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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
12389
Venue
VLDB
Year
2021
Pagerank
0.00014011556
Overall Rank
1,102 | 92.35%
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
1,162 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00013573136
2,425 DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU 2023 SIGMOD 8.8414587e-05
3,028 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 7.6833093e-05
3,281 Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching 2022 VLDB 7.2812392e-05
5,135 NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments 2024 VLDB 5.6669017e-05
5,485 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 5.4817019e-05
5,746 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3429324e-05
6,979 OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine 2024 VLDB 4.8697538e-05
7,014 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 4.8570865e-05
7,087 HongTu: Scalable Full-Graph GNN Training on Multiple GPUs 2023 SIGMOD 4.8324242e-05
7,543 XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store 2024 VLDB 4.7103673e-05
8,161 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 4.5688249e-05
9,596 Scalable Graph Convolutional Network Training on Distributed-Memory Systems 2023 VLDB 4.3150788e-05
10,713 Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing 2025 VLDB 4.1905499e-05
11,036 TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning 2024 VLDB 4.1905499e-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 0.00013715114
5,711 EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs 2021 VLDB 5.3603407e-05
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Overall Rank Paper Year Venue Pagerank
5,746 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3429324e-05
7,087 HongTu: Scalable Full-Graph GNN Training on Multiple GPUs 2023 SIGMOD 4.8324242e-05
10,233 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.1905499e-05
3,988 G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs 2020 VLDB 6.5548465e-05
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6,944 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 4.8875946e-05
4,525 GPU-based Graph Traversal on Compressed Graphs 2019 SIGMOD 6.1087614e-05
3,092 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD 7.5869574e-05
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9,596 Scalable Graph Convolutional Network Training on Distributed-Memory Systems 2023 VLDB 4.3150788e-05