Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Lorenzo De Marinis"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 3556-3567 (2024)
In-network function offloading using programmable data plane languages like P4 offers computational resource savings and efficient operations at the network edge. However, the deployment of ML functions in P4~switches exploiting no additional hardwar
Externí odkaz:
https://doaj.org/article/0dcc842329254e868bac3c2b08de8d5f
Publikováno v:
IEEE Access, Vol 7, Pp 175827-175841 (2019)
Photonic solutions are today a mature industrial reality concerning high speed, high throughput data communication and switching infrastructures. It is still a matter of investigation to what extent photonics will play a role in next-generation compu
Externí odkaz:
https://doaj.org/article/5edb06b8d65844b3b12676e5ea93a8ba
Autor:
Lorenzo De Marinis, Marco Cococcioni, Odile Liboiron-Ladouceur, Giampiero Contestabile, Piero Castoldi, Nicola Andriolli
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 6232 (2021)
Reconfigurable linear optical processors can be used to perform linear transformations and are instrumental in effectively computing matrix–vector multiplications required in each neural network layer. In this paper, we characterize and compare two
Externí odkaz:
https://doaj.org/article/4a36f20b1e484774ad1feeb477fe9775
Autor:
Emilio Paolini, Lorenzo De Marinis, Marco Cococcioni, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli
Publikováno v:
Neural Computing and Applications. 34:15589-15601
Photonics-based neural networks promise to outperform electronic counterparts, accelerating neural network computations while reducing power consumption and footprint. However, these solutions suffer from physical layer constraints arising from the u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::849c447d165c3773be2938d6d84fe493
https://doi.org/10.1007/s00521-022-07243-z
https://doi.org/10.1007/s00521-022-07243-z
Autor:
Ioannis Roumpos, Lorenzo De Marinis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Giampiero Contestabile, Nikos Pleros, Miltiadis Moralis-Pegios, Konstantinos Vyrsokinos
Publikováno v:
Optics Express. 31:20068
In this paper, we introduce optics-informed Neural Networks and demonstrate experimentally how they can improve performance of End-to-End deep learning models for IM/DD optical transmission links. Optics-informed or optics-inspired NNs are defined as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f349845646509c7d61c7cf26a437dd7f
https://doi.org/10.1364/oe.487209
https://doi.org/10.1364/oe.487209
Autor:
Giampiero Contestabile, Piero Castoldi, Paolo Bruschi, Nicola Andriolli, Alessandro Catania, Massimo Piotto, Lorenzo De Marinis
In the modern era of artificial intelligence, increasingly sophisticated artificial neural networks (ANNs) are implemented, which pose challenges in terms of execution speed and power consumption. To tackle this problem, recent research on reduced-pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea4949f1896a10555f7068b4e2ff27f8
https://doi.org/10.36227/techrxiv.14995011.v2
https://doi.org/10.36227/techrxiv.14995011.v2
Autor:
Filippo Cugini, Davide Scano, Alessio Giorgetti, Andrea Sgambelluri, Lorenzo De Marinis, Piero Castoldi, Francesco Paolucci
Publikováno v:
Journal of Optical Communications and Networking. 15:A1
This paper presents the potentials and challenges of programmable packet-optical nodes encompassing coherent pluggable modules applied in the context of optical metro networks. Two innovative applications of P4-based data plane programmability are th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaabf4dc0af288f61dbab86080ffed71
https://doi.org/10.1364/jocn.470118
https://doi.org/10.1364/jocn.470118