English(EN) Enabling AWS Cloud FPGA Development Using High-Level Vitis HLS

新工具链支持在AWS云FPGA上进行ML模型开发

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 05:00

研究人员开发了一种新的工具链，使用高级语言在AWS云FPGA基础设施上促进机器学习模型的开发。该系统将Vitis HLS与AFI工作流连接起来，填补了关于AWS FPGA可用性学术文献中的空白。该方法包括从FP32 PyTorch到物理FPGA实现的四个开发级别，以帮助精确定位错误。虽然与CPU/GPU相比，由于权重从主机DRAM流式传输，当前实现显示出性能限制，但未来的工作旨在改进这一点。 AI

影响这一发展可能会简化在专用硬件上部署ML模型的过程，从而可能提高某些任务的推理性能。

排序理由该项目是一篇学术论文，详细介绍了一个用于FPGA开发的新工具链。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 该项目是一篇学术论文，详细介绍了一个用于FPGA开发的新工具链。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · David Rostcheck · 2026-11-05 05:00

使用高级Vitis HLS实现AWS云FPGA开发

arXiv:2611.06829v1 Announce Type: cross Abstract: We present a toolchain for development of ML models on AWS EC2 F2 cloud FPGA infrastructure from high-level language, implementing a complete Vitis HLS to HDK bridge to AFI workflow that has been absent from the academic literatur…

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报道来源 [1]

使用高级Vitis HLS实现AWS云FPGA开发

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