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English(EN) FPGA-Based Neural Network Accelerators for Space Applications: A Survey

调查探讨面向空间任务的基于FPGA的神经网络加速器

一篇发表在arXiv上的调查论文探讨了在空间应用中使用现场可编程门阵列(FPGA)来加速神经网络。该论文强调了空间任务中对先进车载计算日益增长的需求,并指出FPGA因其灵活性、成本效益和抗辐射能力而成为一种有前途的解决方案。它分析了现有研究,指出了趋势和研究空白,并为实现这些加速器以增强航天器能力提出了未来方向。 AI

排序理由 该集群包含一篇发表在arXiv上的调查论文,属于研究类别。[lever_c_demoted from research: ic=1 ai=1.0]

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调查探讨面向空间任务的基于FPGA的神经网络加速器

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该集群包含一篇发表在arXiv上的调查论文,属于研究类别。[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) · Pedro Antunes, Artur Podobas ·

    面向空间应用的基于FPGA的神经网络加速器:一项调查

    arXiv:2504.16173v3 Announce Type: replace-cross Abstract: Space missions are becoming increasingly ambitious, necessitating high-performance onboard spacecraft computing systems. In response, field-programmable gate arrays (FPGAs) have garnered significant interest due to their f…