anagodb: Offering Massive Parallelism for Database Engine
Summary: anagodb - a research prototype - implements OoODE to massively parallelize analytical queries via recursive task decomposition. Cloud-based demo with a visual client reports progress and hardware metrics, illustrating strong hardware utilization and speedups for selective analytics. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuto Hayamizu (University of Tokyo)
- 2. Ryoji Kawamichi (University of Tokyo)
- 3. Tsuyoshi Ozawa (University of Tokyo)
- 4. Masaru Kitsuregawa (University of Tokyo)
- 5. Kazuo Goda (Research Organization of Information and Systems; University of Tokyo)
BibTeX Citation
@inproceedings{hayamizu_sigmod25,
title = {{anagodb: Offering Massive Parallelism for Database Engine}},
author = {Hayamizu, Yuto and Kawamichi, Ryoji and Ozawa, Tsuyoshi and Kitsuregawa, Masaru and Goda, Kazuo},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725079},
url = {https://dl.acm.org/doi/10.1145/3722212.3725079},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 241 | Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age | 2014 | SIGMOD | 0.00023654664 |
| 1,977 | HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines | 2019 | VLDB | 9.3641101e-05 |
| 6,255 | Elastic Pipelining in an In-Memory Database Cluster | 2016 | SIGMOD | 5.9399698e-05 |
| 7,915 | Krypton: Real-time Serving and Analytical SQL Engine at ByteDance | 2023 | VLDB | 5.5181056e-05 |
| 10,096 | Out-of-order Execution of Database Queries | 2020 | VLDB | 5.1523392e-05 |
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