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Slicing Input Features to Accelerate Deep Learning: A Case Study with
  Graph Neural Networks

Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks

21 August 2024
Zhengjia Xu
Dingyang Lyu
Jinghui Zhang
    GNN
ArXivPDFHTML

Papers citing "Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks"

1 / 1 papers shown
Title
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel
  Communication-Computation Pipelining on Multi-GPU Platforms
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms
Yuke Wang
Boyuan Feng
Zheng Wang
Tong Geng
Kevin J. Barker
Ang Li
Yufei Ding
GNN
26
25
0
14 Sep 2022
1