scholarly journals Low Power 32 x 32 – bit Reversible Vedic Multiplier

Recently, low-power consuming devices are gaining demand due to excessive use and requirement of hand-held & portable electronic gadgets. The quest for designing better options to lower the power consumption of a device is in high-swing. The paper proposes two 32 x 32 – bit multipliers. The first design is based only on the Urdhava Tiryakbhyam Sutra of Vedic Mathematics. The use of this sutra has created a multiplier with higher throughput and lesser power utilization than conventional 32 x 32 – bit multipliers. The second design incorporates the reversible logic into the first design, which further reduces the power consumption of the system. Thus bringing together Vedic sutra for multiplication and reversible gates has led to the development of a Reversible Vedic Multiplier which has both the advantages of high-speed and low-power consumption.

Author(s):  
Ansiya Eshack ◽  
S. Krishnakumar

Recently, the increased use of portable devices, has driven the research world to design systems with low power-consumption and high throughput. Vedic multiplier provides least delay even in complex multiplications when compared to other conventional multipliers. In this paper, a 64-bit multiplier is created using the Urdhava Tiryakbhyam sutra in Vedic mathematics. The design of this 64-bit multiplier is implemented in five different ways with the pipelining concept applied at different stages of adder complexities. The different architectures show different delay and power consumption. It is noticed that as complexity of adders in the multipliers reduce, the systems show improved speed and least hardware utilization. The architecture designed using 2 x 2 – bit pipelined Vedic multiplier is, then, compared with existing Vedic multipliers and conventional multipliers and shows least delay.


Nanophotonics ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 937-945
Author(s):  
Ruihuan Zhang ◽  
Yu He ◽  
Yong Zhang ◽  
Shaohua An ◽  
Qingming Zhu ◽  
...  

AbstractUltracompact and low-power-consumption optical switches are desired for high-performance telecommunication networks and data centers. Here, we demonstrate an on-chip power-efficient 2 × 2 thermo-optic switch unit by using a suspended photonic crystal nanobeam structure. A submilliwatt switching power of 0.15 mW is obtained with a tuning efficiency of 7.71 nm/mW in a compact footprint of 60 μm × 16 μm. The bandwidth of the switch is properly designed for a four-level pulse amplitude modulation signal with a 124 Gb/s raw data rate. To the best of our knowledge, the proposed switch is the most power-efficient resonator-based thermo-optic switch unit with the highest tuning efficiency and data ever reported.


2012 ◽  
Vol 9 (24) ◽  
pp. 1900-1905
Author(s):  
Kamran Delfan Hemmati ◽  
Mojtaba Behzad Fallahpour ◽  
Abbas Golmakani ◽  
Kamyar Delfan Hemmati

2018 ◽  
Vol 7 (2.7) ◽  
pp. 733
Author(s):  
C Priyanka ◽  
N Manoj Kumar ◽  
L Sai Priya ◽  
B Vaishnavi ◽  
M Rama Krishna

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. 


2020 ◽  
Vol 2 (9) ◽  
pp. 4172-4178
Author(s):  
Matias Kalaswad ◽  
Bruce Zhang ◽  
Xuejing Wang ◽  
Han Wang ◽  
Xingyao Gao ◽  
...  

Integration of highly anisotropic multiferroic thin films on silicon substrates is a critical step towards low-cost devices, especially high-speed and low-power consumption memories.


2014 ◽  
Vol 93 ◽  
pp. 4-7 ◽  
Author(s):  
Yifeng Hu ◽  
Xiaoyi Feng ◽  
Jiwei Zhai ◽  
Ting Wen ◽  
Tianshu Lai ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document