HeraDB: Towards Real-time Analysis of Transaction-Centric HTAP with CPU-GPU Hybrid Query Execution
Summary: HeraDB targets transaction-centric HTAP, combining GPU scans of a stale column snapshot with CPU processing of fresh deltas to deliver current results while isolating OLTP performance. Timestamp filters and lightweight log synchronization avoid bulk PCIe transfers, yielding up to 11.1× higher TP and 5.9× higher AP throughput than Colibri. (summarized by gpt-6-luna on Oct 22 2026)
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Authors
- 1. Zeshun Peng (Northeastern University)
- 2. Qincheng Cai (Northeastern University)
- 3. Siyuan Wei (Northeastern University)
- 4. Weixing Zhou (Northeastern University)
- 5. Yanfeng Zhang (Northeastern University)
- 6. Yansong Zhang (Renmin University of China)
- 7. Guoliang Li (Tsinghua University)
- 8. Ge Yu (Northeastern University)
BibTeX Citation
@inproceedings{peng_sigmod27,
title = {{HeraDB: Towards Real-time Analysis of Transaction-Centric HTAP with CPU-GPU Hybrid Query Execution}},
author = {Peng, Zeshun and Cai, Qincheng and Wei, Siyuan and Zhou, Weixing and Zhang, Yanfeng and Zhang, Yansong and Li, Guoliang and Yu, Ge},
series = {{SIGMOD} '27},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3837115},
url = {https://dl.acm.org/doi/10.1145/3837115},
year = {2027}
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Showing 1 of 51 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,367 | Perseus: Achieving Strong Consistency and High Data Freshness for Scalable Geo-distributed HTAP | 2026 | SIGMOD | 5.0082317e-05 |
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