Preprint
Sep 2026
GPU-Accelerated Hypergraph Partitioning and Placement to Map SNNs on Neuromorphic Hardware
A GPU-accelerated pipeline for SNN mapping is proposed: a multi-level partitioning scheme is devised around hardware constraints, while placement is initialized through recursive bisection, followed by refinement pulling together strongly connected cores through repeated swaps.
Marco Ronzani, C. Silvano
· 0 citations