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20202026
most citedAutomatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors

196 citations · 763 across the 20 of their papers we have counts for

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cs.LG2024★ 6 cited

HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs

Chang Sun, Zhiqiang Que, Thea K. Årrestad +4

Neural networks with sub-microsecond inference latency are required by many critical applications. Targeting such applications deployed on FPGAs, we present High Granularity Quanti…