Accelerating Exact Constrained Shortest Paths on GPUs
Summary: Vine accelerates exact CSP on GPUs by parallelizing labeling. Two-level pruning exploiting GPU memory and adaptive parallelism tuned to degree of parallelism deliver 18x CPU speedup and competitive exact performance vs approximate/indexed methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shengliang Lu
- 2. Bingsheng He
- 3. Yuchen Li
- 4. Hao Fu
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,158 | GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection | 2021 | SIGMOD | 4.8143783e-05 |
| 7,225 | Self-adaptive Graph Traversal on GPUs | 2021 | SIGMOD | 4.7956162e-05 |
| 9,205 | FHL-Cube: Multi-Constraint Shortest Path Querying with Flexible Combination of Constraints | 2022 | VLDB | 4.3736393e-05 |
| 10,874 | A CPU-GPU Hybrid Labelling Algorithm for Massive Shortest Distance Queries on Road Networks | 2025 | VLDB | 4.1945683e-05 |
| 11,177 | ClipSim: A GPU-friendly Parallel Framework for Single-Source SimRank with Accuracy Guarantee | 2023 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,188 | Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks | 2017 | VLDB | 9.3372315e-05 |
| 3,641 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | 2020 | SIGMOD | 6.8884895e-05 |
| 4,522 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.1146374e-05 |
| 4,577 | Accelerating Dynamic Graph Analytics on GPUs | 2018 | VLDB | 6.0709631e-05 |
| 5,680 | Parallel Personalized PageRank on Dynamic Graphs | 2018 | VLDB | 5.3734643e-05 |
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