radix-8 modified Booth algorithm has been designed. VI. COMPRESSOR FOR PARTIAL PRODUCTS REDUCTION The latency in the Wallace tree multiplier can be reduced by decreasing the number of adders in the partial products reduction stage. In the proposed architecture, multi bit compressors are used for realizing the reduction in the number of partial product addition stages. The combined factors of low power, low transistor count and minimum delay makes the 5:2 , 4:2 and 3:2 compressors, the appropriate choice. In these compressors, the outputs. generated at each stage are efficiently used by replacing the
  • 4. International Journal of Ethics in Engineering & Management Education Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) 27 XOR blocks with multiplexer blocks so that the critical path delay is minimized. The various adder structures in the conventional architecture are replaced by compressors. VII. COMPRESSOR ARCHITECTURE A 3-2 compressor takes 3 inputs x1, x2, x3 and generates 2 outputs, the sum bit s, and the carry bit .The compressor is governed by the basic equation x + x + x = Sum + 2 * Carry The 3-2 compressor can also be employed as a full adder cell when the third input is considered as the Carry input from the previous compressor block or X3 = C . Existing architectures shown in Fig.2 (b) employ two XOR gates in the critical path. The fig shows governing the existing 3-2 compressor outputs are shown below, Fig 7. Flow chart VIII. EXPERIMENTAL & RESULT The above Wallace tree multiplier with booth recoding logic has been implemented by coding in verilog HDL and synthesis is performed by verilog. The performance is compared with booth multiplier of radix-8 and with normal wall ace multiplier. By using the proposed multiplier of 32-bit length we achieved the delay which booth recoding logic and also by compressor circuits. The following table 2 shows the comparisons of different channel is less than using normal Wallace tree multiplier. This is achieved by combined use of multipliers based on timing analysis. IX. CONCLUSION The proposed 32x32 bit Booth encoded ± Wallace tree multiplier has been designed .and the comparison of proposed multiplier with existing Wallace tree multiplier, multiplier designed using Vedic mathematics, booth multiplier, default multiplier present in Xilinx fpga vertex-6 low power has been shown in table II. Wallace tree using 5:2, 4:2 and 3:2 compressors, radix-8 modified Booth Algorithm improve the speed of the proposed multiplier because radix-8 reduces no. of partial products, and 5:2, 4:2 and 3:2 compressor reduces no. of levels in Wallace structure. It provides less delay 9.536 ns as compared to existing Wallace tree multiplier. The results prove that the proposed architecture is more efficient than the existing one in terms of delay. This approach may be well suited for multiplication of numbers with more than 16 bit size for high speed applications. The power of the proposed multiplier can be explored to implement high performance multiplier in VLSI applications. Wallace tree multiplier using booth algorithm is very a good technique for high speed applications, its implementation with different logics
  • 5. International Journal of Ethics in Engineering & Management Education Website: www.ijeee.in (ISSN: 2348-4748, Volume 1, Issue 10, October 2014) 28 in VLSI. Further the work can be extended for optimization of said multiplier to improve the power. REFERENCES [1]. Vinoth, C.; Bhaaskaran, V.S.K.; Brindha, B.; Sakthikumaran, S.;Kavinilavu, V.; Bhaskar, B.; Kanagasabapathy, M.; and Sharath, B.;"A novel low power and high speed Wallace tree multiplier for RISC processor," 3rd International Conference on Electronics Computer Technology (ICECT), 2011, vol.1, pp.330-334, 8-10 April 2011. [2]. Sreehari Veeramachaneni; Kirthi M Krishna; Lingamneni Avinash;Sreekanth Reddy Puppala and M.B. Srinivas; "Novel Architectures for International Conference on VLSI Design, 2007, pp.324-329, Jan.2007. [3]. Prasad, K. and Parhi, K.K.; "Low-power 4-2 and 5-2 compressors," Conference Record of the Thirty-Fifth Asilomar Conference on Signals, Systems and Computers, 2001, vol.1, no.,pp.129-133 vol.1, 4-7 Nov. 2001. [4]. Chen Ping-hua and Zhao Juan; "High-speed Parallel 32×32-b Multiplier Using a Radix-16 Booth algorithm . Encoder," Third International Symposium on Intelligent Information Technology Application Workshops, 2009. IITAW '09, pp.406-409, 21-22 Nov. 2009. [5]. Weinan Ma and Shuguo Li; "A new high compression compressor for large multiplier," Solid-State and Integrated-Circuit. Technology,2008. ICSICT 2008. 9th International Conference on , vol., no., pp.1877-1880, 20-23 Oct. 2008. [6]. Shen-Fu Hsiao; Ming-Roun Jiang; Jia-Sien Yeh; , "Design of high speed low-power 3-2 counter and 4-2 compressor for fast multipliers," Electronics Letters , vol.34, no.4, pp.341-343, 19 Feb 1998.