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Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs
Summary: Empirical study of near-network hardware acceleration on PCIe DPUs, quantifying how performance depends on data types, task/query configurations, and DPU reconfiguration overhead. Micro-benchmarks of partial offloads and host–DPU co-processing reveal throughput vs reconfiguration trade-offs and offer practical integration guidance for data systems.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 14213
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,856 | 24.48%
- DOI
-
10.14778/3773731.3773743
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
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Pagerank |
| 115 |
Eddies: Continuously Adaptive Query Processing |
2000 |
SIGMOD |
0.00046221215 |
| 156 |
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases |
2017 |
SIGMOD |
0.00040504295 |
| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
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0.00039180521 |
| 538 |
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2015 |
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0.00020678804 |
| 918 |
Socrates: The New SQL Server in the Cloud |
2019 |
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0.00015350181 |
| 1,284 |
Amazon Redshift Re-invented |
2022 |
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0.00012837822 |
| 1,377 |
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics |
2021 |
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0.00012296941 |
| 1,504 |
Analyzing and Mitigating Data Stalls in DNN Training |
2021 |
VLDB |
0.00011642333 |
| 2,067 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
9.6392739e-05 |
| 2,358 |
PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers |
2021 |
SIGMOD |
8.9617346e-05 |
| 4,514 |
An Empirical Evaluation of Columnar Storage Formats |
2024 |
VLDB |
6.1204636e-05 |
| 5,067 |
Not your Grandpa's SSD: The Era of Co-Designed Storage Devices |
2021 |
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5.7215985e-05 |
| 5,092 |
The Case for Network-Accelerated Query Processing |
2019 |
CIDR |
5.7027353e-05 |
| 5,562 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
5.4331334e-05 |
| 6,114 |
Database Processing-in-Memory: An Experimental Study |
2020 |
VLDB |
5.204248e-05 |
| 6,223 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1496398e-05 |
| 7,099 |
PIM-tree: A Skew-resistant Index for Processing-in-Memory |
2023 |
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4.8326366e-05 |
| 7,810 |
Databases on Modern Networks: A Decade of Research That Now Comes into Practice |
2023 |
VLDB |
4.6447306e-05 |
| 8,071 |
P4DB - The Case for In-Network OLTP |
2022 |
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4.5932891e-05 |
| 8,361 |
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools |
2023 |
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4.5368524e-05 |
| 8,602 |
DDS: DPU-optimized Disaggregated Storage |
2024 |
VLDB |
4.4874893e-05 |
| 8,649 |
Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs |
2024 |
SIGMOD |
4.4762914e-05 |
| 9,142 |
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2025 |
CIDR |
4.3385595e-05 |
| 9,620 |
Deploying Computational Storage for HTAP DBMSs Takes More Than Just Computation Offloading |
2023 |
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4.3169852e-05 |
| 9,826 |
Exploiting Structure in Regular Expression Queries |
2023 |
SIGMOD |
4.2751057e-05 |
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