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Karlsruhe 2024 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 44: Data, AI, Computing 4 (workflow)

Dienstag, 5. März 2024, 16:00–18:00, Geb. 30.34: LTI

16:00 T 44.1 Testing ATLAS computing resources with HammerCloud — •Alexander Mario Lory, Günter Duckeck, Benjamin Rottler, Michael Böhler, and Otmar Biebel
16:15 T 44.2 Integration of the Goettingen HPC resources Emmy to the WLCG Tier-2 grid computing environment of GoeGrid and performance results of the ATLAS jobs — •Saidev Polisetty, Arnulf Quadt, Daniel Schindler, and Sebastian Wozniewski
16:30 T 44.3 The GPU driven journey towards more sustainable HEP computingManuel Giffels, Matthias Schnepf, Günter Quast, and •Tim Voigtländer
16:45 T 44.4 Parallelization and benchmarking of a Jupyter based HEP data analysis with Dask — •Karl Erik Bode, Michael Böhler, and Markus Schumacher
17:00 T 44.5 Orchestrated columnar-based analysis with Columnflow — •Mathis Frahm, Johannes Haller, Philip Keicher, Nathan Provoust, Marcel Rieger, Daniel Savoiu, Peter Schleper, Matthias Schröder, and Bogdan Wiederspan
17:15 T 44.6 Workflow Management with Snakemake: A Case Study in Tau Physics at the ATLAS Detector — •Luka Vomberg, Christian Grefe, Philip Bechtle, and Klaus Desch
17:30 T 44.7 User-oriented sustainable operation of the VISPA Cloud ServicesNiclas Eich, Johannes Erdmann, Martin Erdmann, Benjamin Fischer, Paul Gilles, •Tim Hauptreif, and Jan Kelleter
17:45 T 44.8 Search for Hidden Job Failure Risk Factors in ATLAS Job Meta DataArnulf Quadt, Sebastian Wozniewski, and •Kia-Jüng Yang
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