most citedLL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics

22 citations · 22 across the 1 of their papers we have counts for

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1 paper

cs.AR2022★ 22 cited

LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics

Zhiqiang Que, Hongxiang Fan, Marcus Loo +5

This work presents a novel reconfigurable architecture for Low Latency Graph Neural Network (LL-GNN) designs for particle detectors, delivering unprecedented low latency performanc…