Scalable training on scalable infrastructures for programmable hardware

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 hardware like FPGAs. A gap exists in accessible ML/...

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Autors principals:	Lorusso Marco, Bonacorsi Daniele, Travaglini Riccardo, Salomoni Davide, Veronesi Paolo, Michelotto Diego, Mariotti Mirko, Bianchini Giulio, Costantini Alessandro, Duma Doina Cristina
Format:	Artigo
Idioma:	Inglês
Publicat:	EDP Sciences 2024-01-01
Col·lecció:	EPJ Web of Conferences
Accés en línia:	https://www.epj-conferences.org/articles/epjconf/pdf/2024/05/epjconf_chep2024_08014.pdf
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