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