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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
- 14214
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,860 | 24.53%
- DOI
-
10.14778/3773731.3773743
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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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| 116 |
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2000 |
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0.00046191288 |
| 156 |
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases |
2017 |
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0.00040580118 |
| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
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0.00039408116 |
| 536 |
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2015 |
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0.00020651621 |
| 914 |
Socrates: The New SQL Server in the Cloud |
2019 |
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0.00015370799 |
| 1,273 |
Amazon Redshift Re-invented |
2022 |
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0.00012870386 |
| 1,356 |
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics |
2021 |
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0.00012409986 |
| 1,500 |
Analyzing and Mitigating Data Stalls in DNN Training |
2021 |
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0.00011636174 |
| 2,072 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
9.6300019e-05 |
| 2,337 |
PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers |
2021 |
SIGMOD |
9.0092781e-05 |
| 4,516 |
An Empirical Evaluation of Columnar Storage Formats |
2024 |
VLDB |
6.1146215e-05 |
| 5,063 |
Not your Grandpa's SSD: The Era of Co-Designed Storage Devices |
2021 |
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5.7170891e-05 |
| 5,094 |
The Case for Network-Accelerated Query Processing |
2019 |
CIDR |
5.6972533e-05 |
| 5,571 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
5.4279553e-05 |
| 6,116 |
Database Processing-in-Memory: An Experimental Study |
2020 |
VLDB |
5.1995375e-05 |
| 6,220 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1446966e-05 |
| 7,097 |
PIM-tree: A Skew-resistant Index for Processing-in-Memory |
2023 |
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4.8280402e-05 |
| 7,816 |
Databases on Modern Networks: A Decade of Research That Now Comes into Practice |
2023 |
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4.6402756e-05 |
| 8,075 |
P4DB - The Case for In-Network OLTP |
2022 |
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4.5888845e-05 |
| 8,357 |
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools |
2023 |
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4.5325029e-05 |
| 8,600 |
DDS: DPU-optimized Disaggregated Storage |
2024 |
VLDB |
4.4831875e-05 |
| 8,647 |
Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs |
2024 |
SIGMOD |
4.4720005e-05 |
| 9,143 |
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2025 |
CIDR |
4.3344018e-05 |
| 9,620 |
Deploying Computational Storage for HTAP DBMSs Takes More Than Just Computation Offloading |
2023 |
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4.3128484e-05 |
| 9,825 |
Exploiting Structure in Regular Expression Queries |
2023 |
SIGMOD |
4.2710095e-05 |
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