标题： 一种面向SpiNNaker2类脑MPSoC的端到端DNN推理框架 显示英文标题

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

摘要： 这项工作提出了一种多层DNN调度框架，作为OctopuScheduler的扩展，提供了一个从PyTorch模型到单个SpiNNaker2芯片推理的端到端流程。结合包含量化和降低步骤的前端，所提出的框架使得使用神经形态平台SpiNNaker2能够执行大型和复杂的DNN，直至变压器规模。 显示英文摘要

摘要： 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.