The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models
Summary: Introduces the Data Calculator, a design engine for data structures built from fine-grained layout primitives. It uses learned cost models with first-principles design to synthesize and predict performance of arbitrary structures without building them. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Stratos Idreos (Harvard University)
- 2. Kostas Zoumpatianos (Harvard University)
- 3. Brian Hentschel (Harvard University)
- 4. Michael S. Kester (Harvard University)
- 5. Demi Guo (Harvard University)
BibTeX Citation
@inproceedings{idreos_sigmod18,
title = {{The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models}},
author = {Idreos, Stratos and Zoumpatianos, Kostas and Hentschel, Brian and Kester, Michael S. and Guo, Demi},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3199671},
url = {https://dl.acm.org/doi/10.1145/3183713.3199671},
year = {2018}
}
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