Adaptive Code Generation for Data-Intensive Analytics
Summary: Adaptive Code Generation for Data-Intensive Analytics extends an open-source compiler with database-style query optimization to synthesize plans. Plans run on data chunks and adapt via feedback to switch later chunks, enabling adaptive performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wangda Zhang
- 2. Junyoung Kim
- 3. Kenneth A. Ross
- 4. Eric Sedlar
- 5. Lukas Stadler
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,930 | User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases | 2022 | VLDB | 5.8171482e-05 |
| 5,741 | Babelfish: Efficient Execution of Polyglot Queries | 2022 | VLDB | 5.3450701e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 37 of 37 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,333 | Parallelizing Extensible Query Optimizers | 2009 | SIGMOD | 5.1013149e-05 |
| 5,524 | Facilitating SQL Query Composition and Analysis | 2020 | SIGMOD | 5.4589341e-05 |
| 509 | Dynamic Query Evaluation Plans | 1989 | SIGMOD | 0.00021463676 |
| 4,373 | Just-in-time compilation for SQL query processing | 2013 | VLDB | 6.2365066e-05 |
| 342 | Optimization of Dynamic Query Evaluation Plans | 1994 | SIGMOD | 0.00026836424 |
| 701 | Building Efficient Query Engines in a High-Level Language | 2014 | VLDB | 0.00017893039 |
| 5,737 | Enabling Incremental Query Re-Optimization | 2016 | SIGMOD | 5.3459609e-05 |
| 4,952 | Designing an Open Framework for Query Optimization and Compilation | 2022 | VLDB | 5.806142e-05 |
| 2,383 | How to Architect a Query Compiler | 2016 | SIGMOD | 8.9198524e-05 |
| 5,734 | Evolution of a Compiling Query Engine | 2021 | VLDB | 5.3471832e-05 |