2024-03-26 16:37 |
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2024-03-22 18:32 |
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2024-03-21 17:11 |
Deployment of ATLAS Calorimeter Fast Simulation Training Through Container Technology
/ Corchia, Federico Andrea (Universita e INFN, Bologna (IT)) ; Rinaldi, Lorenzo (Universita e INFN, Bologna (IT)) ; Faucci Giannelli, Michele (INFN e Universita Roma Tor Vergata (IT)) ; Zhang, Rui (University of Wisconsin Madison (US)) ; Beirer, Joshua Falco (CERN)
/ATLAS Collaboration
Simulation of the detector response is a major computational challenge in modern High Energy Physics experiments, as for example it accounts for about two fifths of the total ATLAS computing resources. Among simulation tasks, calorimeter simulation is the most demanding, taking up about 80% of resource use for simulation and expected to increase in the future. [...]
ATL-SOFT-SLIDE-2024-042.-
Geneva : CERN, 2024 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Stony Brook, Us, 11 - 15 Mar 2024
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2024-03-21 17:07 |
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2024-03-21 17:03 |
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2024-03-19 08:40 |
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2024-03-19 08:31 |
Fatras integration for ATLAS fast simulation at HL-LHC
/ Mijovic, Liza (The University of Edinburgh (GB)) ; Wang, Rui (Argonne National Laboratory (US)) ; Javurkova, Martina (University of Massachusetts (US)) ; Chapman, John Derek (University of Cambridge (GB)) ; Shemyakin, Dmitry (Weizmann Institute of Science (IL))
/ATLAS Collaboration
The computing challenges in collecting, storing, reconstructing, and analyzing the colossal volume of data produced by the ATLAS experiment and producing similar numbers of simulated Monte Carlo (MC) events put formidable requirements on the computing resources of the ATLAS collaboration. ATLAS currently expends around 40% of its CPU resources on detector simulation, in which half of the events are produced with full simulation using GEANT4. [...]
ATL-SOFT-SLIDE-2024-038.-
Geneva : CERN, 2024 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Stony Brook, Us, 11 - 15 Mar 2024
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2024-03-19 08:30 |
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2024-03-19 08:28 |
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2024-03-15 15:08 |
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