Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWilliam S. Moses
Person information
- affiliation: University of Illinois Urbana-Champaign (UIUC), IL, USA
- affiliation (former): MIT CSAIL, Cambridge, MA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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- [i13]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) - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-10 23:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
