26–30 Sept 2022
CERN
Europe/Zurich timezone

Session

R&D Lines

27 Sept 2022, 13:30
31/3-004 - IT Amphitheatre (CERN)

31/3-004 - IT Amphitheatre

CERN

105
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Conveners

R&D Lines: Machine Learning

  • Rocky Bala Garg (Stanford University (US))
  • Corentin Allaire (Université Paris-Saclay (FR))

R&D Lines: Parallelisation

  • Attila Krasznahorkay (CERN)
  • Charles Leggett (Lawrence Berkeley National Lab (US))

Description

This covers the R&D lines in machine learning and parallelisation

Presentation materials

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Rocky Bala Garg (Stanford University (US))
27/09/2022, 13:30
Corentin Allaire (Université Paris-Saclay (FR))
27/09/2022, 13:55
Jeremy Couthures (Centre National de la Recherche Scientifique (FR))
27/09/2022, 14:20
Xiangyang Ju (Lawrence Berkeley National Lab. (US))
27/09/2022, 14:45
Beomki Yeo (Lawrence Berkeley National Lab. (US)), Joana Niermann (Georg August Universitaet Goettingen (DE))
27/09/2022, 15:30

An overview of the current status of the algebra-plugins and detray projects, and the remaining developments going on with them.

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