Searched for: author%3A%22Cotofana%2C+S.D.%22
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Finocchio, Giovanni (author), Incorvia, Jean Anne C. (author), Friedman, Joseph S. (author), Yang, Qu (author), Giordano, Anna (author), Grollier, Julie (author), Yang, Hyunsoo (author), Cotofana, S.D. (author), Lin, Peng (author)
In the ‘Beyond Moore’s Law’ era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same time, adopting a variety of nanotechnologies will offer benefits in energy cost, computational speed, reduced footprint, cyber resilience, and processing power. The...
review 2024
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Liolis, Orestis (author), Mardiris, Vassilios A. (author), Karafyllidis, Ioannis G. (author), Cotofana, S.D. (author), Sirakoulis, Georgios Ch (author)
Quantum-dot Cellular Automata (QCA) provide very high scale integration potential, very high switching frequency, and have extremely low power demands, which make the QCA technology quite attractive for the design and implementation of large-scale, high-performance nanoelectronic circuits. However, state-of-the-art QCA circuit designs were...
journal article 2023
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Mahmoud, A.N.N. (author), Ciubotaru, Florin (author), Vanderveken, Frederic (author), Adelmann, Christoph (author), Cotofana, S.D. (author), Hamdioui, S. (author)
Spin Waves (SWs), by their nature, are excited by means of voltage driven or current driven cells under two modes: Continuous Mode Operation (CMO), and Pulse Mode Operation (PMO). Moreover, the low throughput of the SW technology (caused by its high latency) can be enhanced by wavepipelining which is supported inherently by the SW under the...
journal article 2023
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Adelmann, C. (author), Ciubotaru, F. (author), Meng, F. (author), Cotofana, S.D. (author), Couet, S. (author)
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 excitations for computation. While different logic gate designs have been proposed and proof of concept...
conference paper 2023
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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