Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nathan C. P. Farinha"'
Autor:
Hsinyu Tsai, Irem Boybat, Carmelo di Nolfo, Geoffrey W. Burr, Robert M. Shelby, Nathan C. P. Farinha, Severin Sidler, Pritish Narayanan, Martina Bodini, Yassine Jaoudi, Christina Cheng, Massimo Giordano, Benjamin Killeen, Stefano Ambrogio
Publikováno v:
Nature. 558(7708)
Neural-network training can be slow and energy intensive, owing to the need to transfer the weight data for the network between conventional digital memory chips and processor chips. Analogue non-volatile memory can accelerate the neural-network trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55e9b182c6d079cc24b63f25a8367da2
https://pubmed.ncbi.nlm.nih.gov/29872204
https://pubmed.ncbi.nlm.nih.gov/29872204
Autor:
Carmelo di Nolfo, Geoffrey W. Burr, Irem Boybat, Severin Sidler, Nathan C. P. Farinha, Robert M. Shelby, Hsinyu Tsai, Yusuf Leblebici, Stefano Ambrogio, Pritish Narayanan, Martina Bodini
Publikováno v:
ICRC
Cognitive computing - which learns to do useful computational tasks from data, rather than by being programmed explicitly - represents a fundamentally new form of computing. Unfortunately, Deep Neural Networks (DNNs) learn from repeated exposure to h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::773eea42c84f39f795fcc55415182eb7
https://doi.org/10.1109/icrc.2017.8123642
https://doi.org/10.1109/icrc.2017.8123642
Autor:
Scott C. Lewis, Hung-Yang Chang, Hsinyu Tsai, Geoffrey W. Burr, Nathan C. P. Farinha, An Chen, Pritish Narayanan, Stefano Ambrogio, Kohji Hosokawa, Charles Mackin
Publikováno v:
IBM Journal of Research and Development. 63:8:1-8:14
In this article, we present innovative microarchitectural designs for multilayer deep neural networks (DNNs) implemented in crossbar arrays of analog memories. Data is transferred in a fully parallel manner between arrays without explicit analog-to-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc7aa63daa2ead0f7dc98f13afc0fee
https://doi.org/10.1147/jrd.2019.2934050
https://doi.org/10.1147/jrd.2019.2934050