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GPU-Accelerated Hypergraph Partitioning and Placement to Map SNNs on Neuromorphic Hardware

Ronzani, Marco et al.
arXiv (All) · Papers
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and-cluster-computingdistributedparallel
SNNs running on neuromorphic hardware use spikes to achieve sparse and energy-efficient communication over a mesh of cores. In turn, system performance heavily depends on the assignment of neurons to cores: the mapping. Since hardware features inter-core multicast and intra-core replication of spike
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