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Geoffrey X. Yu
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Journal Articles
- 2024
- [j3]Geoffrey X. Yu, Ziniu Wu, Ferdinand Kossmann, Tianyu Li, Markos Markakis, Amadou Latyr Ngom, Samuel Madden, Tim Kraska:
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD. Proc. VLDB Endow. 17(11): 3629-3643 (2024) - 2023
- [j2]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): 3293-3301 (2023) - 2022
- [j1]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): 99-112 (2022)
Conference and Workshop Papers
- 2021
- [c2]Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko:
Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training. USENIX ATC 2021: 503-521 - 2020
- [c1]Geoffrey X. Yu, Tovi Grossman, Gennady Pekhimenko:
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training. UIST 2020: 126-139
Informal and Other Publications
- 2024
- [i3]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 abs/2407.15363 (2024) - 2021
- [i2]Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko:
Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach. CoRR abs/2102.00527 (2021) - 2020
- [i1]Geoffrey X. Yu, Tovi Grossman, Gennady Pekhimenko:
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training. CoRR abs/2008.06798 (2020)
Coauthor Index
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