Fast Optimal Group Steiner Tree Search using GPUs
Summary: First GPU-tailored optimal GST solver: breaks traditional bottom-up DP into a parallel-friendly order and adds GST-specific load balancing (kernel fusion, global-memory coalescing) plus parallel-safe pruning to achieve 48–2390× speedups. Also introduces a GPU DP for diameter-bounded GSTs. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Jiayu Li
- 2. Yahui Sun
- 3. Bojing Ma
- 4. Libang Chen
- 5. Mengxi Hu
- 6. Feng Zhang
- 7. Rong-Hua Li
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,641 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | 2020 | SIGMOD | 6.8884895e-05 |
| 4,168 | Accelerating Triangle Counting on GPU | 2021 | SIGMOD | 6.391271e-05 |
| 4,522 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.1146374e-05 |
| 5,474 | Efficient Load-Balanced Butterfly Counting on GPU | 2022 | VLDB | 5.4881807e-05 |
| 5,683 | Efficient and Progressive Group Steiner Tree Search | 2016 | SIGMOD | 5.3723969e-05 |
| 7,225 | Self-adaptive Graph Traversal on GPUs | 2021 | SIGMOD | 4.7956162e-05 |
| 11,264 | Approximating Probabilistic Group Steiner Trees in Graphs | 2023 | VLDB | 4.1945683e-05 |
| 11,493 | Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights | 2021 | VLDB | 4.1945683e-05 |
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| 8,171 | GTS: GPU-based Tree Index for Fast Similarity Search | 2024 | SIGMOD | 4.5688498e-05 |
| 11,493 | Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights | 2021 | VLDB | 4.1945683e-05 |
| 5,683 | Efficient and Progressive Group Steiner Tree Search | 2016 | SIGMOD | 5.3723969e-05 |