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20232026
most citedNeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments

2 citations · 3 across the 7 of their papers we have counts for

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cs.DC2024

NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism

Xin Ai, Hao Yuan, Zeyu Ling +6

Graph neural networks (GNNs) have emerged as a promising direction. Training large-scale graphs that relies on distributed computing power poses new challenges. Existing distribute…

cs.DC2023★ 2 cited

NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments

Xin Ai, Qiange Wang, Chunyu Cao +5

Graph Neural Networks (GNNs) have demonstrated outstanding performance in various applications. Existing frameworks utilize CPU-GPU heterogeneous environments to train GNN models a…