Browsing by Author "Sirakoulis, G. C."

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    Experience on material implication computing with an electromechanical memristor emulator
    (IEEE, 2016) Zuin, S.; Escudero López, M.; Moll, F.; Rubio, A.; Vourkas, Ioannis; Sirakoulis, G. C.
    Memristors are being considered as a promising emerging device able to introduce new paradigms in both data storage and computing. In this paper the authors introduce the concept of a quasi-ideal experimental device that emulates the fundamental behavior of a memristor based on an electromechanical organization. By using this emulator, results about the experimental implementation of an unconventional material implication-based data-path equivalent to the i-4004 are presented and experimentally demonstrated. The use of the proposed quasi-ideal device allows the evaluation of this new computing paradigm, based on the resistance domain, without incorporating the disturbance of process and cycle to cycle variabilities observed in real nowadays devices that cause a limit in yield and behavior.
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    Towards memristive crossbar-based neuromorphic HW accelerators for signal processing
    (IEEE, 2017) Vourkas, I.; Abusleme Hoffman, Ángel Christian; Vasileiadis, N.; Sirakoulis, G. C.; Papamarkos, N.
    Research progress in neuromorphic hardware, capable of biological perception and cognitive information processing, is leading the way towards a revolution in computing technology. Current research efforts have focused mainly on resistive switching devices, the electronic analog of synapses in artificial neural networks (ANNs), and the crossbar nanoarchitecture, for its huge connectivity and maximum integration density. In this context, this work presents the design and simulation of a memristive crossbar-based ANN for text recognition tasks, implementing a novel computing algorithm. In such case study, important issues during the application mapping process are identified and properly addressed at device and circuit level. The computing capabilities of the proposed system are highlighted through SPICE-level circuit simulations, which show excellent agreement with theoretical simulation results.
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    Voltage Divider for Self-Limited Analog State Programing of Memristors
    (2020) Gómez Mir, Jorge Tomás; Sdoukou Ioannis, Vourkas; Abusleme Hoffman, Ángel Christian; Sirakoulis, G. C.; Rubio, A.