Database Paper Browser

Back to papers

NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments

Summary: NeutronCloud aligns per-worker GNN workloads to fluctuating cloud resources by dynamically tuning a hybrid local-vs-remote dependency retrieval ratio. It uses dependency-aware partial-reduce to reuse historical embeddings and skip stragglers, achieving 1.8–4.4× speedups. (summarized by gpt-5-mini on Mar 13 2026)

Paper ID
14340
Venue
VLDB
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,298 | 28.36%
DOI
10.14778/3772181.3772186

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
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
278 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00029230623
1,160 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00013586221
1,329 AGL: A Scalable System for Industrial-purpose Graph Machine Learning 2020 VLDB 0.00012561848
2,400 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 8.8955105e-05
3,025 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 7.6906935e-05
3,087 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD 7.5939896e-05
5,333 Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce 2021 SIGMOD 5.5656575e-05
7,091 HongTu: Scalable Full-Graph GNN Training on Multiple GPUs 2023 SIGMOD 4.8370645e-05
8,126 SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training 2023 VLDB 4.5796615e-05
10,027 NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters 2026 SIGMOD 4.1945683e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
5,737 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3480667e-05
9,596 Scalable Graph Convolutional Network Training on Distributed-Memory Systems 2023 VLDB 4.319218e-05
2,400 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 8.8955105e-05
5,345 NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams 2024 VLDB 5.5567697e-05
5,136 NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments 2024 VLDB 5.6723526e-05
3,087 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD 7.5939896e-05
10,570 NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism 2025 VLDB 4.1945683e-05
10,027 NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters 2026 SIGMOD 4.1945683e-05
3,025 NeutronStar: Distributed GNN Training with Hybrid Dependency Management 2022 SIGMOD 7.6906935e-05
9,395 NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism 2025 VLDB 4.3441378e-05