Aero: Adaptive Query Processing of ML Queries
Summary: Aero uses adaptive query processing for ML queries, coping with opaque UDF statistics and data-dependent plan choices. Dynamic predicate evaluation order, runtime UDF routing, and resource reallocation yield up to 6.4x speedups with no accuracy loss. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gaurav Tarlok Kakkar (Georgia Institute of Technology)
- 2. Jiashen Cao (Georgia Institute of Technology)
- 3. Aubhro Sengupta (Georgia Institute of Technology)
- 4. Joy Arulraj (Georgia Institute of Technology)
- 5. Hyesoon Kim (Georgia Institute of Technology)
BibTeX Citation
@inproceedings{kakkar_sigmod25,
title = {{Aero: Adaptive Query Processing of ML Queries}},
author = {Kakkar, Gaurav Tarlok and Cao, Jiashen and Sengupta, Aubhro and Arulraj, Joy and Kim, Hyesoon},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725408},
url = {https://dl.acm.org/doi/10.1145/3725408},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,653 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 5.142891e-05 |
| 9,700 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB | 5.1372261e-05 |
| 10,147 | Does A Fish Need a Bicycle? The Case for On-Chip NPUs in DBMS | 2026 | CIDR | 5.0691578e-05 |
| 10,867 | Sema: A High-performance System for LLM-based Semantic Query Processing | 2026 | VLDB | 4.9769913e-05 |
| 10,941 | IMLane: Composable Framework for Efficient AI Function Execution in Database Engine | 2026 | VLDB | 4.9769913e-05 |
| 11,017 | iPDB: SQL with ML and LLM Predicates (Towards a Database Engine for AI) | 2026 | VLDB | 4.9769913e-05 |
| 11,078 | KEN: An Execution Engine for Unstructured Database Systems | 2026 | VLDB | 4.9769913e-05 |
| 11,318 | Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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