semantic_scholarProceedings of the International Conference on Neuromorphic Systems2026-08-04
Temporal Sparse Die-to-Die Communication in Heterogeneous Neuromorphic Systems
Joshua Nardone, Rui-Jie Zhu, Ruhai Lin, Joseph Callenes, Mohammed E. Elbtity, Ramtin Zand, et al.
TL;DR: This work proposes heterogeneous neural networks that combine spiking neural networks (SNNs) and artificial neural networks (ANNs) at bandwidth-limited regions, such as chip boundaries, where spike-based communication reduces data transfer overhead.
Efficient communication is central to both biological and artificial intelligence (AI) systems. In biological brains, the challenge of long-range communication across regions is addressed through sparse, spike-based signaling, minimizing energy and latency. Conversely, modern AI…