GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs
Summary: GTS enables fast GPU graph processing on a single machine by streaming topology from SSDs to thousands of GPU cores, avoiding inter-machine partitioning. Designed for RMAT32-scale graphs (~64B edges), it outperforms GraphX, Giraph, PowerGraph, TOTEM in experiments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Min-Soo Kim (Daegu Gyeongbuk Institute of Science and Technology)
- 2. Kyuhyeon An (Daegu Gyeongbuk Institute of Science and Technology)
- 3. Himchan Park (Daegu Gyeongbuk Institute of Science and Technology)
- 4. Hyunseok Seo (Daegu Gyeongbuk Institute of Science and Technology)
- 5. Jinwook Kim (Daegu Gyeongbuk Institute of Science and Technology)
BibTeX Citation
@inproceedings{kim_sigmod16,
title = {{GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs}},
author = {Kim, Min-Soo and An, Kyuhyeon and Park, Himchan and Seo, Hyunseok and Kim, Jinwook},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915204},
url = {https://dl.acm.org/doi/10.1145/2882903.2915204},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 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 |
| 3,303 | A Distributed Multi-GPU System for Fast Graph Processing | 2018 | VLDB | 7.5405596e-05 |
| 4,157 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.8629037e-05 |
| 5,075 | CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor | 2024 | VLDB | 6.3740128e-05 |
| 6,457 | TrillionG: A Trillion-scale Synthetic Graph Generator using a Recursive Vector Model | 2017 | SIGMOD | 5.8741671e-05 |
| 6,632 | DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs | 2019 | SIGMOD | 5.8190054e-05 |
| 9,616 | ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework | 2026 | SIGMOD | 5.2434488e-05 |
| 10,787 | cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 20 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00056944564 |
| 32 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00050111008 |
| 2,325 | Giraph Unchained: Barrierless Asynchronous Parallel Execution in Pregel-like Graph Processing Systems | 2015 | VLDB | 8.7495171e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,911 | Fast Iterative Graph Computation with Block Updates | 2013 | VLDB |
| 2 | 10,564 | gMatch: Fine-Grained and Hardware-Efficient Subgraph Matching on GPUs | 2026 | VLDB |
| 3 | 11,087 | Towards Sufficient GPU-accelerated Dynamic Graph Management: Survey and Experiment | 2025 | VLDB |
| 4 | 1,875 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 5 | 4,171 | Accelerating Dynamic Graph Analytics on GPUs | 2018 | VLDB |
| 6 | 10,370 | Fast Optimal Group Steiner Tree Search using GPUs | 2026 | SIGMOD |
| 7 | 5,075 | CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor | 2024 | VLDB |
| 8 | 4,323 | TurboGraph++: A Scalable and Fast Graph Analytics System | 2018 | SIGMOD |
| 9 | 10,950 | Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing | 2025 | VLDB |
| 10 | 4,157 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD |