1 citations · 1 across the 3 of their papers we have counts for
4 papers
FPGA-based muon shower identification and graph neural network tracking algorithms for HL-LHC triggers
Daniel Estrada, Elena Aller, Andrea Cardini +3
This work presents two hardware-accelerated strategies for the upgrade of the CMS Level-1 Trigger (L1T) to target efficiency losses due to highly energetic radiating muons and unco…
Integer Quantization of Graph Neural Networks for Real-Time FPGA Track Finding
Andrea Cardini, Pelayo Leguina, Elena Aller +1
Real-time track finding for displaced-muon signatures in the CMS Level-1 trigger must operate under strict fixed-latency constraints of 12.5 s while processing high-throughput d…
On the Codesign of Scientific Experiments and Industrial Systems
Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84
The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…
Using AI on FPGAs for the CMS Overlap Muon Track Finder for the HL-LHC
Pelayo Leguina, Santiago Folgueras, Andrea Cardini +1
Operating the CMS Level-1 trigger under the intense conditions of the High-Luminosity Large Hadron Collider -- with approximately 63~Tb/s of input and a fixed 12.5~s latency --…