DBScholar

Back to papers

Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses

Summary: GIDS enables GPU threads to fetch GNN features directly from storage, bypassing CPU sampling bottlenecks and page faults. Its accumulator, fixed CPU buffer, and GPU cache/window buffering deliver up to 582× faster DGL training on terabyte-scale graphs. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13558
Venue
VLDB
Year
2024
Pagerank
6.1547003e-05
Overall Rank
5,597 | 61.61%
DOI
10.14778/3648160.3648166

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{park_vldb24,
        title = {{Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses}},
        author = {Park, Jeongmin Brian and Mailthody, Vikram Sharma and Qureshi, Zaid and Hwu, Wen-mei},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {6},
        pages = {1227--1240},
        doi = {10.14778/3648160.3648166},
        url = {https://doi.org/10.14778/3648160.3648166},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,440 DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training 2025 SIGMOD 5.8782861e-05
6,803 OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine 2024 VLDB 5.7684339e-05
10,521 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank Cited Paper Year Venue Pagerank
223 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00024182473
2,695 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 8.2468134e-05
2,953 Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching 2022 VLDB 7.9237794e-05
4,600 LightNE: A Lightweight Graph Processing System for Network Embedding 2021 SIGMOD 6.6122574e-05
4,905 Medical Entity Disambiguation Using Graph Neural Networks 2021 SIGMOD 6.4497268e-05
4,912 HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training 2022 SIGMOD 6.4481656e-05
6,295 Explaining Link Prediction Systems based on Knowledge Graph Embeddings 2022 SIGMOD 5.9231159e-05
6,433 ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks 2021 SIGMOD 5.8801048e-05
7,011 GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection 2021 SIGMOD 5.7263348e-05
8,895 Compact Walks: Taming Knowledge-Graph Embeddings With Domain- and Task-Specific Pathways 2022 SIGMOD 5.3500818e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 6,652 Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression 2024 VLDB
2 5,243 FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training 2024 VLDB
3 5,316 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB
4 10,521 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB
5 2,640 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD
6 6,440 DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training 2025 SIGMOD
7 6,630 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB
8 7,353 XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store 2024 VLDB
9 2,953 Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching 2022 VLDB
10 1,234 Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture 2021 VLDB