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Graph Neural Networks for High Luminosity Track Reconstruction
<!--HTML-->b"<p>With the upgrade to HL-LHC, traditional algorithms in the event analysis pipeline may struggle to scale to meet throughput requirements, due to the density of detector data and incompatibility with modern heterogeneous parallelism. A promising alternative path is eme...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2809959 |