CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor
Summary: CGgraph extracts a reusable subgraph to avoid GPU memory over-subscription, loading it once for multi-iteration reuse, and employs on-demand CPU–GPU task allocation to balance co-processing. It outperforms 7 prior systems up to 10× and rivals high-end servers on commodity co-processors. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pengjie Cui (Northeastern University)
- 2. Haotian Liu (Southern University of Science and Technology)
- 3. Bo Tang (Southern University of Science and Technology)
- 4. Ye Yuan (Beijing Institute of Technology)
BibTeX Citation
@article{cui_vldb24,
title = {{CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor}},
author = {Cui, Pengjie and Liu, Haotian and Tang, Bo and Yuan, Ye},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {6},
pages = {1405--1417},
doi = {10.14778/3648160.3648179},
url = {https://doi.org/10.14778/3648160.3648179},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 487 | From "Think Like a Vertex" to "Think Like a Graph" | 2014 | VLDB | 0.00017645653 |
| 927 | Real-time Constrained Cycle Detection in Large Dynamic Graphs | 2018 | VLDB | 0.00013161079 |
| 1,511 | Speedup Graph Processing by Graph Ordering | 2016 | SIGMOD | 0.00010538011 |
| 2,060 | Traversing Large Graphs on GPUs with Unified Memory | 2020 | VLDB | 9.2454783e-05 |
| 3,499 | Unicorn: A System for Searching the Social Graph | 2013 | VLDB | 7.362886e-05 |
| 3,740 | GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs | 2016 | SIGMOD | 7.1593902e-05 |
| 4,157 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.8629037e-05 |
| 6,408 | CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression | 2023 | SIGMOD | 5.8842681e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,607 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | 2020 | SIGMOD |
| 2 | 1,911 | Fast Iterative Graph Computation with Block Updates | 2013 | VLDB |
| 3 | 4,323 | TurboGraph++: A Scalable and Fast Graph Analytics System | 2018 | SIGMOD |
| 4 | 4,171 | Accelerating Dynamic Graph Analytics on GPUs | 2018 | VLDB |
| 5 | 1,875 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 6 | 10,950 | Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing | 2025 | VLDB |
| 7 | 7,380 | MiniGraph: Querying Big Graphs with a Single Machine | 2023 | VLDB |
| 8 | 3,642 | CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution | 2024 | VLDB |
| 9 | 9,616 | ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework | 2026 | SIGMOD |
| 10 | 4,157 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD |