Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Eleonora Franchi"'
Autor:
Alessio Antolini, Andrea Lico, Francesco Zavalloni, Eleonora Franchi Scarselli, Antonio Gnudi, Mattia Luigi Torres, Roberto Canegallo, Marco Pasotti
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society, Vol 4, Pp 69-82 (2024)
This article presents a readout scheme for analog in-memory computing (AIMC) based on an embedded phase-change memory (ePCM). Conductance time drift is overcome with a hardware compensation technique based on a reference cell conductance tracking (RC
Externí odkaz:
https://doaj.org/article/410dac993f694d3ba1f6f8a8600151c0
Autor:
Alessia Maria Elgani, Matteo D’Addato, Luca Perilli, Eleonora Franchi Scarselli, Antonio Gnudi, Roberto Canegallo, Giulio Ricotti
Publikováno v:
Sensors, Vol 24, Iss 19, p 6369 (2024)
This paper presents a passive Envelope Detector (ED) to be used for reception of OOK-modulated signals, such as in Wake-Up Receivers employed within Wireless Sensor Networks, widely used in the IoT. The main goal is implementing a temperature compens
Externí odkaz:
https://doaj.org/article/89631dffcd144a8c86b77af5af248b25
Autor:
Carmine Paolino, Alessio Antolini, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, Mauro Mangia, Alex Marchioni, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi, Marco Pasotti
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 13, Iss 1, p 17 (2023)
Analog In-Memory computing (AIMC) is a novel paradigm looking for solutions to prevent the unnecessary transfer of data by distributing computation within memory elements. One such operation is matrix-vector multiplication (MVM), a workhorse of many
Externí odkaz:
https://doaj.org/article/9572963715af4224adc9983be52a773b
Autor:
Cristiano Aguzzi, Francesco Antoniazzi, Paolo Azzoni, Luciano Bononi, Francesco Brasini, Roberto Canegallo, Alfredo D’Elia, Angelo De Lisa, Marco Di Felice, Eleonora Franchi, Luca Perilli, Luca Roffia, Luca Sciullo, Roberto Siagri, Martina Verardi, Tullio Salmon Cinotti
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 602, Iss 23, Pp 12-20 (2018)
The Internet of Things (IoTs) is growing fast both in terms of number of devices connected and of complexity of deployments and applications. Several research studies an- alyzing the economical impact of the IoT worldwide identify the interoperabilit
Externí odkaz:
https://doaj.org/article/4ead6855e98f4d4d9c5f615d5ce0edc1
Autor:
Alessio Antolini, Eleonora Franchi Scarselli, Antonio Gnudi, Marcella Carissimi, Marco Pasotti, Paolo Romele, Roberto Canegallo
Publikováno v:
Materials, Vol 14, Iss 7, p 1624 (2021)
In this paper, a thorough characterization of phase-change memory (PCM) cells was carried out, aimed at evaluating and optimizing their performance as enabling devices for analog in-memory computing (AIMC) applications. Exploiting the features of pro
Externí odkaz:
https://doaj.org/article/26babe3ff43c4726b527c4af546867d7
Autor:
Matteo Pizzotti, Luca Perilli, Massimo del Prete, Davide Fabbri, Roberto Canegallo, Michele Dini, Diego Masotti, Alessandra Costanzo, Eleonora Franchi Scarselli, Aldo Romani
Publikováno v:
Sensors, Vol 17, Iss 8, p 1732 (2017)
We present a self-sustained battery-less multi-sensor platform with RF harvesting capability down to −17 dBm and implementing a standard DASH7 wireless communication interface. The node operates at distances up to 17 m from a 2 W UHF carrier. RF po
Externí odkaz:
https://doaj.org/article/3e263504ead0448da01358a2c143ff88
Autor:
Trotta, Angelo, Felice, Marco Di, Perilli, Luca, Scarselli, Eleonora Franchi, Cinotti, Tullio Salmon
Publikováno v:
In Computer Networks 24 October 2020 180
Autor:
Alessio Antolini, Carmine Paolino, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, Mauro Mangia, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi, Marco Pasotti
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13:395-407
Matrix-Vector Multiplications (MVMs) represent a heavy workload for both training and inference in Deep Neural Networks (DNNs) applications. Analog In-memory Computing (AIMC) systems based on Phase Change Memory (PCM) has been shown to be a valid com
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Autor:
Alessio Antolini, Andrea Lico, Eleonora Franchi Scarselli, Antonio Gnudi, Luca Perilli, Mattia Luigi Torres, Marcella Carissimi, Marco Pasotti, Roberto Antonio Canegallo
Publikováno v:
ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC).