Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Carlo Cavazzoni"'
Publikováno v:
IEEE Access, Vol 12, Pp 47961-47971 (2024)
Training Deep Learning (DL) models require large, high-quality datasets, often assembled with data from different institutions. Federated Learning (FL) has been emerging as a method for privacy-preserving pooling of datasets employing collaborative t
Externí odkaz:
https://doaj.org/article/105e11334dad42d690a6c3e9135dec79
Autor:
Davide Gadioli, Emanuele Vitali, Federico Ficarelli, Chiara Latini, Candida Manelfi, Carmine Talarico, Cristina Silvano, Carlo Cavazzoni, Gianluca Palermo, Andrea Rosario Beccari
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 11:170-181
Publikováno v:
Optical Fiber Communication Conference (OFC) 2023.
This paper describes some challenges that an operator must face when setting up the environment to evaluate end-to-end 5G mobile networks, with a specific focus on the RAN segment implemented by disaggregated Open RAN solutions.
Autor:
Gianluca Mittone, Marco Aldinucci, Valentina Cesare, Barbara Cantalupo, Alberto Riccardo Martinelli, Carlo Cavazzoni, Iacopo Colonnelli, Maurizio Drocco
Publikováno v:
Journal of Parallel and Distributed Computing. 157:13-29
This work aims at distilling a systematic methodology to modernize existing sequential scientific codes with a little re-designing effort, turning an old codebase into modern code, i.e., parallel and robust code. We propose a semi-automatic methodolo
Publikováno v:
IEEE Transactions on Sustainable Computing. 6:441-455
Complex computing platforms such as High Performance Computers and Data Centers are critical systems from the energy sustainability viewpoint, due to their high computational power and demanding thermal stability specifications. In this context, cool
Publikováno v:
Powder Technology. 364:746-773
Predicting the outcome of jet-milling based on the knowledge of process parameters and starting material properties is a task still far from being accomplished. Given the technical difficulties in measuring thermodynamics, flow properties and particl
Autor:
Gianluca Palermo, Andrea R. Beccari, Cristina Silvano, Emanuele Vitali, Davide Gadioli, Carlo Cavazzoni
Publikováno v:
The Journal of Supercomputing. 75:3374-3396
In drug discovery, molecular docking is the task in charge of estimating the position of a molecule when interacting with the docking site. This task is usually used to perform screening of a large library of molecules, in the early phase of the proc
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030670764
HPCSE
HPCSE
Datacenters are at the heart of the AI, Industry 4.0 and cloud revolution. A datacenter contains a large number of computing nodes hosted in a large temperature-controlled room. Due to the increasing total power and power density of computing nodes,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c9d2ee9a65956a7598b53cb6eb0e7f2
https://doi.org/10.1007/978-3-030-67077-1_1
https://doi.org/10.1007/978-3-030-67077-1_1
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783030432218
PPAM (2)
PPAM (2)
Power consumption is an essential factor that worsens the performance and costs of today and future supercomputer installations. In state-of-the-art works, some approaches have been proposed to reduce the energy consumption of scientific applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e995c332bf4a373fb6a963f90ef7695c
http://hdl.handle.net/11585/788564
http://hdl.handle.net/11585/788564