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Performance Engineering in High Energy Physics Software: The ATLAS Offline $\chi^2$ Track Fitter
As the ATLAS high energy physics experiment gears up for the HL-LHC upgrade, the performance of the software used to process the experiment's massive amount of data grows more and more important. Models predict that, when HL-LHC becomes operational in 2026, the amount of CPU time required to pr...
Autor principal: | Swatman, Stephen Nicholas |
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Lenguaje: | eng |
Publicado: |
2023
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2875725 |
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