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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
- 4.5081086e-05
- Overall Rank
- 8,432 | 41.40%
- 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 |
| 1,834 |
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks |
2019 |
SIGMOD |
0.00010364718 |
| 1,897 |
YourSQL: A High-Performance Database System Leveraging In-Storage Computing |
2016 |
VLDB |
0.00010172286 |
| 3,879 |
Caribou: Intelligent Distributed Storage |
2017 |
VLDB |
6.6657548e-05 |
| 4,051 |
Megaphone: Latency-conscious state migration for distributed streaming dataflows |
2019 |
VLDB |
6.4932782e-05 |
| 4,603 |
Accelerating Raw Data Analysis with the ACCORDA Software and Hardware Architecture |
2019 |
VLDB |
6.0515823e-05 |
| 5,124 |
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning |
2019 |
VLDB |
5.6747536e-05 |
| 6,400 |
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation |
2019 |
VLDB |
5.0739311e-05 |
| 6,418 |
DPI: The Data Processing Interface for Modern Networks |
2019 |
CIDR |
5.063249e-05 |
| 8,201 |
Accelerating Pattern Matching Queries in Hybrid CPU-FPGA Architectures |
2017 |
SIGMOD |
4.5555217e-05 |
| 8,417 |
doppioDB: A Hardware Accelerated Database |
2017 |
SIGMOD |
4.5120193e-05 |
| 11,681 |
doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases |
2019 |
VLDB |
4.1905499e-05 |
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| Overall Rank |
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Pagerank |
| 12,173 |
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2011 |
CIDR |
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| 12,071 |
Microsoft SQL Server’s Integrated Database Approach for Modern Applications and Hardware |
2013 |
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4.1905499e-05 |
| 7,038 |
Demonstrating Efficient Query Processing in Heterogeneous Environments |
2014 |
SIGMOD |
4.8500241e-05 |
| 10,721 |
Towards Designing Future-Proof Data Processing Systems |
2025 |
VLDB |
4.1905499e-05 |
| 11,681 |
doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases |
2019 |
VLDB |
4.1905499e-05 |
| 12,027 |
When Data Management Systems Meet Approximate Hardware: Challenges and Opportunities |
2014 |
VLDB |
4.1905499e-05 |
| 4,482 |
The bionic DBMS is coming, but what will it look like? |
2013 |
CIDR |
6.1431623e-05 |
| 8,417 |
doppioDB: A Hardware Accelerated Database |
2017 |
SIGMOD |
4.5120193e-05 |
| 6,878 |
COD: Database / Operating System Co-Design |
2013 |
CIDR |
4.893966e-05 |
| 11,958 |
Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship |
2015 |
VLDB |
4.1905499e-05 |