Karlsruhe 2024 –
wissenschaftliches Programm
T 68: Data, AI, Computing 6 (ML utilities)
Mittwoch, 6. März 2024, 16:00–18:00, Geb. 30.34: LTI
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16:00 |
T 68.1 |
b-hive: a Model-Independent Machine Learning Training Framework for the CMS Experiment — •Mate Farkas, Niclas Eich, and Martin Erdmann
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16:15 |
T 68.2 |
Checkpointing of long running machine learning trainings on GPUs — •Jonas Eppelt, Matthias Schnepf, Giacomo De Pietro, and Günter Quast
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16:30 |
T 68.3 |
MLProf: Automated resource profiling of machine learning models in CMS production — •Nathan Prouvost, Marcel Rieger, and Peter Schleper
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16:45 |
T 68.4 |
Ahead-of-time (AOT) compilation of Tensorflow models — •Bogdan Wiederspan, Marcel Rieger, and Peter Schleper
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17:00 |
T 68.5 |
Hog: handling HDL repositories on git — •Davide Cieri
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17:15 |
T 68.6 |
The contribution has been moved to T 41.9.
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17:30 |
T 68.7 |
Dealing with negatively weighted Events in DNN-based LHC Analyses — •Jörn Bach, Christian Schwanenberger, Peer Stelldinger, and Alexander Grohsjean
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17:45 |
T 68.8 |
The contribution has been withdrawn.
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