10 citations · 10 across the 5 of their papers we have counts for
6 papers
Commissioning and Low Latency Operation of the Graph Neural Network Electromagnetic Calorimeter Trigger at the Belle II Experiment
M. Neu, F. Baptist, I. Haide +10
We present the commissioning and operation of the Graph Neural Network Electromagnetic Calorimeter Trigger Module (GNN-ETM) of the Belle II experiment at the SuperKEKB collider. Th…
Reconfigurable Computing Challenge: Real-Time Graph Neural Networks for Online Event Selection in Big Science
Marc Neu, Frank Baptist, Thomas Lobmaier +3
Graph neural networks are increasingly adopted in trigger systems for collider experiments, where strict latency and throughput constraints render deployment on embedded platforms…
Hardware-Aware Design of a GNN-Based Hit Filtering Algorithm for the Belle II Level-1 Trigger
Greta Heine, Fabio Mayer, Marc Neu +2
The Belle~II experiment operates at high luminosity, where an increasing beam-induced background imposes stringent demands on the hardware Level-1 trigger system, which must operat…
Hardware-Accelerated GNN-based Hit Filtering for the Belle II Level-1 Trigger
Greta Heine, Fabio Mayer, Marc Neu +2
We present a hardware-accelerated hit filtering system employing Graph Neural Networks (GNNs) on Field-Programmable Gate Arrays (FPGAs) for the Belle II Level-1 Trigger. The GNN ex…
Real-Time Graph-based Point Cloud Networks on FPGAs via Stall-Free Deep Pipelining
Marc Neu, Isabel Haide, Timo Justinger +4
Graph-based Point Cloud Networks (PCNs) are powerful tools for processing sparse sensor data with irregular geometries, as found in high-energy physics detectors. However, deployin…
Real-time Graph Building on FPGAs for Machine Learning Trigger Applications in Particle Physics
Marc Neu, Juergen Becker, Philipp Dorwarth +4
We present a design methodology that enables the semi-automatic generation of a hardware-accelerated graph building architectures for locally constrained graphs based on formally d…