David E. Cohen

According to our database, David E. Cohen authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AutoSteer: Learned Query Optimization for Any SQL Database.

Christoph Anneser, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus

Proc. VLDB Endow., 2023

QO-Insight: Inspecting Steered Query Optimizers.

Christoph Anneser, Mario Petruccelli, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus, Alfons Kemper

Proc. VLDB Endow., 2023

The Gluten Open-Source Software Project: Modernizing Java-based Query Engines for the Lakehouse Era.

Akash Shankaran, George Gu, Weiting Chen, Binwei Yang, Chidamber Kulkarni, Mark Rambacher, Nesime Tatbul, David E. Cohen

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

2022

Self-Organizing Data Containers.

Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory.

Xinjing Zhou, Joy Arulraj, Andrew Pavlo, David E. Cohen

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Large-scale in-memory analytics on Intel^® Optane^™ DC persistent memory.

Anil Shanbhag, Nesime Tatbul, David E. Cohen, Samuel Madden

Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020