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用于张量编译器的配置交叉注意力的图形神经网络

Dmitrii Khizbullin1, Eduardo Rocha de Andrade2, Thanh Hau Nguyen2

  • 1King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Frontiers in artificial intelligence
|September 5, 2025
PubMed
概括

通过智能选张量配置, 加快神经网络推断. 这种AI张量编译器显著提高了AI数据中心的性能并降低了能源消耗.

关键词:
注意力机制图形神经网络 (GNN)系统的机器学习排名损失函数张量编译

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