Sotabase

Career

· Assistant Professor, Computer And Data Science, University of Illinois Urbana-Champaign2024–
· Assistant Professor, Electrical And Computer Engineering, University of Illinois Urbana-Champaign2024–
· Researcher, Google DeepMind2023–
· J. Tinsley Oden Faculty Fellow, The University of Texas at Austin2023–2023
· Adjunct Professor, Computer Science, University of Illinois Urbana-Champaign2023–2024
· Adjunct Professor, Electrical And Computer Engineering, University of Illinois Urbana-Champaign2023–
· Assistant Professor, Coordinated Science Laboratory, University of Illinois Urbana-Champaign2023–
· Practicum Fellow, Argonne National Laboratory2021–2021
· Practicum Fellow, Berkeley Lab2019–2019
· Research Intern, Facebook AI Research Laboratory2017–2017
· Software Propulsion Engineer, SpaceX2015–2016
· Researcher, Massachusetts Institute of Technology Computer Science / Artificial Intelligence Lab (MIT-CSAIL)2014–2023
· Electrical Engineer, Naval Research Laboratory2013–2014
· Web Developer Security Researcher, Virginia Tech2012–2013

Publications (30)

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
arXiv.org · 2018
472
cited
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
Neural Information Processing Systems · 2020
111
cited
Polygeist: Raising C to Polyhedral MLIR
International Conference on Parallel Architectures and Compilation Techniques · 2021
81
cited
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
Conference on Machine Learning and Systems · 2020
80
cited
Reverse-Mode Automatic Differentiation and Optimization of GPU Kernels via Enzyme
International Conference for High Performance Computing, Networking, Storage and Analysis · 2021
80
cited
AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning
IEEE Symposium on Field-Programmable Custom Computing Machines · 2019
44
cited
Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation
International Conference for High Performance Computing, Networking, Storage and Analysis · 2022
31
cited
ProTuner: Tuning Programs with Monte Carlo Tree Search
arXiv.org · 2020
29
cited
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs
ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming · 2022
27
cited
The Next 700 Accelerated Layers
ACM Transactions on Architecture and Code Optimization (TACO) · 2019
18
cited
Tapir
ACM Transactions on Parallel Computing · 2019
16
cited
ComPile: A Large IR Dataset from Production Sources
arXiv.org · 2023
13
cited
Extracting Incentives from Black-Box Decisions
arXiv.org · 2019
9
cited
OpenMPIR: Implementing OpenMP Tasks with Tapir
LLVM-HPC@SC · 2017
9
cited
Polygeist: Affine C in MLIR
2021
9
cited
Enabling Transformers to Understand Low-Level Programs
IEEE Conference on High Performance Extreme Computing · 2022
6
cited
LiTM: A Lightweight Deterministic Software Transactional Memory System
PMAM@PPoPP · 2019
6
cited
Understanding Automatic Differentiation Pitfalls
arXiv.org · 2023
6
cited
Transparent Checkpointing for Automatic Differentiation of Program Loops Through Expression Transformations
International Conference on Conceptual Structures · 2023
4
cited
Computational Complexity of Arranging Music
arXiv.org · 2016
3
cited
Sotabase
William S. Moses | Researcher Profile | Sotabase | Sotabase