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English(EN) SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction

智能网卡通过减少通信开销加速大规模GNN训练 · 跟踪2个来源

两篇新的研究论文提出了将任务卸载到智能网卡以加速大规模图神经网络(GNN)训练的方法。LGNNIC 通过在智能网卡上执行邻居采样和量化来专注于减少通信开销,实现了显著的加速。SNI-GNN 在智能网卡上引入了网络内嵌入预测,以减少节点间通信,展示了显著的加速和最小的准确率损失。 AI

影响 这些方法可以显著提高大型图神经网络训练的效率和可扩展性,从而实现更复杂的应用。

排序理由 两篇学术论文提出了加速GNN训练的新颖方法。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

智能网卡通过减少通信开销加速大规模GNN训练 · 跟踪2个来源

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两篇学术论文提出了加速GNN训练的新颖方法。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Liad Gerstman, Aditya Dhakal, Dejan Milojicic, Avi Mendelson ·

    LGNNIC:使用SmartNICs加速大规模GNN训练

    arXiv:2608.07733v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) are widely used across domains such as natural sciences, social network analysis, chip design, and recommendation systems. However, as graph sizes grow, storing and processing them entirely on a single…

  2. arXiv cs.LG TIER_1 English(EN) · Guofan Yu, Sitian Chen, Zhenheng Tang, Xiaowen Chu, Amelie Chi Zhou ·

    SNI-GNN:智能网卡辅助的具有网络内嵌入预测的全图GNN训练

    arXiv:2608.06441v1 Announce Type: new Abstract: Full-graph GNN training delivers high accuracy but scales poorly on multi-server clusters due to heavy, irregular inter-node embedding exchanges. We present SNI-GNN, a SmartNIC-assisted full-graph training system that reduces commun…