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Route-aware, activity-weighted multicast hypergraph mapping provides a better abstraction for mapping spiking neural networks onto neuromorphic many-core platforms than traditional graph partitioning with pairwise placement costs

Mapping spiking neural networks (SNNs) onto neuromorphic many-core platforms is often formulated with graph partitioning and pairwise placement costs. That abstraction is convenient, but it does not match the physical communication event: one spike from a source neuron is delivered to a set of postsynaptic destinations, and routes to several destinations can share mesh links.
Neural and Evolutionary Computing29 Aug 2026

http://arxiv.org/abs/2608.26223v1