Geoffrey X. Yu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Data Processing

Training Algorithm

Skyline Queries

Top Venues

Proc. VLDB Endow.

USENIX Annual Technical Conference

Publications

Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Samuel Madden, Tim Kraska
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD - Extended Version. CoRR (2024)
Tim Kraska, Tianyu Li, Samuel Madden, Markos Markakis, Amadou Ngom, Ziniu Wu, Geoffrey X. Yu
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes. Proc. VLDB Endow. 16 (11) (2023)
Geoffrey X. Yu, Markos Markakis, Andreas Kipf, Per-Åke Larson, Umar Farooq Minhas, Tim Kraska
TreeLine: An Update-In-Place Key-Value Store for Modern Storage. Proc. VLDB Endow. 16 (1) (2022)
Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko
Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach. CoRR (2021)
Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko
Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training. USENIX Annual Technical Conference (2021)
Geoffrey X. Yu, Tovi Grossman, Gennady Pekhimenko
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training. CoRR (2020)
Geoffrey X. Yu, Tovi Grossman, Gennady Pekhimenko
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training. UIST (2020)