SMuK 2023 –
wissenschaftliches Programm
T 33: DAQ NN/ML – GRID I
Dienstag, 21. März 2023, 17:00–18:30, HSZ/0301
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17:00 |
T 33.1 |
Track reconstruction with Graph Neural Networks on FPGAs for the ATLAS Event Filter at the HL-LHC — Sebastian Dittmeier and •Sachin Gupta
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17:15 |
T 33.2 |
Convolutional Neural Networks on FPGAs for Processing of ATLAS Liquid Argon Calorimeter Signals — •Johann Christoph Voigt, Anne-Sophie Berthold, Nick Fritzsche, Rainer Hentges, Christian Gutsche, and Arno Straessner
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17:30 |
T 33.3 |
Implementation of neural networks for live reconstruction using AI processors — Klaus Desch, Jochen Kaminski, Michael Lupberger, and •Patrick Schwäbig
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17:45 |
T 33.4 |
Profiling of GPU-based neural network trainings — •Tim Voigtländer, Manuel Giffels, Artur Gottmann, Günter Quast, Matthias Schnepf, and Roger Wolf
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18:00 |
T 33.5 |
Open Science in KM3NeT — •Rodrigo Gracia-Ruiz for the ANTARES-KM3NET-ERLANGEN collaboration
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18:15 |
T 33.6 |
Towards JupyterHub as one point of entry for the PUNCH4NFDI computing infrastructure — •Luka Vomberg, Philip Bechtle, Oliver Freyermuth, and Peter Wienemann for the PUNCH4NFDI Consortium collaboration
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