Automating Vectorized Distributed Graph Computation
Summary: AutoMI automatically converts vertex-centric graph algorithms into vectorized multi-instance versions to share computation across inputs. An algebraic framework characterizes optimal vectorization and SIMD applicability, yielding up to ~30x speedups over serial and outperforming hand-tuned baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wenyue Zhao (University of Edinburgh)
- 2. Yang Cao (University of Edinburgh)
- 3. Peter Buneman (University of Edinburgh)
- 4. Jia Li (Huawei)
- 5. Nikos Ntarmos (Huawei)
BibTeX Citation
@inproceedings{zhao_sigmod24,
title = {{Automating Vectorized Distributed Graph Computation}},
author = {Zhao, Wenyue and Cao, Yang and Buneman, Peter and Li, Jia and Ntarmos, Nikos},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3698833},
url = {https://dl.acm.org/doi/10.1145/3698833},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,939 | BiLink: Bidirectional Meta-paths for Link Discovery in Billion-Scale Heterogeneous Graphs | 2026 | VLDB | 4.9793485e-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.
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