GPU-based Graph Traversal on Compressed Graphs
Summary: GPU-based graph traversal on compressed graphs enables processing graphs larger than device memory. Introduces Two-Phase Traversal and Task-Stealing to mitigate SIMT divergence and workload imbalance, plus Warp-centric Decoding and Residual Segmentation for power-law graphs, achieving 2x–18x compression with competitive efficiency. (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 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,676 | Speedup Graph Processing by Graph Ordering | 2016 | SIGMOD | 0.00010946423 |
| 3,233 | iBFS: Concurrent Breadth-First Search on GPUs | 2016 | SIGMOD | 7.3361904e-05 |
| 3,670 | A Distributed Multi-GPU System for Fast Graph Processing | 2018 | VLDB | 6.8567044e-05 |
| 3,834 | GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs | 2016 | SIGMOD | 6.7173094e-05 |
| 4,254 | Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining | 2011 | VLDB | 6.3213177e-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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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,138 | Traversing Large Graphs on GPUs with Unified Memory | 2020 | VLDB | 0.00013727765 |
| 4,168 | Accelerating Triangle Counting on GPU | 2021 | SIGMOD | 6.391271e-05 |
| 5,699 | EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs | 2021 | VLDB | 5.3654927e-05 |
| 3,975 | Accelerating Truss Decomposition on Heterogeneous Processors | 2020 | VLDB | 6.5736847e-05 |
| 9,072 | GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations | 2015 | VLDB | 4.4024417e-05 |
| 5,040 | Tile-based Lightweight Integer Compression in GPU | 2022 | SIGMOD | 5.7425187e-05 |
| 1,103 | Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture | 2021 | VLDB | 0.00014025101 |
| 5,799 | CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor | 2024 | VLDB | 5.3219334e-05 |
| 7,225 | Self-adaptive Graph Traversal on GPUs | 2021 | SIGMOD | 4.7956162e-05 |
| 6,985 | CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression | 2023 | SIGMOD | 4.8729387e-05 |