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Related papers: Beyond-CMOS Device Benchmarking for Boolean and No…

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Multiple logic devices are presently under study within the Nanoelectronic Research Initiative (NRI) to carry the development of integrated circuits beyond the CMOS roadmap. Structure and operational principles of these devices are…

Mesoscale and Nanoscale Physics · Physics 2013-02-04 Dmitri E. Nikonov , Ian A. Young

Recently several device and circuit design techniques have been explored for applying nano-magnets and spin torque devices like spin valves and domain wall magnets in computational hardware. However, most of them have been focused on…

Disordered Systems and Neural Networks · Physics 2013-08-26 Mrigank Sharad , Charles Augustine , Kaushik Roy

In this paper we discuss the potential of emerging spintorque devices for computing applications. Recent proposals for spinbased computing schemes may be differentiated as all-spin vs. hybrid, programmable vs. fixed, and, Boolean vs.…

Disordered Systems and Neural Networks · Physics 2013-08-19 Kaushik Roy , Mrigank Sharad , Deliang Fan , Karthik Yogendra

Multiple beyond-CMOS information processing devices are presently under active research and require methods of benchmarking them. A new approach for calculating the performance metric, energy-delay product, of such devices is proposed. The…

Mesoscale and Nanoscale Physics · Physics 2015-06-17 Angik Sarkar , Dmitri E. Nikonov , Ian A. Young , Behtash Behin-Aein , Supriyo Datta

Numerous neural network circuits and architectures are presently under active research for application to artificial intelligence and machine learning. Their physical performance metrics (area, time, energy) are estimated. Various types of…

Emerging Technologies · Computer Science 2019-07-15 Dmitri E. Nikonov , Ian A. Young

Over the past decade a large family of spintronic devices have been proposed as candidates for replacing CMOS for future digital logic circuits. Using the recently developed Modular Approach framework, we investigate and identify the…

Mesoscale and Nanoscale Physics · Physics 2017-03-27 Samiran Ganguly , Kerem Yunus Camsari , Supriyo Datta

Traditional logical equivalence checking (LEC) which plays a major role in entire chip design process faces challenges of meeting the requirements demanded by the many emerging technologies that are based on logic models different from…

Emerging Technologies · Computer Science 2020-05-29 Arash Fayyazi , Shahin Nazarian , Massoud Pedram

We present a new circuit for non-Boolean recognition of binary images. Employing all-spin logic (ASL) devices, we design logic comparators and non-Boolean decision blocks for compact and efficient computation. By manipulation of fan-in…

Emerging Technologies · Computer Science 2016-05-25 Hamidreza Aghasi , Rouhollah Mousavi Iraei , Azad Naeemi , Ehsan Afshari

It is an intriguing concept to use oscillators as fundamental building blocks of electronic computers. The idea is not new, but is currently subject to intense research as a part of the quest for 'beyond Moore' electronic devices. In this…

Emerging Technologies · Computer Science 2018-05-24 Gyorgy Csaba , Wolfgang Porod

A new proposal is given for designing a non-volatile, completely spin logic device, that can be reprogrammed for different functional classical logical operations. We use the concept of bias driven spin dependent circular current and…

Mesoscale and Nanoscale Physics · Physics 2021-02-04 Moumita Patra , Alok Shukla , Santanu K Maiti

Spin-based electronics has evolved into a major field of research that broadly encompasses different classes of materials, magnetic systems, and devices. This review describes recent advances in spintronics that have the potential to impact…

Probabilistic machine learning enabled by the Bayesian formulation has recently gained significant attention in the domain of automated reasoning and decision-making. While impressive strides have been made recently to scale up the…

Emerging Technologies · Computer Science 2020-04-22 Kezhou Yang , Akul Malhotra , Sen Lu , Abhronil Sengupta

Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information. To fully realize this potential, neuromorphic systems should exploit the biomimetic behavior of…

Many of the systems that appear in various signal processing applications are non-linear, for example, due to hardware impairments such as non-linear amplifiers and finite-resolution quantization. The Bussgang decomposition is a popular…

Signal Processing · Electrical Eng. & Systems 2020-05-05 Özlem Tuğfe Demir , Emil Björnson

As nanoelectronics approaches the nanometer scale, a massive effort is underway to identify the next scalable logic technology beyond Complementary Metal Oxide Semiconductor (CMOS) computing. Such computing technology needs to improve…

Mesoscale and Nanoscale Physics · Physics 2017-03-07 Sasikanth Manipatruni , Dmitri E. Nikonov , Ramamoorthy Ramesh , Huichu Li , Ian A. Young

This paper proposes a new logic optimization paradigm based on circuit simulation, which reduces the need for Boolean computations such as SAT-solving or constructing BDDs. The paper develops a Boolean resubstitution framework to…

Logic in Computer Science · Computer Science 2020-07-07 Siang-Yun Lee , Heinz Riener , Alan Mishchenko , Robert K. Brayton , Giovanni De Micheli

This paper provides a tutorial overview over recent vigorous efforts to develop computing systems based on spin waves instead of charges and voltages. Spin-wave computing can be considered as a subfield of spintronics, which uses magnetic…

While magnetic solid-state memory has found commercial applications to date, magnetic logic has rather remained on a conceptual level so far. Here, we discuss open challenges of different spintronic logic approaches, which use magnetic…

Emerging Technologies · Computer Science 2024-01-19 Christoph Adelmann , Florin Ciubotaru , Fanfan Meng , Sorin Cotofana , Sebastien Couet

Beyond edge devices can function off the power grid and without batteries, enabling them to operate in difficult to access regions. However, energy costly long-distance communication required for reporting results or offloading computation…

Nonlinear system identification remains an important open challenge across research and academia. Large numbers of novel approaches are seen published each year, each presenting improvements or extensions to existing methods. It is natural,…

Systems and Control · Electrical Eng. & Systems 2024-08-28 Max D. Champneys , Gerben I. Beintema , Roland Tóth , Maarten Schoukens , Timothy J. Rogers
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