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English(EN) TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI

新型FPGA引擎TRINE加速多模态AI推理

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了TRINE，这是一种专为高效多模态AI推理设计的新型FPGA加速器。该系统将各种AI模型架构（包括ViTs、CNNs、GNNs和Transformer）统一到一个单一的可重构引擎中。与现有硬件相比，TRINE在延迟和功耗方面实现了显著降低，其特性如流内令牌修剪和依赖感知内核卸载为其性能提升做出了贡献。 AI

影响 TRINE在FPGA上实现高效多模态AI推理的进步，可能为嵌入式和边缘设备上更强大的AI应用提供支持。

排序理由 这是一篇详细介绍AI推理新硬件架构的研究论文。[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 →

新型FPGA引擎TRINE加速多模态AI推理

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这是一篇详细介绍AI推理新硬件架构的研究论文。[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) · Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Suyeon Jang, Behnam Khaleghi, Fei Wen, Mohsen Imani ·

    TRINE：一种面向多模态AI的感知令牌、运行时自适应FPGA推理引擎

    arXiv:2603.22867v1 Announce Type: cross Abstract: Multimodal stacks that mix ViTs, CNNs, GNNs, and transformer NLP strain embedded platforms because their compute/memory patterns diverge and hard real-time targets leave little slack. TRINE is a single-bitstream FPGA accelerator a…

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