English(EN) Recent Developments in Transformer Inference Deployment on FPGA Platforms: A Survey

调查详述了Transformer推理在FPGA平台上的部署

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

一篇最近发表在arXiv上的调查论文详细介绍了在现场可编程门阵列（FPGA）平台上部署Transformer推理的进展。该论文强调FPGA作为推理任务的传统CPU和GPU的有前景的替代方案，提供了灵活性、能效和低延迟等优势，使其适合现场部署。该调查系统地回顾了FPGA上Transformer推理的最新技术和优化，旨在指导学术界和工业界的研究人员。 AI

影响强调FPGA作为部署Transformer模型的可行、高效替代方案，可能影响推理成本和可及性。

排序理由该集群包含一篇关于AI模型硬件部署技术的arXiv调查论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Arjan Blankestijn, Uraz Odyurt, Amirreza Yousefzadeh · 2026-09-02 04:00

FPGA平台Transformer推理部署的近期进展：一项调查

arXiv:2609.01212v1 Announce Type: new Abstract: With the rapid and continuous growth in the incorporation of machine learning models based on the Transformer architecture, capable deployment is in high demand. In this context, capable deployment refers to operational performance …

本文如何被排名

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FPGA平台Transformer推理部署的近期进展：一项调查

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