Low-Power and Area-Efficient Parallel Multiplier Design Using Two-Dimensional Bypassing

2016 ◽  
Vol 26 (02) ◽  
pp. 1750030 ◽  
Author(s):  
Pankaj Kumar ◽  
Rajender Kumar Sharma
Keyword(s):  
Signal Processing ◽  
Low Power ◽  
High Speed ◽  
Digital Signal ◽  
Cmos Technology ◽  
Two Dimensional ◽  
Efficient Design ◽  
Parallel Multiplier ◽  
Power Delay Product ◽  
Area Efficient

To develop low-power, high-speed and area-efficient design for portable electronics devices and signal processing applications is a very challenging task. Multiplier has an important role in digital signal processing. Reducing the power consumption of multiplier will bring significant power reduction and other associated advantages in the overall digital system. In this paper, a low-power and area-efficient two-dimensional bypassing multiplier is presented. In two-dimensional bypassing, row and column are bypassed and thus the switching power is saved. Simulation results are realized using UMC 90[Formula: see text]nm CMOS technology and 0.9[Formula: see text]V, with Cadence Spectre simulation tool. The proposed architecture is compared with the existing multiplier architectures, i.e., Braun’s multiplier, row bypassing multiplier, column bypassing multiplier and row and column bypassing multiplier. Performance parameters of the proposed multiplier are better than the existing multipliers in terms of area occupation, power dissipation and power-delay product. These results are obtained for randomly generated input test patterns having uniform distribution probability.

scholarly journals Low power and high speed GDI based convolution using Vedic multiplier

2018 ◽  
Vol 7 (2.7) ◽  
pp. 733
Author(s):  
C Priyanka ◽  
N Manoj Kumar ◽  
L Sai Priya ◽  
B Vaishnavi ◽  
M Rama Krishna
Keyword(s):  
Low Power ◽  
Impulse Response ◽  
High Speed ◽  
Digital Signal ◽  
Building Blocks ◽  
Cmos Technology ◽  
Low Power Consumption ◽  
Basic Building Block ◽  
Extensive Area ◽  
Vedic Multiplier

Convolution is having extensive area of application in Digital Signal Processing. Convolution supports to evaluate the output of a system with arbitrary input, with information of impulse response of the system.  Linear systems features are totally stated by the systems impulse response, as ruled by the mathematics of convolution. Primary necessity of any application to work fast is that rise in the speed of their basic building block. Multiplier, adder is said to be the important building blocks in the process of convolution. As these blocks consumes plentiful time to obtain the response of the system.  Several methods are designed to progress the speed of the Multiplier and adder, among all GDI (Gate Diffusion Input) is under emphasis because of faster working and low power consumption. In this paper GDI based convolution is implemented using Vedic multiplier and adder in T-SPICE Software which increases the speed and consumes less power compared to CMOS technology. 

scholarly journals IMPLEMENTATION OF HIGH SPEED-LOW POWER TRUNCATION ERROR TOLERANT ADDER

2015 ◽  
pp. 239-244
Author(s):  
SYAM KUMAR NAGENDLA ◽  
K. MIRANJI
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
High Speed ◽  
Critical Path ◽  
Processing System ◽  
Digital Signal ◽  
Signal Processing System ◽  
Speed Performance ◽  
Power Delay Product ◽  
Dsp Systems

Now a Days in modern VLSI technology different kinds of errors are invitable. A new type of adder i.e. error tolerant adder(ETA) is proposed to tolerate those errors and to attain low power consumption and high speed performance in DSP systems. In conventional adder circuit, delay is mainly certified to the carry propagation chain along the critical path, from the LSB to MSB. If the carry propagation can be eliminated by the technique proposed in this paper, a great improvement in speed performance and power consumption is achieved. By operating shifting and addition in parallel, the error tolerant adder tree compensates for the truncation errors. To prove the feasibility of the ETA, normal addition operation present in the DFT or DCT algorithm is replaced by the proposed addition arithmetic and the experimental results are shown. In this paper we propose error tolerant Adder (ETA). In the view of DSP applications the ETA is able to case the strict restriction on accuracy, speed performance and power consumption when compared to the conventional Adders, the proposed one provides 76% improvement in power-delay product such a ETA plays a key role in digital signal processing system that can tolerate certain amount of errors.

scholarly journals An Optimized CB-UT Multiplier for Efficient Design of the AM Operator

2020 ◽  
Author(s):  
Hari Krishna Modalavalasa
Keyword(s):  
Signal Processing ◽  
Performance Optimization ◽  
High Speed ◽  
High Performance ◽  
New Technology ◽  
Digital Signal ◽  
Propagation Delay ◽  
Efficient Design ◽  
Silicon Area ◽  
Low Area

The multiplication and accumulation are the vital operations involved in almost all the Digital Signal Processing applications. With the advent of new technology in the domain of VLSI, communication and signal processing, there is an ever going demand for the high speed processing and low area design. In today's technology, Add-Multiply (AM) operator or Multiply Accumulator (MAC) units are generally employed in all high performance digital signal processors (DSP) and controllers. The performance of AM operator mainly depends on the speed of multiplier. A lot of research has been contributed in this area and the conventional multipliers were modified to provide good speed performance but needs to be improved further along with area optimization. Urdhwa-Tiryakbhyam Multiplier (UTM) architecture is adopted from ancient Indian mathematics "Vedas’ and can generate the partial products and sums in one step, which reduces the carry propagation from LSB to MSB. UTM can be used to implement high performance AM operators but results in larger silicon areas. This increased area can be minimized by using the modified compressor based design of UTM. In this work, the carrylook-ahead (CLA) adder is adopted instead of parallel adders for high speed of accumulation. So, the Compressor-Based-Urdhwa-Tiryakbhyam (CB-UT) multiplier with CLA results in both area and performance optimization of Add-Multiply operator. The functionality of this architecture is evaluated by comparing with the Modified Booth (MB) multiplier based AM operator in terms of performance parameters like propagation delay, power consumption and silicon-area. The design is implemented and verified using Xilinx Spartan-3E FPGA and ISE Simulator.

scholarly journals Design of High-Speed Low Power Computational Blocks for DSP Processors

2021 ◽  
Vol 11 (2) ◽  
pp. 1419-1429
Author(s):  
Alivelu Manga N.
Keyword(s):  
Signal Processing ◽  
Integrated Circuits ◽  
Power Consumption ◽  
Low Power ◽  
High Speed ◽  
Large Scale ◽  
Power Optimization ◽  
Digital Signal ◽  
Oxide Semiconductor ◽  
Performance Criteria

In today’s deep submicron VLSI (Very Large-Scale Integration) Integrated Circuits, power optimization and speed play a very important role. This importance for low power has initiated the designs where power dissipation is equally important as performance and area. Power reduction and power management are the key challenges in the design of circuits down to 100nm. For power optimization, there are several techniques and extension designs are applied in the literature. In real time Digital Signal Processing applications, multiplication and accumulation are significant operations. The primary performance criteria for these signal processing operations are speed and power consumption. To lower the power consumption, there are techniques like Multi threshold (Multi-Vth), Dula-Vth etc. Among those, a technique known as GDI (Gate diffusion Input) is used which allows reduction in power, delay and area of digital circuits, while maintaining low complexity of logic design. In this paper, various signal processing blocks like parallel-prefix adder, Braun multiplier and a Barrel shifter are designed using GDI (Gate diffusion Input) technique and compared with conventional CMOS (Complementary Metal Oxide Semiconductor) based designs in terms of delay and speed. The designs are simulated using Cadence Virtuoso 45nm technology. The Simulation results shows that GDI based designs consume less power and delay also reduced compared to CMOS based designs.

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