A graph neural network (ETX4VELO) reconstructs LHCb VELO tracks with performance comparable to the production 'search by triplet' algorithm while running end to end in the GPU-based first-level trigger, with additional FPGA power and throughput comparisons.
Graph Neural Network-Based Track Finding in the LHCb Vertex Detector
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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures
A graph neural network (ETX4VELO) reconstructs LHCb VELO tracks with performance comparable to the production 'search by triplet' algorithm while running end to end in the GPU-based first-level trigger, with additional FPGA power and throughput comparisons.