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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| Hauptverfasser: | , , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
EDP Sciences
2024-01-01
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| Schriftenreihe: | EPJ Web of Conferences |
| Online-Zugang: | https://www.epj-conferences.org/articles/epjconf/pdf/2024/05/epjconf_chep2024_08014.pdf |
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