DBScholar

Back to papers

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
h293af3eb87553148
Venue
SIGMOD
Year
2026
Pagerank
5.1064323e-05
Overall Rank
9,836 | 34.07%
DOI
10.1145/3769755
PDF
Download (CC BY 4.0)

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
10,501 Bw-Graph: An Efficient Graph Storage System Harmonizing Topology-Aware Tree with Paged CSR 2026 SIGMOD 4.9605343e-05
Previous Page 1 / 1 Next

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 0.0012089097
22 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00056028465
2,934 What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines 2023 VLDB 7.8265774e-05
3,262 Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory 2020 VLDB 7.469821e-05
3,316 A Distributed Multi-GPU System for Fast Graph Processing 2018 VLDB 7.415249e-05
3,418 CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution 2024 VLDB 7.3032945e-05
3,796 GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs 2016 SIGMOD 6.9956706e-05
3,985 Massively Parallel Algorithms for Personalized PageRank 2021 VLDB 6.8649592e-05
3,988 Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme 2023 SIGMOD 6.8626164e-05
4,300 TurboGraph++: A Scalable and Fast Graph Analytics System 2018 SIGMOD 6.6633635e-05
5,193 CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor 2024 VLDB 6.2203717e-05
5,735 Cache-Efficient Fork-Processing Patterns on Large Graphs 2021 SIGMOD 5.9957538e-05
6,632 CAVE: Concurrency-Aware Graph Processing on SSDs 2024 SIGMOD 5.7111251e-05
6,751 Adaptive Asynchronous Parallelization of Graph Algorithms 2018 SIGMOD 5.6736025e-05
7,543 MiniGraph: Querying Big Graphs with a Single Machine 2023 VLDB 5.4817954e-05
9,062 TGraph: A Tensor-centric Graph Processing Framework 2025 SIGMOD 5.2140679e-05
9,322 Nezha: An Efficient Distributed Graph Processing System on Heterogeneous Hardware 2025 SIGMOD 5.1815882e-05
Previous Page 1 / 1 Next

Semantically Similar Papers