scholarly journals Design of Efficient Complementary Pass Transistor based Modified Booth Encoder Array Multiplier

2013 ◽  
Vol 64 (5) ◽  
pp. 25-31
Author(s):  
Sajan P.Philip ◽  
S. P. Prakash ◽  
S. Valarmathi
2010 ◽  
Vol 121-122 ◽  
pp. 843-848
Author(s):  
Hong Li ◽  
Li Fang Ye ◽  
Jian Ping Hu

Power-efficient multipliers are essential for low-power signal processing hardware and embedded digital system since they have high switching activity and contain large node capacitances, resulting in large power dissipation. This paper presents an adiabatic Booth array multiplier based on PAL-2N circuits. It is composed of Booth encoders, a multiplier array containing partial product generators and 1-bit (half and full) adders, and a final carry-lookahead adder. Full-custom layouts are drawn. The energy and functional simulations have been performed using the net-list extracted from their layouts. The simulation results show that the adiabatic Booth array multiplier attains large energy savings, compared with its counterpart without the booth encoder.


2011 ◽  
Vol 460-461 ◽  
pp. 473-478
Author(s):  
Jian Ping Hu ◽  
Xiao Ying Yu ◽  
Bin Bin Liu

Power-efficient multipliers are essential for micro systems, where low-power signal processing hardware is demanded. This paper presents an adiabatic array multiplier based on PAL-2N (pass-transistor adiabatic logic with NMOS pull-down configuration) circuits. It is composed of a multiplier array containing partial product generators and 1-bit (half and full) adders, and a final carry-lookahead adder. For comparison, a conventional array multiplier is also implemented. Full-custom layouts are drawn, and HSPICE simulations are carried out using the net-list extracted from their layout. The adiabatic and conventional array multipliers have been embedded in a test chip, which have been fabricated with Chartered 0.35um process and tested to verify its function.


2019 ◽  
Vol 7 (1) ◽  
pp. 24
Author(s):  
N. SURESH ◽  
K. S. SHAJI ◽  
KISHORE REDDY M. CHAITANYA ◽  
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2016 ◽  
Vol 26 (03) ◽  
pp. 1730003 ◽  
Author(s):  
S. Balamurugan ◽  
P. S. Mallick

This paper provides a comprehensive review of various error compensation techniques for fixed-width multiplier design along with its applications. In this paper, we have studied different error compensation circuits and their complexities in the fixed-width multipliers. Further, we present the experimental results of error metrics, including normalized maximum absolute error [Formula: see text], normalized mean error [Formula: see text] and normalized mean-square error [Formula: see text] to evaluate the accuracy of fixed-width multipliers. This survey is intended to serve as a suitable guideline and reference for future work in fixed-width multiplier design and its related research.


Author(s):  
Yosi Ben-Asher ◽  
Esti Stein ◽  
Vladislav Tartakovsky

Pass transistor logic (PTL) is a circuit design technique wherein transistors are used as switches. The reconfigurable mesh (RM) is a model that exploits the power of PTLs signal switching, by enabling flexible bus connections in a grid of processing elements containing switches. RM algorithms have theoretical results proving that [Formula: see text] can speed up computations significantly. However, the RM assumes that the latency of broadcasting a signal through [Formula: see text] switches (bus length) is 1. This is an unrealistic assumption preventing physical realizations of the RM. We propose the restricted-RM (RRM) wherein the bus lengths are restricted to [Formula: see text], [Formula: see text]. We show that counting the number of 1-bits in an input of [Formula: see text] bits can be done in [Formula: see text] steps for [Formula: see text] by an [Formula: see text] RRM. An almost matching lower bound is presented, using a technique which adds to the few existing lower-bound techniques in this area. Finally, the algorithm was directly coded over an FPGA, outperforming an optimal tree of adders. This work presents an alternative way of counting, which is fundamental for summing, beating regular Boolean circuits for large numbers, where summing a vast amount of numbers is the basis of any accelerator in embedded systems such as neural-nets and streaming. a


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