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Spin Wave Based Approximate Computing

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Ciubotaru, Florin (author), Adelmann, Christoph (author), Hamdioui, S. (author), Cotofana, S.D. (author)

By their very nature Spin Waves (SWs) enable the realization of energy efficient circuits, as they propagate and interfere within waveguides without consuming noticeable energy. However, SW computing can be even more energy efficient by taking advantage of the approximate computing paradigm as many applications, e.g., multimedia and social...

journal article 2022

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Advances in Magnetics Roadmap on Spin-Wave Computing

Blanter, Y.M. (author), Carmiggelt, J.J. (author), Cotofana, S.D. (author), Hamdioui, S. (author), Nikitin, A. A. (author), Reimann, T. (author), Sharma, S. (author), van der Sar, T. (author), Zhang, X. (author)

Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility with CMOS are just a few of many advantages offered by magnons. Although magnonics is still...

journal article 2022

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Non-Binary Spin Wave Based Circuit Design

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Ciubotaru, Florin (author), Adelmann, Christoph (author), Hamdioui, S. (author), Cotofana, S.D. (author)

By their very nature, Spin Waves (SWs) excited at the same frequency but different amplitudes, propagate through waveguides and interfere with each other at the expense of ultra-low energy consumption. In addition, all (part) of the SW energy can be moved from one waveguide to another by means of coupling effects. In this paper we make use of...

journal article 2022

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Would Magnonic Circuits Outperform CMOS Counterparts?

Mahmoud, A.N.N. (author), Cucu Laurenciu, N. (author), Vanderveken, Frederic (author), Ciubotaru, Florin (author), Adelmann, Christoph (author), Cotofana, S.D. (author), Hamdioui, S. (author)

In the early stages of a novel technology development, it is difficult to provide a comprehensive assessment of its potential capabilities and impact. Nevertheless, some preliminary estimates can be drawn and are certainly of great interest and in this paper we follow this line of reasoning within the framework of the Spin Wave (SW) based...

conference paper 2022

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A Spin Wave-Based Approximate 4:2 Compressor: Seeking the most energy-efficient digital computing paradigm

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Ciubotaru, Florin (author), Adelmann, Christoph (author), Hamdioui, S. (author), Cotofana, S.D. (author)

In this article, we propose an energy-efficient spin wave (SW)-based approximate 4:2 compressor including three- and five-input majority gates. We validate our proposal by means of micromagnetic simulations and assess and compare its performance with state-of-the-art SW 45-nm CMOS and spin-CMOS counterparts. The evaluation results indicate...

journal article 2022

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Multi-frequency Data Parallel Spin Wave Logic Gates

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Adelmann, Christoph (author), Ciubotaru, Florin (author), Hamdioui, S. (author), Cotofana, S.D. (author)

By their very nature, spin waves (SWs) with different frequencies can propagate through the same waveguide, while mostly interfering with their own species. Therefore, more SW encoded data sets can coexist, propagate, and interact in parallel, which opens the road toward hardware replication-free parallel data processing. In this article, we...

journal article 2021

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A Reconfigurable Graphene-Based Spiking Neural Network Architecture

Wang, H. (author), Cucu Laurenciu, N. (author), Cotofana, S.D. (author)

In the paper we propose a reconfigurable graphene-based Spiking Neural Network (SNN) architecture and a training methodology for initial synaptic weight values determination. The proposed graphene-based platform is flexible, comprising a programmable synaptic array which can be configured for different initial synaptic weights and plasticity...

journal article 2021

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Spin Wave Based 4-2 Compressor

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Ciubotaru, Florin (author), Adelmann, Christoph (author), Cotofana, S.D. (author), Hamdioui, S. (author)

By their very nature, Spin Waves (SWs) consume ultra-low amounts of energy, which makes them suitable for ultra-low energy consumption applications. In addition, a compressor can be utilized to further reduce the energy consumption and enhance the speed of a multiplier. Therefore, we propose a novel energy efficient SW based 4-2 compressor...

conference paper 2021

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Graphene-Based Artificial Synapses with Tunable Plasticity

Wang, H. (author), Cucu Laurenciu, N. (author), Jiang, Y. (author), Cotofana, S.D. (author)

Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain's complex functionality and unleashing brain-inspired computation's full potential. To this end, the realization of energy-efficient, low-area, and bio...

journal article 2021

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Spin wave based full adder

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Ciubotaru, Florin (author), Adelmann, Christoph (author), Cotofana, S.D. (author), Hamdioui, S. (author)

Spin Waves (SWs) propagate through magnetic waveguides and interfere with each other without consuming noticeable energy, which opens the road to new ultra-low energy circuit designs. In this paper we build upon SW features and propose a novel energy efficient Full Adder (FA) design consisting of 1 Majority and 2 XOR gates, which outputs Sum...

conference paper 2021

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Fan-out of 2 Triangle Shape Spin Wave Logic Gates

Mahmoud, A.N.N. (author), Adelmann, Christoph (author), Vanderveken, Frederic (author), Cotofana, S.D. (author), Ciubotaru, Florin (author), Hamdioui, S. (author)

Having multi-output logic gates saves much energy because the same structure can be used to feed multiple inputs of next stage gates simultaneously. This paper proposes novel triangle shape fanout of 2 spin wave Majority and XOR gates; the Majority gate is achieved by phase detection, whereas the XOR gate is achieved by threshold detection. The...

conference paper 2021

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Spin Wave Normalization Toward All Magnonic Circuits

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Adelmann, Christoph (author), Ciubotaru, Florin (author), Cotofana, S.D. (author), Hamdioui, S. (author)

The key enabling factor for Spin Wave (SW) technology utilization for building ultra low power circuits is the ability to energy efficiently cascade SW basic computation blocks. SW Majority gates, which constitute a universal gate set for this paradigm, operating on phase encoded data are not input output coherent in terms of SW amplitude....

journal article 2021

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Achieving Wave Pipelining in Spin Wave Technology

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Adelmann, Christoph (author), Ciubotaru, Florin (author), Hamdioui, S. (author), Cotofana, S.D. (author)

By their very nature, voltage/current excited Spin Waves (SWs) propagate through waveguides without consuming noticeable power. If SW excitation is performed by the continuous application of voltages/currents to the input, which is usually the case, the overall energy consumption is determined by the transducer power and the circuit critical...

conference paper 2021

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The 2021 Magnonics Roadmap

Barman, Anjan (author), Gubbiotti, Gianluca (author), Ladak, S. (author), Adeyeye, A. O. (author), Krawczyk, M. (author), Grafe, J. (author), Adelmann, C. (author), Cotofana, S.D. (author), Sadovnikov, A. V. (author)

Magnonics is a budding research field in nanomagnetism and nanoscience that addresses the use of spin waves (magnons) to transmit, store, and process information. The rapid advancements of this field during last one decade in terms of upsurge in research papers, review articles, citations, proposals of devices as well as introduction of new...

review 2021

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Graphene Nanoribbon-based Synapses with Versatile Plasticity

Wang, H. (author), Cucu Laurenciu, N. (author), Jiang, Y. (author), Cotofana, S.D. (author)

Designing and implementing artificial systems that can be interfaced with the human brain or that can provide computational ability akin to brain's processing information efficient style is crucial for understanding human brain fundamental operating principles and to unleashing the full potential of brain-inspired computing. As basic neural...

conference paper 2020

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Fan-out enabled spin wave majority gate

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Adelmann, Christoph (author), Ciubotaru, Florin (author), Hamdioui, S. (author), Cotofana, S.D. (author)

By its very nature, Spin Wave (SW) interference provides intrinsic support for Majority logic function evaluation. Due to this and the fact that the 3-input Majority (MAJ3) gate and the inverter constitute a universal Boolean logic gate set, different MAJ3 gate implementations have been proposed. However, they cannot be directly utilized for...

journal article 2020

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Compact Graphene-Based Spiking Neural Network with Unsupervised Learning Capabilities

Wang, He (author), Cucu Laurenciu, N. (author), Jiang, Y. (author), Cotofana, S.D. (author)

To fully unleash the potential of graphene-based devices for neuromorphic computing, we propose a graphene synapse and a graphene neuron that form together a basic Spiking Neural Network (SNN) unit, which can potentially be utilized to implement complex SNNs. Specifically, the proposed synapse enables two fundamental synaptic functionalities,...

journal article 2020

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Ultra-Compact, Entirely Graphene-based Nonlinear Leaky Integrate-and-Fire Spiking Neuron

Wang, H. (author), Cucu Laurenciu, N. (author), Jiang, Y. (author), Cotofana, S.D. (author)

Designing and implementing artificial neuromorphic systems, which can provide biocompatible interfacing, or the human brain akin ability to efficiently process information, is paramount to the understanding of the human brain complex functionality. Energy-efficient, low-area, and biocompatible artificial neurons are key ubiquitous components of...

conference paper 2020

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4-output Programmable Spin Wave Logic Gate

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Adelmann, Christoph (author), Ciubotaru, Florin (author), Hamdioui, S. (author), Cotofana, S.D. (author)

To bring Spin Wave (SW) based computing paradigm into practice and develop ultra low power Magnonic circuits and computation platforms, one needs basic logic gates that operate and can be cascaded within the SW domain without requiring back and forth conversion between the SW and voltage domains. To achieve this, SW gates have to possess...

conference paper 2020

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N-bit Data Parallel Spin Wave Logic Gate

Mahmoud, A.N.N. (author), Vanderveken, Frederic (author), Ciubotaru, Florin (author), Adelmann, Christoph (author), Cotofana, S.D. (author), Hamdioui, S. (author)

Due to their very nature, Spin Waves (SWs) created in the same waveguide, but with different frequencies, can coexist while selectively interacting with their own species only. The absence of inter-frequency interferences isolates input data sets encoded in SWs with different frequencies and creates the premises for simultaneous data parallel...

conference paper 2020