PulseAugur
中
实时 18:42:37
English(EN) ViM-Q: Scalable Algorithm-Hardware Co-Design for Vision Mamba Model Inference on FPGA

ViM-Q 赋能FPGA上高效的Vision Mamba模型推理

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了ViM-Q，一种专为加速FPGA上Vision Mamba (ViM) 模型推理而设计的新型算法-硬件协同设计。该方法解决了量化动态激活离群值和为FPGA架构适配SSM计算的挑战。ViM-Q集成了定制的4位权重量化和一个包含线性引擎和流水线SSM引擎的硬件加速器，能够为多样化的ViM模型进行运行时配置。在AMD ZCU102 FPGA上的测试表明，与GPU基线相比，在低批量推理方面实现了显著的速度提升和能效增益。 AI

影响 能够高效地将Vision Mamba模型部署到资源受限的边缘设备上。

排序理由 详细介绍用于模型推理的新算法-硬件协同设计的学术论文。 [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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

ViM-Q 赋能FPGA上高效的Vision Mamba模型推理

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
详细介绍用于模型推理的新算法-硬件协同设计的学术论文。 [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
156 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Shengzhe Lyu, Yuhan She, Patrick S. Y. Hung, Ray C. C. Cheung, Weitao Xu ·

    ViM-Q: 面向FPGA上Vision Mamba模型推理的可扩展算法-硬件协同设计

    arXiv:2605.01935v1 Announce Type: cross Abstract: Vision Mamba (ViM) models offer a compelling efficiency advantage over Transformers by leveraging the linear complexity of State Space Models (SSMs), yet efficiently deploying them on FPGAs remains challenging. Linear layers strug…

相关实体

相关话题