Cargando…
Fast Deep Learning on FPGAs for the Phase-II L0 Muon Barrel Trigger of the ATLAS Experiment
The Level-0 Muon Trigger system of the ATLAS experiment will undergo a full upgrade for HL-LHC to stand the challenging performances requested with the increasing instantaneous luminosity. The upgraded trigger system foresees to send RPC raw hit data to the off-detector trigger processors, where the...
Autor principal: | Francescato, Simone |
---|---|
Lenguaje: | eng |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2668088 |
Ejemplares similares
-
Fast Deep Learning on FPGAs for the Phase-II L0 Muon Barrel Trigger of the ATLAS Experiment
por: Sabetta, Luigi
Publicado: (2019) -
Fast and Resource efficient Depp NN on FPGAs for the Phase-II L0 Muon Barrel Trigger of the ATLAS experiment
por: Giagu, Stefano, et al.
Publicado: (2019) -
Fast and resource-efficient Deep Neural Network on FPGA for the Phase-II Level-0 muon barrel trigger of the ATLAS experiment
por: Giagu, Stefano
Publicado: (2020) -
Studies of the Level-0 Muon Trigger algorithm in the Barrel region of the ATLAS experiment for High-Luminosity LHC
por: Francescato, Simone
Publicado: (2018) -
A Trigger Demonstrator for the L0 Muon Barrel Trigger of the ATLAS Experiment for HL-LHC
por: Albano, Andrea, et al.
Publicado: (2021)