Zobrazeno 1 - 10
of 65
pro vyhledávání: '"CARTA Fabio"'
Autor:
Gallo, Manuel Le, Lammie, Corey, Buechel, Julian, Carta, Fabio, Fagbohungbe, Omobayode, Mackin, Charles, Tsai, Hsinyu, Narayanan, Vijay, Sebastian, Abu, Maghraoui, Kaoutar El, Rasch, Malte J.
Publikováno v:
APL Machine Learning (2023) 1 (4): 041102
Analog In-Memory Computing (AIMC) is a promising approach to reduce the latency and energy consumption of Deep Neural Network (DNN) inference and training. However, the noisy and non-linear device characteristics, and the non-ideal peripheral circuit
Externí odkaz:
http://arxiv.org/abs/2307.09357
In-memory computing with resistive crossbar arrays has been suggested to accelerate deep-learning workloads in highly efficient manner. To unleash the full potential of in-memory computing, it is desirable to accelerate the training as well as infere
Externí odkaz:
http://arxiv.org/abs/2303.04721
Autor:
Rasch, Malte J., Moreda, Diego, Gokmen, Tayfun, Gallo, Manuel Le, Carta, Fabio, Goldberg, Cindy, Maghraoui, Kaoutar El, Sebastian, Abu, Narayanan, Vijay
We introduce the IBM Analog Hardware Acceleration Kit, a new and first of a kind open source toolkit to simulate analog crossbar arrays in a convenient fashion from within PyTorch (freely available at https://github.com/IBM/aihwkit). The toolkit is u
Externí odkaz:
http://arxiv.org/abs/2104.02184
Akademický článek
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Akademický článek
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Autor:
Gil Izquierdo, María, Carta, Fabio
Publikováno v:
In Cuadernos de Economía January-April 2017 40(112):42-55
Autor:
Le Gallo, Manuel, Lammie, Corey, Büchel, Julian, Carta, Fabio, Fagbohungbe, Omobayode, Mackin, Charles, Tsai, Hsinyu, Narayanan, Vijay, Sebastian, Abu, El Maghraoui, Kaoutar, Rasch, Malte J.
Publikováno v:
APL Machine Learning; Dec2023, Vol. 1 Issue 4, p1-36, 36p
Publikováno v:
In Organic Electronics January 2013 14(1):286-290
Autor:
MANCINI Andrea, SANTIC Ivan, CARTA Fabio, MAURO Luca, COPPOLA Giovanni, DI COLA Alessandro, ORRICO Giulio, ARRIGO Fabio, BASTI Roberto, DALLATORRE Stefano, OLIVIERI Flavio, SCACCIA Riccardo, SCOPA Leonardo, FILIPPINI Dario
Publikováno v:
C.2629-GATERS-RAP01, 2022
This report presents the results of resistance and propulsion tests performed on the Cargo Ship model, named C.2629 according to the CNR-INM code, in order to evaluate the hydrodynamic performances of the ship. The tests were carried out in the frame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::2aea4c0f39c89405306d26494bc51271
http://www.cnr.it/prodotto/i/464237
http://www.cnr.it/prodotto/i/464237
Autor:
MANCINI Andrea, CARTA Fabio, MAURO Luca, COPPOLA Giovanni, DI COLA Alessandro, GIORGI Vittorio, PIAZZA Alessandro, ORRICO Giulio, ARRIGO Fabio, BASTI Roberto, DALLA TORRE Stefano, GUERRA Massimo, UGOLINI Alberto, SANTOS Victor Hugo, MAGGI Veraldo, BONCI Ivana
Publikováno v:
C2619-18CT17-RAP01, 2020
Nel presente rapporto tecnico sono presentati i risultati delle prove di rimorchio ed autopropulsione in acqua calma eseguite sul modello di carena identificato secondo lo standard del CNR-INM con la sigla C.2619, finalizzate a determinare le caratte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::050dd7adafbf614c9765b141db51c715
http://www.cnr.it/prodotto/i/435633
http://www.cnr.it/prodotto/i/435633