DPDPU: Data Processing with DPUs
Summary: DPDPU: a platform to holistically exploit Data Processing Units (DPUs) for cloud data processing, bridging the semantic gap between DPUs and data systems to improve performance and cost. Handles DPU heterogeneity with three dedicated engines—compute, networking, storage—and characterizes DPU capabilities, utilization challenges, prototype progress, and future plans. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiasheng Hu (University of Toronto)
- 2. Philip A. Bernstein (Microsoft)
- 3. Jialin Li (National University of Singapore)
- 4. Qizhen Zhang (University of Toronto)
BibTeX Citation
@inproceedings{hu_cidr25,
address = {Amsterdam, Netherlands},
series = {{CIDR} '25},
title = {{DPDPU: Data Processing with DPUs}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Hu, Jiasheng and Bernstein, Philip A. and Li, Jialin and Zhang, Qizhen},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,080 | LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics | 2025 | VLDB | 5.0830849e-05 |
| 10,807 | dpKernels: Harvesting DPU Compute Resources for Data-path Efficiency in Cloud Data Processing | 2026 | VLDB | 4.9793485e-05 |
| 11,436 | Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10 | 10,807 | dpKernels: Harvesting DPU Compute Resources for Data-path Efficiency in Cloud Data Processing | 2026 | VLDB |