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English(EN) Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA

开源脉冲神经网络加速器集成到基于FPGA的神经形态片上系统中

研究人员开发了一个异构片上系统(SoC),集成了名为ReckOn的开源循环脉冲神经网络(SNN)加速器。该设计旨在通过在现场可编程门阵列(FPGA)上实现SNN,将高效、低功耗的神经形态计算引入边缘设备,为硅芯片流片提供了一种经济高效的替代方案。该SoC与基于RISC-V的X-HEEP微控制器和ARM处理器等传统处理器一起管理ReckOn的运行,验证其准确性并评估在线学习能力。 AI

影响 能够更高效、更经济地将神经形态计算部署到边缘设备上。

排序理由 详细介绍神经形态计算新型硬件架构的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

开源脉冲神经网络加速器集成到基于FPGA的神经形态片上系统中

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详细介绍神经形态计算新型硬件架构的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Gianvito Urgese ·

    集成开源循环SNN加速器的异构SoC,用于FPGA上的神经形态边缘计算

    The growing popularity of Spiking Neural Networks (SNNs) and their applications has led to a significant fast-paced increase of neuromorphic architectures capable of mimicking the spike-based data processing typical of biological neurons. The efficient power consumption and paral…