T 44: Data, AI, Computing 4 (workflow)
Dienstag, 5. März 2024, 16:00–18:00, Geb. 30.34: LTI
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16:00 |
T 44.1 |
Testing ATLAS computing resources with HammerCloud — •Alexander Mario Lory, Günter Duckeck, Benjamin Rottler, Michael Böhler, and Otmar Biebel
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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
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16:30 |
T 44.3 |
The GPU driven journey towards more sustainable HEP computing — Manuel Giffels, Matthias Schnepf, Günter Quast, and •Tim Voigtländer
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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
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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
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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
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17:30 |
T 44.7 |
User-oriented sustainable operation of the VISPA Cloud Services — Niclas Eich, Johannes Erdmann, Martin Erdmann, Benjamin Fischer, Paul Gilles, •Tim Hauptreif, and Jan Kelleter
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17:45 |
T 44.8 |
Search for Hidden Job Failure Risk Factors in ATLAS Job Meta Data — Arnulf Quadt, Sebastian Wozniewski, and •Kia-Jüng Yang
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