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Tackling Hardware/Software co-design from a database perspective
Summary: Introduces Enzian (experimental hardware) and doppioDB (research DB engine) to explore hardware/software co-design for data processing. Argues tight co-design enables new execution models, memory/layout optimizations, and system-level tradeoffs beyond reactive software fixes.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 367
- Venue
- CIDR
- Year
- 2020
- Pagerank
- 4.5124343e-05
- Overall Rank
- 8,441 | 41.28%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 1,852 |
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks |
2019 |
SIGMOD |
0.00010322492 |
| 1,896 |
YourSQL: A High-Performance Database System Leveraging In-Storage Computing |
2016 |
VLDB |
0.00010179224 |
| 3,880 |
Caribou: Intelligent Distributed Storage |
2017 |
VLDB |
6.6700303e-05 |
| 4,044 |
Megaphone: Latency-conscious state migration for distributed streaming dataflows |
2019 |
VLDB |
6.4995312e-05 |
| 4,602 |
Accelerating Raw Data Analysis with the ACCORDA Software and Hardware Architecture |
2019 |
VLDB |
6.0567387e-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 |
| 6,422 |
DPI: The Data Processing Interface for Modern Networks |
2019 |
CIDR |
5.0681154e-05 |
| 8,202 |
Accelerating Pattern Matching Queries in Hybrid CPU-FPGA Architectures |
2017 |
SIGMOD |
4.5598793e-05 |
| 8,423 |
doppioDB: A Hardware Accelerated Database |
2017 |
SIGMOD |
4.5163448e-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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| 7,038 |
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4.8546906e-05 |
| 10,714 |
Towards Designing Future-Proof Data Processing Systems |
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| 11,676 |
doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases |
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4.1945683e-05 |
| 12,019 |
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VLDB |
4.1945683e-05 |
| 4,484 |
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CIDR |
6.1475055e-05 |
| 8,423 |
doppioDB: A Hardware Accelerated Database |
2017 |
SIGMOD |
4.5163448e-05 |
| 6,953 |
COD: Database / Operating System Co-Design |
2013 |
CIDR |
4.8882519e-05 |
| 11,950 |
Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship |
2015 |
VLDB |
4.1945683e-05 |