Self-adaptive Graph Traversal on GPUs
Summary: Self-adaptive graph traversal on GPUs; no preprocessing; operates on universal graphs. Proposes Tiled Partition and Resident Tile Stealing for runtime GPU use, plus Sampling-based Reordering for memory efficiency; beats preprocessing-based methods across GPU deployments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mo Sha
- 2. Yuchen Li
- 3. Kian-Lee Tan
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,079 | Fast Optimal Group Steiner Tree Search using GPUs | 2026 | SIGMOD | 4.1905499e-05 |
| 10,320 | Efficient Partition-based Approaches for Diversified Top-k Subgraph Matching | 2026 | VLDB | 4.1905499e-05 |
| 10,323 | Efficient Temporal Edge-Core Maintenance in Streaming Graphs | 2026 | VLDB | 4.1905499e-05 |
| 10,951 | gSWORD: GPU-accelerated Sampling for Subgraph Counting | 2024 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 327 | The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing | 2018 | VLDB | 0.00027312381 |
| 1,138 | Traversing Large Graphs on GPUs with Unified Memory | 2020 | VLDB | 0.00013715114 |
| 1,670 | Speedup Graph Processing by Graph Ordering | 2016 | SIGMOD | 0.00010944596 |
| 3,235 | iBFS: Concurrent Breadth-First Search on GPUs | 2016 | SIGMOD | 7.3298263e-05 |
| 3,488 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | 2020 | SIGMOD | 7.0460627e-05 |
| 3,674 | A Distributed Multi-GPU System for Fast Graph Processing | 2018 | VLDB | 6.8502146e-05 |
| 4,525 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.1087614e-05 |
| 4,578 | Accelerating Dynamic Graph Analytics on GPUs | 2018 | VLDB | 6.0651154e-05 |
| 5,693 | Parallel Personalized PageRank on Dynamic Graphs | 2018 | VLDB | 5.3683002e-05 |
| 5,711 | EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs | 2021 | VLDB | 5.3603407e-05 |
| 7,711 | Accelerating Exact Constrained Shortest Paths on GPUs | 2021 | VLDB | 4.6670758e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,861 | Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs | 2020 | VLDB | 4.2642656e-05 |
| 1,977 | Towards Effective Partition Management for Large Graphs | 2012 | SIGMOD | 9.8780062e-05 |
| 4,146 | Accelerating Triangle Counting on GPU | 2021 | SIGMOD | 6.4065776e-05 |
| 5,570 | Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses | 2024 | VLDB | 5.4280174e-05 |
| 3,488 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | 2020 | SIGMOD | 7.0460627e-05 |
| 5,811 | CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor | 2024 | VLDB | 5.3168243e-05 |
| 4,578 | Accelerating Dynamic Graph Analytics on GPUs | 2018 | VLDB | 6.0651154e-05 |
| 5,711 | EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs | 2021 | VLDB | 5.3603407e-05 |
| 1,138 | Traversing Large Graphs on GPUs with Unified Memory | 2020 | VLDB | 0.00013715114 |
| 4,525 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.1087614e-05 |