Hardware-Efficient Data Imputation through DBMS Extensibility
Summary: Introduces Homoiconic Collection Processing (HCP), unifying relational data and executable expressions inside the DBMS for extensible data imputation. Shape-Wise Microbatching (SWM) makes BOSS performance-competitive, yielding 2–5 orders-of-magnitude gains over prior runtimes and imputation systems. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Hubert Mohr-Daurat (Imperial College London)
- 2. Georgios Theodorakis (Neo4j)
- 3. Holger Pirk (Imperial College London)
BibTeX Citation
@article{mohrdaurat_vldb24,
title = {{Hardware-Efficient Data Imputation through DBMS Extensibility}},
author = {Mohr-Daurat, Hubert and Theodorakis, Georgios and Pirk, Holger},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3497--3510},
doi = {10.14778/3681954.3682016},
url = {https://doi.org/10.14778/3681954.3682016},
year = {2024}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,146 | Cephalopod - Virtual Data Model Composition through Partial Query Translation | 2025 | CIDR | 4.9605343e-05 |
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