Higher-level parallelization for local and distributed asynchronous task-based programming. - Hartmut Kaiser; Thomas Heller; Daniel Bourgeois; Dietmar Fey (ESPM@SC, 2015)

Tensor Relational Algebra for Machine Learning System Design. - Binhang Yuan; Dimitrije Jankov; Jia Zou 001; Yuxin Tang; Daniel Bourgeois; Chris Jermaine (CoRR, 2020)

Tensor Relational Algebra for Distributed Machine Learning System Design. - Binhang Yuan; Dimitrije Jankov; Jia Zou 001; Yuxin Tang; Daniel Bourgeois; Chris Jermaine (Proc. VLDB Endow., 2021)

Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. - Yuxin Tang; Zhimin Ding; Dimitrije Jankov; Binhang Yuan; Daniel Bourgeois; Chris Jermaine (ICML, 2023)

TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM Offload. - Zhimin Ding; Jiawen Yao; Brianna Barrow; Tania Lorido-Botran; Christopher M. Jermaine; Yuxin Tang; Jiehui Li; Xinyu Yao; Sleem Mahmoud Abdelghafar; Daniel Bourgeois (CoRR, 2024)

EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution. - Daniel Bourgeois; Zhimin Ding; Dimitrije Jankov; Jiehui Li; Sleem Mahmoud Abdelghafar; Yuxin Tang; Jiawen Yao; Xinyu Yao; Chris Jermaine (Proc. VLDB Endow., 2025)

DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs. - Xinyu Yao; Daniel Bourgeois; Abhinav Jain 001; Yuxin Tang; Jiawen Yao; Zhimin Ding; Arlei Silva; Chris Jermaine (CoRR, 2025)