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ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework

Summary: ACGraph: an asynchronous SSD-optimized out-of-core graph engine that eliminates iteration barriers to cut read/work amplification and synchronization stalls. Uses a dynamic block-centric priority scheduler, online asynchronous worklist, pipelined I/O+compute and hybrid storage to substantially improve runtime and I/O efficiency. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7541
Venue
SIGMOD
Year
2026
Pagerank
5.2434488e-05
Overall Rank
9,616 | 34.03%
DOI
10.1145/3769755

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod26,
        title = {{ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework}},
        author = {Chen, Dechuang and Wang, Sibo and Guo, Qintian},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3769755},
        url = {https://dl.acm.org/doi/10.1145/3769755},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,207 Bw-Graph: An Efficient Graph Storage System Harmonizing Topology-Aware Tree with Paged CSR 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 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
20 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00056944564
3,001 What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines 2023 VLDB 7.8673493e-05
3,175 Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory 2020 VLDB 7.6656917e-05
3,303 A Distributed Multi-GPU System for Fast Graph Processing 2018 VLDB 7.5405596e-05
3,642 CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution 2024 VLDB 7.2312616e-05
3,740 GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs 2016 SIGMOD 7.1593902e-05
3,892 Massively Parallel Algorithms for Personalized PageRank 2021 VLDB 7.0430255e-05
4,323 TurboGraph++: A Scalable and Fast Graph Analytics System 2018 SIGMOD 6.7608401e-05
4,714 Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme 2023 SIGMOD 6.5497309e-05
5,075 CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor 2024 VLDB 6.3740128e-05
5,612 Cache-Efficient Fork-Processing Patterns on Large Graphs 2021 SIGMOD 6.1501992e-05
6,490 CAVE: Concurrency-Aware Graph Processing on SSDs 2024 SIGMOD 5.8643667e-05
6,599 Adaptive Asynchronous Parallelization of Graph Algorithms 2018 SIGMOD 5.8250554e-05
7,380 MiniGraph: Querying Big Graphs with a Single Machine 2023 VLDB 5.6288836e-05
8,873 TGraph: A Tensor-centric Graph Processing Framework 2025 SIGMOD 5.3539725e-05
9,605 Nezha: An Efficient Distributed Graph Processing System on Heterogeneous Hardware 2025 SIGMOD 5.247855e-05
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