HW-SW Co-Design for Databases in the Age of AI-for-Systems
Summary: A panel on shifting databases from hardware-reactive software toward genuine HW–SW co-design, enabled by AI-for-Systems’ faster iteration cycles. It probes what co-design should mean and whether the DB community is organizationally prepared for it. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Monica Chiosa (Massachusetts Institute of Technology)
BibTeX Citation
@article{chiosa_vldb26,
title = {{HW-SW Co-Design for Databases in the Age of AI-for-Systems}},
author = {Chiosa, Monica},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4950--4952},
doi = {10.14778/3827998.3838709},
url = {https://doi.org/10.14778/3827998.3838709},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 215 | Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age | 2014 | SIGMOD | 0.00024598661 |
| 445 | Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores | 2015 | VLDB | 0.00018176701 |
| 680 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00014828697 |
| 1,590 | YourSQL: A High-Performance Database System Leveraging In-Storage Computing | 2016 | VLDB | 0.00010139329 |
| 5,360 | LeanStore: A High-Performance Storage Engine for NVMe SSDs | 2024 | VLDB | 6.1614422e-05 |
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