William S. Moses
Orcid: 0000-0003-2627-0642Affiliations:
- University of Illinois Urbana-Champaign (UIUC), IL, USA
- MIT CSAIL, Cambridge, MA, USA (former)
According to our database1,
William S. Moses
authored at least 27 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on wsmoses.com
-
on orcid.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024
2023
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
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023
Transparent Checkpointing for Automatic Differentiation of Program Loops Through Expression Transformations.
Proceedings of the Computational Science - ICCS 2023, 2023
2022
Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
2021
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021
2020
The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically.
ACM Trans. Archit. Code Optim., 2020
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning.
Proceedings of the Third Conference on Machine Learning and Systems, 2020
2019
Tapir: Embedding Recursive Fork-join Parallelism into LLVM's Intermediate Representation.
ACM Trans. Parallel Comput., 2019
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning.
CoRR, 2019
Proceedings of the 10th International Workshop on Programming Models and Applications for Multicores and Manycores, 2019
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019
2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions.
CoRR, 2018
2017
Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC, 2017
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017
2016