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Fast and resource-efficient Deep Neural Network on FPGA for the Phase-II Level-0 muon barrel trigger of the ATLAS experiment
Proceedings of parallel talk at CHEP 2019. The Level-0 muon trigger system of the ATLAS experiment will undergo a full upgrade for HL-LHC to stand the challenging requirements imposed by the increase in instantaneous luminosity. The upgraded trigger system will send raw hit data to off-detector proc...
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| Lenguaje: | eng |
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2020
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| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202024501021 http://cds.cern.ch/record/2709652 |