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Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture

Summary: GPU-based GCN training with direct zero-copy host feature access; avoids CPU gathering and reduces host bandwidth. PCIe alignment and async zero-copy overlap yield 65–92% speedups vs CPU transfers; GPU-memory on large graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12388
Venue
VLDB
Year
2021
Pagerank
0.00014025101
Overall Rank
1,103 | 92.33%
DOI
10.14778/3476249.3476264

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
1,160 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00013586221
2,422 DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU 2023 SIGMOD 8.8499665e-05
3,025 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 7.6906935e-05
3,276 Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching 2022 VLDB 7.2879718e-05
5,136 NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments 2024 VLDB 5.6723526e-05
5,475 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 5.4869706e-05
5,737 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3480667e-05
6,980 OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine 2024 VLDB 4.8744298e-05
7,014 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 4.8616315e-05
7,091 HongTu: Scalable Full-Graph GNN Training on Multiple GPUs 2023 SIGMOD 4.8370645e-05
7,545 XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store 2024 VLDB 4.714889e-05
8,157 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 4.5730908e-05
9,596 Scalable Graph Convolutional Network Training on Distributed-Memory Systems 2023 VLDB 4.319218e-05
10,705 Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing 2025 VLDB 4.1945683e-05
11,033 TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning 2024 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,138 Traversing Large Graphs on GPUs with Unified Memory 2020 VLDB 0.00013727765
5,699 EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs 2021 VLDB 5.3654927e-05
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Overall Rank Paper Year Venue Pagerank
5,737 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3480667e-05
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10,233 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.1945683e-05
3,986 G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs 2020 VLDB 6.5611714e-05
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