DESIGN OF 64-BIT SQUARER BASED ON VEDIC MATHEMATICS

2014 ◽  
Vol 23 (07) ◽  
pp. 1450092 ◽  
Author(s):  
PRABIR SAHA ◽  
DEEPAK KUMAR ◽  
PARTHA BHATTACHARYYA ◽  
ANUP DANDAPAT
Keyword(s):  
Power Consumption ◽  
High Speed ◽  
Cmos Technology ◽  
Propagation Delay ◽  
Boolean Logic ◽  
Dynamic Power ◽  
Vedic Mathematics ◽  
Vedic Multiplier ◽  
Layout Area ◽  
And Performance

"Vedic mathematics" is the ancient methodology of mathematics which has a unique technique of calculations based on 16 "sutras" (formulae). A Vedic squarer design (ASIC) using such ancient mathematics is presented in this paper. By employing the Vedic mathematics, an (N × N) bit squarer implementation was transformed into just one small squarer (bit length ≪ N) and one adder which reduces the handling of the partial products significantly, owing to high speed operation. Propagation delay and dynamic power consumption of a squarer were minimized significantly through the reduction of partial products. The functionality of these circuits was checked and performance parameters like propagation delay and dynamic power consumption were calculated by spice spectre using 90-nm CMOS technology. The propagation delay of the proposed 64-bit squarer was ~ 16 ns and consumed ~ 6.79 mW power for a layout area of ~ 5.39 mm2. By combining Boolean logic with ancient Vedic mathematics, substantial amount of partial products were eliminated that resulted in ~ 12% speed improvement (propagation delay) and ~ 22% reduction in power compared with the mostly used Vedic multiplier (Nikhilam Navatascaramam Dasatah) architecture.

scholarly journals Design and Performance Analysis of 4-bit Nano-processor Design for Low Area, Low Power and Minimum Delay Using 32nm FinFET Technology

2021 ◽  
Vol 12 ◽  
pp. 1-8
Author(s):  
Sujata A. A ◽  
Lalitha. Y. S
Keyword(s):  
Power Consumption ◽  
High Speed ◽  
Software Tool ◽  
Cmos Technology ◽  
Effective Control ◽  
Low Area ◽  
Area Reduction ◽  
And Performance ◽  
Artificial Neural Network Ann ◽  
Universal Gates

The recent technologies in VLSI Chips have grown in terms of scaling of transistor and device parameters but still, there is challenging task for controlling current between the source and drain terminals. For effective control of device current, the FinFET transistors have come into VLSI chip, through which current can be controlled effectively. This paper is to address the issues present in CMOS technology and majorly concentrated on the proposed 4-bit Nano processor using FinFET 32nm technology by using the Cadence Virtuoso software tool. In the proposed Nano processor, the first part is to design using 4bit ALU which includes all basic and universal gates, efficient and high-speed adder, multiplier, and multiplexer. The Carry Save Adder (CSA) and multiplier are the major subcomponents which can optimize the power consumption and area reduction. The second part of the proposed Nano processor is 4-bit 6T SRAM and Encoder and decoder and also Artificial Neural Network (ANN). All these subcomponents are designed at analog transistors (Schematic level) through which the Graphic Data System (GDS-II) is generated through mask layout design. Finally, the verification and validation are done using DRC and LVS, at the last chip-level circuit is generated for chip fabrication. The ALU is designed by using CMOS inverters and the designed ALU schematic is simulated through 32nm FinFET technological library and compared with CMOS technology which is simulated through 32nm CMOS library (without FinFET). The power consumption of AND, OR, XOR, NOT, NAND gates, SRAM, Encoder, Decoder and ANN are 36.09nW, 64.970nW, 61.13nW, 33.31nW, 37.45nW, 32.5% optimization in power dissipation and 47% optimization in leakage current, 2.68uW, 1.98uW and 7.5% improvement in power consumption and 0.5% information loses compressed subsequently respectively. The basic gates and universal gates, CSA, subtraction, and MUX are integrated for 4-bit ALU design, and its delay, power consumption, and area are 0.104nsec, 314.4uW, and 56.8usqm respectively

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

2019 ◽  
Vol 8 (10) ◽  
pp. 852-856
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
High Speed ◽  
Reversible Logic ◽  
Low Power Consumption ◽  
Vedic Mathematics ◽  
Vedic Multiplier ◽  
X 32

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.

scholarly journals FinFET based Design and Performance Analysis of Nano-processor for Low Area, Low Power and Minimum Delay using 32nm

2021 ◽  
Vol 15 ◽  
pp. 690-699
Author(s):  
D Anil Kumar
Keyword(s):  
Power Consumption ◽  
High Speed ◽  
Software Tool ◽  
Cmos Technology ◽  
Effective Control ◽  
Low Area ◽  
Area Reduction ◽  
And Performance ◽  
Artificial Neural Network Ann ◽  
Universal Gates

The recent technologies in VLSI chips has grown in terms of scaling of transistor and device parameters but still there is a challenging task for controlling of current between source and drain terminals. For effective control of device current, the FinFET transistors have come into VLSI chip manufacturing, through which current can be effectively controlled. This section addresses the issues present in CMOS technology and majorly concentrated on proposed 4-bit Nano processor using FinFET 32nm technology by using Cadence Virtuoso software tool. In the proposed Nanoprocessor design, the first portion of the design is done using 4bit ALU which includes all basic and universal gates, high speed adder, multiplier and multiplexer. The Carry Save Adder (CSA) and multiplier are the major sub component which can optimize the power consumption and area reduction. The second portion of the proposed Nano processor design is 4-bit 6T SRAM and encoder and decoder and also using Artificial Neural Network (ANN). All these sub components are designed at analog transistors (Schematic level) through which the Graphic Data System (GDS-II) is generated through mask layout design. Finally, the verification and validation are done using DRC and LVS and at the last chip level circuit is generated for chip fabrication. The ALU is designed by using CMOS inverters and the designed ALU schematic is simulated through 32nm FinFET using technological library and compared with CMOS technology which is simulated through 32nm CMOS library (without FinFET). The power consumption of AND, OR, XOR, NOT, NAND gates, SRAM, Encoder, Decoder and ANN are 36.09nW, 64.970nW, 61.13nW, 33.31nW, 37.45nW, 32.5% with optimization in power dissipation of 47% along with optimization in leakage current, with 2.68uW, 1.98uW and 7.5% improvement in power consumption and 0.5% information loses are compressed subsequently respectively. The basic gates, universal gates, CSA, subtraction and MUX are integrated for 4-bit ALU design and its delay, power consumption and area are found to be 0.104nsec, 314.4uW and 56.8μsqm respectively.

scholarly journals Towards an Efficient CNN Inference Architecture Enabling In-Sensor Processing

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1955
Author(s):  
Md Jubaer Hossain Pantho ◽  
Pankaj Bhowmik ◽  
Christophe Bobda
Keyword(s):  
Power Consumption ◽  
High Speed ◽  
Image Sensor ◽  
Machine Learning Algorithms ◽  
Hierarchical Optimization ◽  
Computation Method ◽  
Optimization Approach ◽  
Efficient Computation ◽  
Feature Maps ◽  
Dynamic Power

The astounding development of optical sensing imaging technology, coupled with the impressive improvements in machine learning algorithms, has increased our ability to understand and extract information from scenic events. In most cases, Convolution neural networks (CNNs) are largely adopted to infer knowledge due to their surprising success in automation, surveillance, and many other application domains. However, the convolution operations’ overwhelming computation demand has somewhat limited their use in remote sensing edge devices. In these platforms, real-time processing remains a challenging task due to the tight constraints on resources and power. Here, the transfer and processing of non-relevant image pixels act as a bottleneck on the entire system. It is possible to overcome this bottleneck by exploiting the high bandwidth available at the sensor interface by designing a CNN inference architecture near the sensor. This paper presents an attention-based pixel processing architecture to facilitate the CNN inference near the image sensor. We propose an efficient computation method to reduce the dynamic power by decreasing the overall computation of the convolution operations. The proposed method reduces redundancies by using a hierarchical optimization approach. The approach minimizes power consumption for convolution operations by exploiting the Spatio-temporal redundancies found in the incoming feature maps and performs computations only on selected regions based on their relevance score. The proposed design addresses problems related to the mapping of computations onto an array of processing elements (PEs) and introduces a suitable network structure for communication. The PEs are highly optimized to provide low latency and power for CNN applications. While designing the model, we exploit the concepts of biological vision systems to reduce computation and energy. We prototype the model in a Virtex UltraScale+ FPGA and implement it in Application Specific Integrated Circuit (ASIC) using the TSMC 90nm technology library. The results suggest that the proposed architecture significantly reduces dynamic power consumption and achieves high-speed up surpassing existing embedded processors’ computational capabilities.

scholarly journals Bus Implementation Using New Low Power PFSCL Tristate Buffers

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Neeta Pandey ◽  
Bharat Choudhary ◽  
Kirti Gupta ◽  
Ankit Mittal
Keyword(s):  
Power Consumption ◽  
Current Source ◽  
Cmos Technology ◽  
Propagation Delay ◽  
Performance Parameters ◽  
Interesting Consequence ◽  
Spice Simulation ◽  
High Impedance ◽  
Parameter Variations ◽  
Feedback Source

This paper proposes new positive feedback source coupled logic (PFSCL) tristate buffers suited to bus applications. The proposed buffers use switch to attain high impedance state and modify the load or the current source section. An interesting consequence of this is overall reduction in the power consumption. The proposed tristate buffers consume half the power compared to the available switch based counterpart. The issues with available PFSCL tristate buffers based bus implementation are identified and benefits of employing the proposed tristate buffer topologies are put forward. SPICE simulation results using TSMC 180 nm CMOS technology parameters are included to support the theoretical formulations. The performance of proposed tristate buffer topologies is examined on the basis of propagation delay, output enable time, and power consumption. It is found that one of the proposed tristate buffer topology outperforms the others in terms of all the performance parameters. An examination of behavior of available and the proposed PFSCL tristate buffer topologies under parameter variations and mismatch shows a maximum variation of 14%.

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. 

A LOW POWER AND VARIATION-INSENSITIVE CURRENT-MODE SIGNALING SCHEME

2013 ◽  
Vol 22 (08) ◽  
pp. 1350068
Author(s):  
XINSHENG WANG ◽  
YIZHE HU ◽  
LIANG HAN ◽  
JINGHU LI ◽  
CHENXU WANG ◽  
...  
Keyword(s):  
Low Power ◽  
High Speed ◽  
Current Mode ◽  
Signal Propagation ◽  
Cmos Technology ◽  
Propagation Delay ◽  
Noise Performance ◽  
On Chip ◽  
Variation Tolerance ◽  
Driving Signal

Process and supply variations all have a large influence on current-mode signaling (CMS) circuits, limiting their application on the fields of high-speed low power communication over long on-chip interconnects. A variation-insensitive CMS scheme (CMS-Bias) was offered, employing a particular bias circuit to compensate the effects of variations, and was robust enough against inter-die and intra-die variations. In this paper, we studied in detail the principle of variation tolerance of the CMS circuit and proposed a more suitable bias circuit for it. The CMS-Bias with the proposed bias circuit (CMS-Proposed) can acquire the same variation tolerance but consume less energy, compared with CMS-Bias with the original bias circuit (CMS-Original). Both the CMS schemes were fabricated in 180 nm CMOS technology. Simulation and measured results indicate that the two CMS interconnect circuits have the similar signal propagation delay when driving signal over a 10 mm line, but the CMS-Proposed offers about 9% reduction in energy/bit and 7.2% reduction in energy-delay-product (EDP) over the CMS-Original. Simulation results show that the two CMS schemes only change about 5% in delay when suffering intra-die variations, and have the same robustness against inter-die variations. Both simulation and measurements all show that the proposed bias circuits, employing self-biasing structure, contribute to robustness against supply variations to some extent. Jitter analysis presents the two CMS schemes have the same noise performance.

scholarly journals Design and Performance Analysis of 1-Bit FinFET Full Adder Cells for Subthreshold Region at 16 nm Process Technology

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
‘Aqilah binti Abdul Tahrim ◽  
Huei Chaeng Chin ◽  
Cheng Siong Lim ◽  
Michael Loong Peng Tan
Keyword(s):  
High Speed ◽  
Average Power ◽  
Full Adder ◽  
Propagation Delay ◽  
Oxide Semiconductor ◽  
Process Technology ◽  
Subthreshold Region ◽  
And Performance ◽  
Power Delay Product ◽  
20 Nm

The scaling process of the conventional 2D-planar metal-oxide semiconductor field-effect transistor (MOSFET) is now approaching its limit as technology has reached below 20 nm process technology. A new nonplanar device architecture called FinFET was invented to overcome the problem by allowing transistors to be scaled down into sub-20 nm region. In this work, the FinFET structure is implemented in 1-bit full adder transistors to investigate its performance and energy efficiency in the subthreshold region for cell designs of Complementary MOS (CMOS), Complementary Pass-Transistor Logic (CPL), Transmission Gate (TG), and Hybrid CMOS (HCMOS). The performance of 1-bit FinFET-based full adder in 16-nm technology is benchmarked against conventional MOSFET-based full adder. The Predictive Technology Model (PTM) and Berkeley Shortchannel IGFET Model-Common Multi-Gate (BSIM-CMG) 16 nm low power libraries are used. Propagation delay, average power dissipation, power-delay-product (PDP), and energy-delay-product (EDP) are analysed based on all four types of full adder cell designs of both FETs. The 1-bit FinFET-based full adder shows a great reduction in all four metric performances. A reduction in propagation delay, PDP, and EDP is evident in the 1-bit FinFET-based full adder of CPL, giving the best overall performance due to its high-speed performance and good current driving capabilities.

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