Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Duma, Doina Cristina"'
Autor:
Duma, Doina Cristina, Parlati, Sandra, Pia, Maria Grazia, Ronchieri, Elisabetta, Saracco, Paolo
This paper summarizes the current status of the electromagnetic data libraries, reviews recent experimental validation results, highlights open issues and introduces new perspectives for the future of these data libraries taking shape in the context
Externí odkaz:
http://arxiv.org/abs/2001.10978
Autor:
Salomoni Davide, Alkhansa Ahmad, Antonacci Marica, Belluomo Patrizia, Biasotto Massimo, Carbone Luca Giovanni, Cesini Daniele, Ciangottini Diego, Ciaschini Vincenzo, Costantini Alessandro, Doria Alessandra, Donvito Giacinto, Duma Doina Cristina, Fanzago Federica, Foggetti Nadina, Fornari Federico, Giorgio Emidio Maria, Italiano Alessandro, Malatesta Giada, Martelli Barbara, Michelotto Diego, Morganti Lucia, Gasparetto Jacopo, Peco Gianluca, Pellegrino Carmelo, Rendina Andrea, Sgaravatto Massimo, Sinisi Francesco, Spiga Daniele, Spinoso Vincenzo, Spisso Bernardino, Stalio Stefano, Strizzolo Lucio, Traldi Sergio, Verlato Marco, Vianello Enrico
Publikováno v:
EPJ Web of Conferences, Vol 295, p 10004 (2024)
INFN has been running a distributed infrastructure (the Tier-1 at Bologna-CNAF and 9 Tier-2 centres) for more than 20 years which currently offers about 150000 CPU cores and 120 PB of space both in tape and disk storage, serving more than 40 internat
Externí odkaz:
https://doaj.org/article/fded6c24e51e4543847e2f9111cc3d07
Autor:
Anderlini Lucio, Boccali Tommaso, Dal Pra Stefano, Duma Doina Cristina, Giommi Luca, Spiga Daniele, Vino Gioacchino
Publikováno v:
EPJ Web of Conferences, Vol 295, p 08013 (2024)
The ML_INFN initiative (“Machine Learning at INFN”) is an effort to foster Machine Learning (ML) activities at the Italian National Institute for Nuclear Physics (INFN). In recent years, artificial intelligence inspired activities have flourished
Externí odkaz:
https://doaj.org/article/fbe7f700efbc45ef93cd9df3f70f8daa
Autor:
Ronchieri Elisabetta, Giommi Luca, Scarponi Luigi Benedettto, Torzi Luca, Costantini Alessandro, Duma Doina Cristina, Salomoni Davide
Publikováno v:
EPJ Web of Conferences, Vol 295, p 07004 (2024)
Anomaly detection in data center IT and physical infrastructure is challenging due to the amount of heterogeneous data to be analyzed. Defining a solution that early identifies unexpected anomalies is particularly important to prevent data losses, br
Externí odkaz:
https://doaj.org/article/3b38ad1437f3436d824121a9de506ce4
Autor:
Lorusso Marco, Bonacorsi Daniele, Travaglini Riccardo, Salomoni Davide, Veronesi Paolo, Michelotto Diego, Mariotti Mirko, Bianchini Giulio, Costantini Alessandro, Duma Doina Cristina
Publikováno v:
EPJ Web of Conferences, Vol 295, p 08014 (2024)
Machine learning (ML) and deep learning (DL) techniques are increasingly influential in High Energy Physics, necessitating effective computing infrastructures and training opportunities for users and developers, particularly concerning programmable h
Externí odkaz:
https://doaj.org/article/03b21943270f4e34a6383baf18ba94de
Akademický článek
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Autor:
Cesini Daniele, Donvito Giacinto, Costantini Alessandro, Aguilar Gomez Fernando, Duma Doina Cristina, Fuhrmann Patrick, Dutka Lukasz, Viljolen Matthew, Battaglia Serena, Poireau Vincent, Dell’Agnello Luca, Keeble Oliver, Lemrani Rachid, Ohmann Christian, Marco de Lucas Jesus
Publikováno v:
EPJ Web of Conferences, Vol 245, p 04010 (2020)
The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope with very large data resources allowing the future e-infrastructures to address the needs of the next generation extreme scale scientific experiments.
Externí odkaz:
https://doaj.org/article/8d3aa6ad97234e09b1afe16a7ea39ddb
Autor:
Cesini Daniele, Donvito Giacinto, Costantini Alessandro, Aguilar Gomez Fernando, Duma Doina Cristina, Fuhrmann Patrick, Dutka Lukasz, Viljolen Matthew, Battaglia Serena, Poireau Vincent, Dell’Agnello Luca, Keeble Oliver, Lemrani Rachid, Ohmann Christian, Marco de Lucas Jesus
Publikováno v:
EPJ Web of Conferences, Vol 214, p 04044 (2019)
The development of data management services capable to cope with very large data resources is a key challenge to allow the future einfrastructures to address the needs of the next generation extreme scale scientific experiments. To face this challeng
Externí odkaz:
https://doaj.org/article/462cdef672174d2a908589f5ab65d936
Autor:
Costantini, Alessandro, Di Modica, Giuseppe, Ahouangonou, Jean Christian, Duma, Doina Cristina, Martelli, Barbara, Galletti, Matteo, Antonacci, Marica, Nehls, Daniel, Bellavista, Paolo, Delamarre, Cedric, Cesini, Daniele
Publikováno v:
Computers (2073-431X); May2022, Vol. 11 Issue 5, p67-N.PAG, 18p
Akademický článek
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