Learning Algorithms for Automatic Data Structure Design
Summary: Learning-based search for automatic key-value data-structure design guided by workload specs, navigating a design space of ~10^100 possibilities. Outputs an abstract syntax tree for code generation, delivering near-optimal designs in seconds. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Demi Guo (Harvard University)
BibTeX Citation
@inproceedings{guo_sigmod21,
title = {{Learning Algorithms for Automatic Data Structure Design}},
author = {Guo, Demi},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3450570},
url = {https://dl.acm.org/doi/10.1145/3448016.3450570},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 21 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00056760516 |
| 43 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00046060254 |
| 446 | Monkey: Optimal Navigable Key-Value Store | 2017 | SIGMOD | 0.00018332392 |
| 512 | Tree Indexing on Solid State Drives | 2010 | VLDB | 0.00017196795 |
| 1,112 | Cache-Oblivious String B-trees | 2006 | PODS | 0.00012125766 |
| 1,616 | The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models | 2018 | SIGMOD | 0.00010213691 |
| 1,942 | Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn | 2019 | CIDR | 9.4451535e-05 |
| 2,036 | Bed-Tree: An All-Purpose Index Structure for String Similarity Search Based on Edit Distance | 2010 | SIGMOD | 9.2782094e-05 |
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