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Daniel Bourgeois
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2020 – today
- 2024
- [i4]Zhimin Ding, Jiawen Yao, Brianna Barrow, Tania Lorido-Botran, Christopher M. Jermaine, Yuxin Tang, Jiehui Li, Xinyu Yao, Sleem Mahmoud Abdelghafar, Daniel Bourgeois:
TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM Offload. CoRR abs/2405.16283 (2024) - [i3]Daniel Bourgeois, Zhimin Ding, Dimitrije Jankov, Jiehui Li, Sleem Mahmoud Abdelghafar, Yuxin Tang, Jiawen Yao, Xinyu Yao, Chris Jermaine:
EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution. CoRR abs/2410.02682 (2024) - 2023
- [c2]Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine:
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. ICML 2023: 33581-33598 - [i2]Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine:
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. CoRR abs/2306.00088 (2023) - 2021
- [j1]Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine:
Tensor Relational Algebra for Distributed Machine Learning System Design. Proc. VLDB Endow. 14(8): 1338-1350 (2021) - 2020
- [i1]Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine:
Tensor Relational Algebra for Machine Learning System Design. CoRR abs/2009.00524 (2020)
2010 – 2019
- 2015
- [c1]Hartmut Kaiser, Thomas Heller, Daniel Bourgeois, Dietmar Fey:
Higher-level parallelization for local and distributed asynchronous task-based programming. ESPM@SC 2015: 29-37
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