What Makes a Good Physical Plan? — Experiencing Hardware-Conscious Query Optimization with Candomble
Summary: Proposes Candomble, an interactive, touch-based environment for hardware-conscious query optimization. Humans act as live physical optimizers, rewriting GPU/CPU plans and extracting rules for a downstream rule-based planner. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Holger Pirk (Massachusetts Institute of Technology)
- 2. Oscar Moll (Massachusetts Institute of Technology)
- 3. Sam Madden (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{pirk_sigmod16,
title = {{What Makes a Good Physical Plan? — Experiencing Hardware-Conscious Query Optimization with Candomble}},
author = {Pirk, Holger and Moll, Oscar and Madden, Sam},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2899410},
url = {https://dl.acm.org/doi/10.1145/2882903.2899410},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,881 | MOCHA: A Tool for Visualizing Impact of Operator Choices in Query Execution Plans for Database Education | 2022 | VLDB | 6.0529753e-05 |
| 9,846 | QO-Insight: Inspecting Steered Query Optimizers | 2023 | VLDB | 5.2094004e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 23 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00054886415 |
| 534 | Building Efficient Query Engines in a High-Level Language | 2014 | VLDB | 0.00017046514 |
| 1,469 | Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware | 2016 | VLDB | 0.00010678751 |
| 2,094 | Tupleware: "Big" Data, Big Analytics, Small Clusters | 2015 | CIDR | 9.1819738e-05 |
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