AI RESEARCH
ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing
arXiv CS.AI
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ArXi:2605.20802v1 Announce Type: cross Spiking neural networks (SNNs) exploit event-driven and addition-only computation to substantially improve efficiency for intelligent computation. A key temporal property of SNNs, elastic inference, allows outputs to emerge progressively, enabling responses to salient inputs much earlier than full evaluation. However, existing SNN-specific accelerators cannot capitalize on this property.