A VLSI Majority-Logic Device Based on Spin Transfer Torque Mechanism for Brain-Inspired Computing Architecture

Jamshidi, Vahid

doi:10.1109/tvlsi.2020.2997369

Cited by 12 publications

(7 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Spin-wave all spin logic, and spin-transfer torque technology are all included in the spin-based MG implementation. Magnetic tunnel junctions (MTJs) can be used to realize a magnetic graphene graph (MG), using the spintransfer torque technology as an example [6]. An MTJ is a type of emerging spintronic technology consisting of two ferromagnetic layers divided by a thin tunnel barrier that acts as an insulator.…”

Section: Nanotechnologiesmentioning

confidence: 99%

Efficient Majority Logic Parallel-Prefix Adder Design

Efstathiou,

Kouretas,

Kitsos

2024

Preprint

View full text Add to dashboard Cite

Beyond CMOS nanotechnology has been attracted interest by many researchers. The logical fundamental elements of many nanotechnologies are the majority, minority gates and inverters. The design of efficient adder systems and especially the parallel prefix adders is of very importance. In this paper efficient majority logic implementation of parallel prefix is introduced. The proposed methodology can be generalized to any parallel prefix structure design. Moreover, the proposed majority logic parallel prefix adder designs demonstrate decreased circuit complexity when compared to the literature.

show abstract

Section: Nanotechnologiesmentioning

confidence: 99%

Efficient Majority Logic Parallel-Prefix Adder Design

Efstathiou,

Kouretas,

Kitsos

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Proof. The minterms presented in (2) are in one-to-one correspondence with the logical value 1 in the truth table. Suppose that the truth table of f is (s 0 s 1 .…”

Section: Lemma 4 ([29]) If the Truth Table Ofmentioning

confidence: 99%

“…Boolean control network (BCN) is a logical system pioneered by Kauffman in [1] for initially describing genetic regulatory networks, which provides useful modeling tools for dynamical systems whose state-variables take only two values ('True' or 'False'). With the development of information technologies, BCNs have become an effective way to analyze and design circuits by algebraic means in terms of logic gates, and have served as a fundamental approach to digital circuit design, computer programming, and so on (see, e.g., [2][3][4][5][6][7]). With the development of digital circuit, the research on logic synthesis becomes particularly important.…”

Section: Introductionmentioning

confidence: 99%

Conversion between Logic and Algebraic Expressions of Boolean Control Networks

Wang

Tao

2020

Applied Sciences

View full text Add to dashboard Cite

The conversion between logic and algebraic expressions of Boolean control networks plays a worthy role in the analysis and design of digital circuits. In this paper, for a single Boolean function, a direct conversion between the minterm canonical form and the structure matrix is provided. For a Boolean control network consisting of systems of Boolean functions, two algorithms are developed to achieve the mutual conversion between the logic and algebraic expressions. The presented algorithms decrease exponentially the complexity of the semi-tensor product based method. Some numerical examples are given to demonstrate the algorithms and to compare our method with the existing ones.

show abstract

“…It is an artificial neural network formed by the improvement of Hopfield neural network and cellular automata [18], which adopts the local connection of cellular automata and at the same time resolves the difficulty of Hopfield neural network on hardware. As a flexible and efficient local interconnection network, CNN not only has complex chaotic dynamics characteristics but also can be easily integrated on the very large scale integration (VLSI) [19]. Compared with traditional chaotic systems, CNN has more extensive keyspace and outstanding permutation and diffusion properties.…”

Section: Introductionmentioning

confidence: 99%

A Novel Plaintext-Related Color Image Encryption Scheme Based on Cellular Neural Network and Chen’s Chaotic System

et al. 2021

View full text Add to dashboard Cite

To address the problem that traditional stream ciphers are not sensitive to changes in the plaintext, a novel plaintext-related color image encryption scheme is proposed in this paper, which combines the 6-dimensional cellular neural network (CNN) and Chen’s chaotic system. This encryption scheme belongs to symmetric cryptography. In the proposed scheme, the initial key and switching function generated by the plaintext image are first utilized to control the CNN to complete the scrambling process. Then, Chen’s chaotic system is used to diffuse the scrambled image for realizing higher security. Finally, extensive performance evaluation is undertaken to validate the proposed scheme’s ability to offer the necessary security. Furthermore, the scheme is compared alongside state-of-the-art algorithms to establish its efficiency.

show abstract

A VLSI Majority-Logic Device Based on Spin Transfer Torque Mechanism for Brain-Inspired Computing Architecture

Cited by 12 publications

References 31 publications

Efficient Majority Logic Parallel-Prefix Adder Design

Efficient Majority Logic Parallel-Prefix Adder Design

Conversion between Logic and Algebraic Expressions of Boolean Control Networks

A Novel Plaintext-Related Color Image Encryption Scheme Based on Cellular Neural Network and Chen’s Chaotic System

Contact Info

Product

Resources

About