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Xin-Gan Sha

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Open access 2026

Hardware-Aware Early Termination for Low-Latency Spiking Neural Network Inference

Spiking Neural Networks (SNNs) provide a natural computation model for neuromorphic hardware, but fixed-timestep inference can execute substantial redundant temporal computation. This work proposes a hardware-aware early termination (ET) framework that determines the stopping time from accumulated output-spike statisti...

Ze-Yuan Song, Xin-Gan Sha, You-Hua Shi · 0 citations

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