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...