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arXiv · 2507.13736

An End-to-End DNN Inference Framework for the SpiNNaker2 Neuromorphic MPSoC

Matthias Jobst·Tim Langer·Chen Liu·Mehmet Alici·Hector A. Gonzalez·Christian Mayr
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Abstract

This work presents a multi-layer DNN scheduling framework as an extension of OctopuScheduler, providing an end-to-end flow from PyTorch models to inference on a single SpiNNaker2 chip. Together with a front-end comprised of quantization and lowering steps, the proposed framework enables the edge-based execution of large and complex DNNs up to transformer scale using the neuromorphic platform SpiNNaker2.

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Matthias Jobst, Tim Langer, Chen Liu, Mehmet Alici, Hector A. Gonzalez, Christian Mayr. 2025-07-18. An End-to-End DNN Inference Framework for the SpiNNaker2 Neuromorphic MPSoC. https://arxiv.org/abs/2507.13736

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