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/...

詳細記述

書誌詳細

主要な著者:	Lorusso Marco, Bonacorsi Daniele, Travaglini Riccardo, Salomoni Davide, Veronesi Paolo, Michelotto Diego, Mariotti Mirko, Bianchini Giulio, Costantini Alessandro, Duma Doina Cristina
フォーマット:	Artigo
言語:	Inglês
出版事項:	EDP Sciences 2024-01-01
シリーズ:	EPJ Web of Conferences
オンライン･アクセス:	https://www.epj-conferences.org/articles/epjconf/pdf/2024/05/epjconf_chep2024_08014.pdf
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!