doppioDB: A Hardware Accelerated Database
Summary: doppioDB extends MonetDB with hardware UDFs (HUDFs) to accelerate LIKE, REGEXP_LIKE, SKYLINE, and SGD. On Intel Xeon+FPGA with cache-coherent shared memory, HUDFs are schedulable hardware operators enabling seamless integration and workload-adaptive acceleration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. David Sidler
- 2. Zsolt István
- 3. Muhsen Owaida
- 4. Kaan Kara
- 5. Gustavo Alonso
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,033 | In-RDBMS Hardware Acceleration of Advanced Analytics | 2018 | VLDB | 6.5113267e-05 |
| 5,123 | Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning | 2019 | VLDB | 5.6796998e-05 |
| 6,404 | ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation | 2019 | VLDB | 5.0786954e-05 |
| 7,688 | Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads | 2022 | VLDB | 4.6772837e-05 |
| 8,048 | Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration | 2020 | VLDB | 4.5977431e-05 |
| 8,441 | Tackling Hardware/Software co-design from a database perspective | 2020 | CIDR | 4.5124343e-05 |
| 11,676 | doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases | 2019 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,202 | Accelerating Pattern Matching Queries in Hybrid CPU-FPGA Architectures | 2017 | SIGMOD | 4.5598793e-05 |
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