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ORCIDWilliam S. Moses
Person information
- affiliation: University of Illinois Urbana-Champaign (UIUC), IL, USA
- affiliation (former): MIT CSAIL, Cambridge, MA, USA
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2020 – today
- 2024
[j3]Jan Hückelheim
, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët:
A taxonomy of automatic differentiation pitfalls. WIREs Data. Mining. Knowl. Discov. 14(6) (2024)- [c13]Ivan R. Ivanov, Oleksandr Zinenko, Jens Domke, Toshio Endo, William S. Moses:
Retargeting and Respecializing GPU Workloads for Performance Portability. CGO 2024: 119-132 - [i14]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 abs/2406.08843 (2024) - [i13]Martin Paul Lücke, Oleksandr Zinenko, William S. Moses, Michel Steuwer, Albert Cohen:
The MLIR Transform Dialect. Your compiler is more powerful than you think. CoRR abs/2409.03864 (2024) - 2023
- [b1]William S. Moses:
Supercharging Programming through Compiler Technology. MIT, USA, 2023 - [c12]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: 483-497 - [c11]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: 119-134 - [i12]Jan Hückelheim, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët:
Understanding Automatic Differentiation Pitfalls. CoRR abs/2305.07546 (2023) - [i11]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 abs/2309.15432 (2023) - [i10]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 abs/2310.15505 (2023) - 2022
- [c10]Zifan Carl Guo, William S. Moses:
Enabling Transformers to Understand Low-Level Programs. HPEC 2022: 1-9 - [c9]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: 60:1-60:18 - [i9]Jed Brown, Valeria Barra, Natalie Beams, Leila Ghaffari, Matthew G. Knepley, William S. Moses, Rezgar Shakeri, Karen Stengel, Jeremy L. Thompson, Junchao Zhang:
Performance Portable Solid Mechanics via Matrix-Free p-Multigrid. CoRR abs/2204.01722 (2022) - [i8]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 abs/2207.00257 (2022) - 2021
- [c8]William S. Moses, Lorenzo Chelini, Ruizhe Zhao, Oleksandr Zinenko:
Polygeist: Raising C to Polyhedral MLIR. PACT 2021: 45-59 - [c7]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: 61 - 2020
- [j2]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): 38:1-38:26 (2020) - [c6]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 - [c5]William S. Moses, Valentin Churavy:
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. NeurIPS 2020 - [i7]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 abs/2003.00671 (2020) - [i6]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 abs/2005.13685 (2020) - [i5]William S. Moses, Valentin Churavy:
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. CoRR abs/2010.01709 (2020)
2010 – 2019
- 2019
- [j1]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): 19:1-19:33 (2019) - [c4]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: 308 - [c3]Yu Xia, Xiangyao Yu, William S. Moses, Julian Shun, Srinivas Devadas:
LiTM: A Lightweight Deterministic Software Transactional Memory System. PMAM@PPoPP 2019: 1-10 - [i4]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 abs/1901.04615 (2019) - [i3]Yonadav Shavit, William S. Moses:
Extracting Incentives from Black-Box Decisions. CoRR abs/1910.05664 (2019) - 2018
- [i2]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 abs/1802.04730 (2018) - 2017
- [c2]Tao B. Schardl, William S. Moses, Charles E. Leiserson:
Tapir: Embedding Fork-Join Parallelism into LLVM's Intermediate Representation. PPoPP 2017: 249-265 - [c1]George Stelle, William S. Moses, Stephen L. Olivier, Patrick S. McCormick:
OpenMPIR: Implementing OpenMP Tasks with Tapir. LLVM-HPC@SC 2017: 3:1-3:12 - 2016
- [i1]William S. Moses, Erik D. Demaine:
Computational Complexity of Arranging Music. CoRR abs/1607.04220 (2016)
Coauthor Index
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