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David E. Cohen
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Journal Articles
- 2023
- [j2]Christoph Anneser, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus:
AutoSteer: Learned Query Optimization for Any SQL Database. Proc. VLDB Endow. 16(12): 3515-3527 (2023) - [j1]Christoph Anneser, Mario Petruccelli, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus, Alfons Kemper:
QO-Insight: Inspecting Steered Query Optimizers. Proc. VLDB Endow. 16(12): 3922-3925 (2023)
Conference and Workshop Papers
- 2023
- [c4]Akash Shankaran, George Gu, Weiting Chen, Binwei Yang, Chidamber Kulkarni, Mark Rambacher, Nesime Tatbul, David E. Cohen:
The Gluten Open-Source Software Project: Modernizing Java-based Query Engines for the Lakehouse Era. VLDB Workshops 2023 - 2022
- [c3]Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul:
Self-Organizing Data Containers. CIDR 2022 - 2021
- [c2]Xinjing Zhou, Joy Arulraj, Andrew Pavlo, David E. Cohen:
Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory. SIGMOD Conference 2021: 2195-2207 - 2020
- [c1]Anil Shanbhag, Nesime Tatbul, David E. Cohen, Samuel Madden:
Large-scale in-memory analytics on Intel® Optane™ DC persistent memory. DaMoN 2020: 4:1-4:8
Coauthor Index
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