ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation
Summary: ColumnML integrates ML in a column-store in-memory DBMS via coordinate-descent on columnar data. It delivers near-linear multi-core scaling (up to 14 cores) and CPU+FPGA hybrid acceleration for on-the-fly data transformation, while preserving compression. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kaan Kara (ETH Zurich)
- 2. Ken Eguro (Microsoft)
- 3. Ce Zhang (ETH Zurich)
- 4. Gustavo Alonso (ETH Zurich)
BibTeX Citation
@article{kara_vldb19,
title = {{ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation}},
author = {Kara, Kaan and Eguro, Ken and Zhang, Ce and Alonso, Gustavo},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {4},
pages = {348--361},
doi = {10.14778/3297753.3297756},
url = {https://doi.org/10.14778/3297753.3297756},
year = {2019}
}
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