Preprint
Sep 2026
Integer Quantization of Graph Neural Networks for Real-Time FPGA Track Finding
Real-time track finding for displaced-muon signatures in the CMS Level-1 trigger must operate under strict fixed-latency constraints of 12.5 $\mu$s while processing high-throughput detector data. Because muon hits map naturally onto sparse, irregular graphs, graph neural networks (GNNs) are attractive candidates; howev...
A. Cardini, P. Leguina, E. Aller et al.
· 1 citation