William S. Moses

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Intermediate Representation

Monte Carlo Tree Search

Reinforcement Learning

Top Venues

Publications

Ivan R. Ivanov, Joachim Meyer, Aiden Grossman, William S. Moses, Johannes Doerfert
Input-Gen: Guided Generation of Stateful Inputs for Testing, Tuning, and Training. CoRR (2024)
Ivan R. Ivanov, Oleksandr Zinenko, Jens Domke, Toshio Endo, William S. Moses
Retargeting and Respecializing GPU Workloads for Performance Portability. CGO (2024)
Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose Manuel Monsalve Diaz, Mircea Trofin, Johannes Doerfert
ComPile: A Large IR Dataset from Production Sources. CoRR (2023)
William S. Moses, Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert, Oleksandr Zinenko
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs. PPoPP (2023)
Jan Hückelheim, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët
Understanding Automatic Differentiation Pitfalls. CoRR (2023)
Michel Schanen, Sri Hari Krishna Narayanan, Sarah Williamson, Valentin Churavy, William S. Moses, Ludger Paehler
Transparent Checkpointing for Automatic Differentiation of Program Loops Through Expression Transformations. ICCS (3) (2023)
Sukwoong Choi, William S. Moses, Neil Thompson
The Quantum Tortoise and the Classical Hare: A simple framework for understanding which problems quantum computing will accelerate (and which it will not). CoRR (2023)
Zifan Carl Guo, William S. Moses
Enabling Transformers to Understand Low-Level Programs. HPEC (2022)
William S. Moses, Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert, Oleksandr Zinenko
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs. CoRR (2022)
William S. Moses, Sri Hari Krishna Narayanan, Ludger Paehler, Valentin Churavy, Michel Schanen, Jan Hückelheim, Johannes Doerfert, Paul D. Hovland
Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation. SC (2022)
William S. Moses, Lorenzo Chelini, Ruizhe Zhao, Oleksandr Zinenko
Polygeist: Raising C to Polyhedral MLIR. PACT (2021)
William S. Moses, Valentin Churavy, Ludger Paehler, Jan Hückelheim, Sri Hari Krishna Narayanan, Michel Schanen, Johannes Doerfert
Reverse-mode automatic differentiation and optimization of GPU kernels via enzyme. SC (2021)
Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. CoRR (2020)
Ameer Haj-Ali, Qijing (Jenny) Huang, William S. Moses, John Xiang, Krste Asanovic, John Wawrzynek, Ion Stoica
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. MLSys (2020)
William S. Moses, Valentin Churavy
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. CoRR (2020)
Ameer Haj-Ali, Hasan Genc, Qijing Huang, William S. Moses, John Wawrzynek, Krste Asanovic, Ion Stoica
ProTuner: Tuning Programs with Monte Carlo Tree Search. CoRR (2020)
William S. Moses, Valentin Churavy
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. NeurIPS (2020)
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen
The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically. ACM Trans. Archit. Code Optim. 16 (4) (2020)
Yu Xia, Xiangyao Yu, William S. Moses, Julian Shun, Srinivas Devadas
LiTM: A Lightweight Deterministic Software Transactional Memory System. PMAM@PPoPP (2019)
Tao B. Schardl, William S. Moses, Charles E. Leiserson
Tapir: Embedding Recursive Fork-join Parallelism into LLVM's Intermediate Representation. ACM Trans. Parallel Comput. 6 (4) (2019)
Ameer Haj Ali, Qijing Huang, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning. CoRR (2019)
Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek
AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning. FCCM (2019)
Yonadav Shavit, William S. Moses
Extracting Incentives from Black-Box Decisions. CoRR (2019)
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions. CoRR (2018)
Tao B. Schardl, William S. Moses, Charles E. Leiserson
Tapir: Embedding Fork-Join Parallelism into LLVM's Intermediate Representation. PPOPP (2017)
George Stelle, William S. Moses, Stephen L. Olivier, Patrick S. McCormick
OpenMPIR: Implementing OpenMP Tasks with Tapir. LLVM-HPC@SC (2017)
William S. Moses, Erik D. Demaine
Computational Complexity of Arranging Music. CoRR (2016)