Hybrid FPGA-AI Engine deployment of a dynamic GNN for Belle II trigger achieves 2.94M events/s throughput at 7.15us latency with 53% better throughput and DSP usage reduced from 99% to 19%.
CMS. The TriDAS project. Technical design report
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Reconfigurable Computing Challenge: Real-Time Graph Neural Networks for Online Event Selection in Big Science
Hybrid FPGA-AI Engine deployment of a dynamic GNN for Belle II trigger achieves 2.94M events/s throughput at 7.15us latency with 53% better throughput and DSP usage reduced from 99% to 19%.