doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases
Summary: Hardware-accelerated ML integration in a DBMS. Demonstrates two complementary approaches in doppioDB 2.0: coordinate-descent training of generalized linear models on compressed/encrypted column-stores, and bitwise weaving index enabled SGD on low-precision data, exposed via SQL. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Kaan Kara (ETH Zurich)
- 2. Zeke Wang (ETH Zurich)
- 3. Ce Zhang (ETH Zurich)
- 4. Gustavo Alonso (ETH Zurich)
BibTeX Citation
@article{kara_vldb19,
title = {{doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases}},
author = {Kara, Kaan and Wang, Zeke and Zhang, Ce and Alonso, Gustavo},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1818--1821},
doi = {10.14778/3352063.3352074},
url = {https://doi.org/10.14778/3352063.3352074},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,341 | Tackling Hardware/Software co-design from a database perspective | 2020 | CIDR | 5.4486102e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 536 | Learning Linear Regression Models over Factorized Joins | 2016 | SIGMOD | 0.0001693369 |
| 715 | Learning Generalized Linear Models Over Normalized Data | 2015 | SIGMOD | 0.00014655327 |
| 870 | BitWeaving: Fast Scans for Main Memory Data Processing | 2013 | SIGMOD | 0.0001350293 |
| 3,682 | In-RDBMS Hardware Acceleration of Advanced Analytics | 2018 | VLDB | 7.2035518e-05 |
| 4,798 | Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning | 2019 | VLDB | 6.5024772e-05 |
| 4,840 | FPGA-based Data Partitioning | 2017 | SIGMOD | 6.483442e-05 |
| 6,143 | ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation | 2019 | VLDB | 5.9622615e-05 |
| 7,763 | MLBench: Benchmarking Machine Learning Services Against Human Experts | 2018 | VLDB | 5.5500928e-05 |
| 8,199 | Accelerating Pattern Matching Queries in Hybrid CPU-FPGA Architectures | 2017 | SIGMOD | 5.4686907e-05 |
| 8,425 | doppioDB: A Hardware Accelerated Database | 2017 | SIGMOD | 5.426661e-05 |
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