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 |
|---|---|---|---|---|
| 3,488 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | 2020 | SIGMOD | 7.0460627e-05 |
| 4,146 | Accelerating Triangle Counting on GPU | 2021 | SIGMOD | 6.4065776e-05 |
| 4,525 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.1087614e-05 |
| 5,483 | Efficient Load-Balanced Butterfly Counting on GPU | 2022 | VLDB | 5.4829054e-05 |
| 5,697 | Efficient and Progressive Group Steiner Tree Search | 2016 | SIGMOD | 5.3672389e-05 |
| 7,226 | Self-adaptive Graph Traversal on GPUs | 2021 | SIGMOD | 4.7910164e-05 |
| 11,266 | Approximating Probabilistic Group Steiner Trees in Graphs | 2023 | VLDB | 4.1905499e-05 |
| 11,497 | Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights | 2021 | VLDB | 4.1905499e-05 |
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| 11,972 | Work-Efficient Parallel Skyline Computation for the GPU | 2015 | VLDB | 4.1905499e-05 |
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| 7,752 | Efficiently Processing Joins and Grouped Aggregations on GPUs | 2025 | SIGMOD | 4.6558737e-05 |
| 8,167 | GTS: GPU-based Tree Index for Fast Similarity Search | 2024 | SIGMOD | 4.567569e-05 |
| 11,497 | Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights | 2021 | VLDB | 4.1905499e-05 |
| 5,697 | Efficient and Progressive Group Steiner Tree Search | 2016 | SIGMOD | 5.3672389e-05 |