Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Fabio CARTA"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Analog in-memory computing is a promising future technology for efficiently accelerating deep learning networks. While using in-memory computing to accelerate the inference phase has been studied extensively, accelerating the training phase
Externí odkaz:
https://doaj.org/article/891ce736eb194cf1bb07219e2ec6dda5
Autor:
Fabia Farlin Athena, Omobayode Fagbohungbe, Nanbo Gong, Malte J. Rasch, Jimmy Penaloza, SoonCheon Seo, Arthur Gasasira, Paul Solomon, Valeria Bragaglia, Steven Consiglio, Hisashi Higuchi, Chanro Park, Kevin Brew, Paul Jamison, Christopher Catano, Iqbal Saraf, Claire Silvestre, Xuefeng Liu, Babar Khan, Nikhil Jain, Steven McDermott, Rick Johnson, I. Estrada-Raygoza, Juntao Li, Tayfun Gokmen, Ning Li, Ruturaj Pujari, Fabio Carta, Hiroyuki Miyazoe, Martin M. Frank, Antonio La Porta, Devi Koty, Qingyun Yang, Robert D. Clark, Kandabara Tapily, Cory Wajda, Aelan Mosden, Jeff Shearer, Andrew Metz, Sean Teehan, Nicole Saulnier, Bert Offrein, Takaaki Tsunomura, Gert Leusink, Vijay Narayanan, Takashi Ando
Publikováno v:
Frontiers in Electronics, Vol 4 (2024)
Analog memory presents a promising solution in the face of the growing demand for energy-efficient artificial intelligence (AI) at the edge. In this study, we demonstrate efficient deep neural network transfer learning utilizing hardware and algorith
Externí odkaz:
https://doaj.org/article/251ccb96d4dd435e83908250513bf0fa
Autor:
Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch
Publikováno v:
APL Machine Learning, Vol 1, Iss 4, Pp 041102-041102-36 (2023)
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 circuitr
Externí odkaz:
https://doaj.org/article/fa2ca9179db74df2aabd9c81cc0a6597
Autor:
María Gil Izquierdo, Fabio Carta
Publikováno v:
Studies of Applied Economics. 32:1097-1116
Este trabajo analiza los principales cambios que se han introducido recientemente en la financiación del Sistema Universitario Español. El objetivo es, por una parte, revisar las consecuencias derivadas de estas medidas en términos de suficiencia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0f0d62a74181695dfb744d193b89338
https://doi.org/10.25115/eea.v32i3.3249
https://doi.org/10.25115/eea.v32i3.3249
Il presente rapporto presenta i risultati della prima fase di una attività avente come obiettivo lo sviluppo di procedure per la realizzazione in sede di modelli in scala di turbine idrocinetiche adatti alla sperimentazione in bacini di rimorchio e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::5be039df4da47702febd9db72ef58d6b
http://www.cnr.it/prodotto/i/468840
http://www.cnr.it/prodotto/i/468840
Autor:
Abu Sebastian, Diego Moreda, Manuel Le Gallo, Tayfun Gokmen, Fabio Carta, Kaoutar El Maghraoui, Cindy Goldberg, Malte J. Rasch, Vijay Narayanan
Publikováno v:
AICAS
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19656a5d0ddbf09e294053d8e49ef1ea
https://doi.org/10.1109/aicas51828.2021.9458494
https://doi.org/10.1109/aicas51828.2021.9458494
Autor:
Fabio Carta, Edoardo S.A. Faiella
Publikováno v:
SP.4-OR.7-D.2, 2021
Progetto TRIM (Tecnologia e Ricerca Industriale per la Mobilità Marina) CTN01_00176_163601, documento SP.4-OR.7-D.2. Il documento riassume le specifiche di realizzazione del gruppo rotore-statore da realizzarsi per caratterizzarne le prestazioni anc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::0cae574abebdc3794f3892028ba3e58f
https://publications.cnr.it/doc/464867
https://publications.cnr.it/doc/464867
Autor:
H. Y. Ho, Asit Kumar Ray, Erh-Kun Lai, Kuo I-Ting, L. Buzi, Huai-Yu Cheng, Marinus Hopstaken, Wanki Kim, H.L. Lung, Fabio Carta, Y. C. Chou, C. W. Yeh, Christian Lavoie, Robert L. Bruce, Lynne Gignac, C. H. Yang, Wei-Chih Chien, Nanbo Gong, Cheng-Wei Cheng, Matthew J. BrightSky, Ming-Hsiu Lee
Publikováno v:
2020 IEEE Symposium on VLSI Technology.
By incorporating Si into AsSeGe system, we demonstrate a 3D stackable OTS+PCM memory in a 1k by 1k cross-point memory array with extremely low $\mathrm{V}_{\mathrm{tS}}$ drift (~0V after 3 days from programming), wide $\mathrm{V}_{\mathrm{tS}}/\mathr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ac84d3cba365a7eece8e43ff7939fb4
https://doi.org/10.1109/vlsitechnology18217.2020.9265039
https://doi.org/10.1109/vlsitechnology18217.2020.9265039
Autor:
C. W. Yeh, Erh-Kun Lai, Y. C. Chou, Wanki Kim, Robert L. Bruce, H.L. Lung, Yu-Yu Lin, Ning Li, Matthew J. BrightSky, C. H. Yang, Fabio Carta, Henry K. Utomo, Cheng-Wei Cheng, H. Y. Ho, Christopher P. Miller, Huai-Yu Cheng, L. Buzi, Asit Kumar Ray, Nanbo Gong, T. Perri, Lynne Gignac, Kuo I-Ting, Wei-Chih Chien
Publikováno v:
2020 IEEE Symposium on VLSI Technology.
We present the first MLC operation for OTS-PCM with comprehensive operation algorithm study. An ADM chip with fast write speed ( 10 9 cycles) are shown indicating the potential for high performance MLC OTS-PCM. A desirable 2-bits/cell operation up to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09ee15f66231eef4a20d5debb82cbe6c
https://doi.org/10.1109/vlsitechnology18217.2020.9265020
https://doi.org/10.1109/vlsitechnology18217.2020.9265020
Autor:
Alessandro Piazza, Roberto Zagaglia, Fabio Carta, Alessia Lucarelli, Andrea Bardazzi, Edoardo Simone Adolfo Faiella, Claudio Lugni
Progettazione strutturale e aero-idrodinamica di un modello in scala per prove in vasca di una turbina eolica galleggiante.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::001b638d05c04264010cb041beef54f6
http://www.cnr.it/prodotto/i/431661
http://www.cnr.it/prodotto/i/431661