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
Show room on map

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

There are no materials yet.

  1. Rocky Bala Garg (Stanford University (US))
    27/09/2022, 13:30
  2. Corentin Allaire (Université Paris-Saclay (FR))
    27/09/2022, 13:55
  3. Jeremy Couthures (Centre National de la Recherche Scientifique (FR))
    27/09/2022, 14:20
  4. Xiangyang Ju (Lawrence Berkeley National Lab. (US))
    27/09/2022, 14:45
  5. 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.

    Go to contribution page
  6. Mr Stephen Nicholas Swatman (University of Amsterdam (NL))
    27/09/2022, 15:55

    A description of the library providing generic vector field descriptions for the R&D project.

    Go to contribution page
  7. Guilherme Metelo Rita De Almeida (Universidade de Lisboa (PT))
    27/09/2022, 16:20

    An overview of the traccc project, showing its current status and the remaining plans with it.

    Go to contribution page
  8. 27/09/2022, 16:50

    A discussion about the data model used in the R&D projects, and how it would be translated into the Acts project.

    Go to contribution page
  9. 27/09/2022, 17:20

    A discussion on how the traccc algorithms would be transplanted into Acts(Core/Plugin) tools/components at the conclusion of the R&D effort.

    Go to contribution page
Building timetable...