| Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions N Vasilache, O Zinenko, T Theodoridis, P Goyal, Z DeVito, WS Moses, ... arXiv preprint arXiv:1802.04730, 2018 | 512 | 2018 |
| Tapir: Embedding Fork-Join Parallelism into LLVM's Intermediate Representation TB Schardl, WS Moses, CE Leiserson ACM SIGPLAN Notices 52 (8), 249-265, 2017 | 127 | 2017 |
| Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients WS Moses, V Churavy Advances in Neural Information Processing Systems 33, 12472--12485, 2020 | 100 | 2020 |
| The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically N Vasilache, O Zinenko, T Theodoridis, P Goyal, Z Devito, WS Moses, ... ACM Transactions on Architecture and Code Optimization (TACO) 16 (4), 1-26, 2019 | 70 | 2019 |
| Polygeist: Raising C to Polyhedral MLIR WS Moses, L Chelini, R Zhao, O Zinenko 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 68 | 2021 |
| Reverse-Mode Automatic Differentiation and Optimization of GPU Kernels via Enzyme WS Moses, V Churavy, L Paehler, J Hückelheim, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 66 | 2021 |
| AutoPhase: Juggling HLS phase orderings in random forests with deep reinforcement learning A Haj-Ali, QJ Huang, J Xiang, W Moses, K Asanovic, J Wawrzynek, ... Proceedings of Machine Learning and Systems 2, 70-81, 2020 | 54* | 2020 |
| AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning Q Huang, A Haj-Ali, W Moses, J Xiang, I Stoica, K Asanovic, J Wawrzynek 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019 | 48 | 2019 |
| Tapir: Embedding Recursive Fork-join Parallelism into LLVM’s Intermediate Representation TB Schardl, WS Moses, CE Leiserson ACM Transactions on Parallel Computing (TOPC) 6 (4), 1-33, 2019 | 30 | 2019 |
| Scalable automatic differentiation of multiple parallel paradigms through compiler augmentation WS Moses, SHK Narayanan, L Paehler, V Churavy, M Schanen, ... SC22: International Conference for High Performance Computing, Networking …, 2022 | 21 | 2022 |
| ProTuner: Tuning Programs with Monte Carlo Tree Search A Haj-Ali, H Genc, Q Huang, W Moses, J Wawrzynek, K Asanović, I Stoica arXiv preprint arXiv:2005.13685, 2020 | 20 | 2020 |
| High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs WS Moses, IR Ivanov, J Domke, T Endo, J Doerfert, O Zinenko Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and …, 2023 | 18 | 2023 |
| OpenMPIR: Implementing OpenMP Tasks with Tapir G Stelle, WS Moses, SL Olivier, P McCormick Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC, 3, 2017 | 16 | 2017 |
| Tensor comprehensions: Framework-agnostic high-performance machine learning abstractions. ArXiv. 2018 N Vasilache, O Zinenko, T Theodoridis, P Goyal, Z DeVito, WS Moses, ... URL https://arxiv. org/pdf/1802.04730. pdf, 1802 | 14 | 1802 |
| Performance Portable Solid Mechanics via Matrix-Free -Multigrid J Brown, V Barra, N Beams, L Ghaffari, M Knepley, W Moses, R Shakeri, ... arXiv preprint arXiv:2204.01722, 2022 | 13 | 2022 |
| Polygeist: Affine C in MLIR WS Moses, L Chelini, R Zhao, O Zinenko IMPACT, 2021 | 10 | 2021 |
| LiTM: A Lightweight Deterministic Software Transactional Memory System Y Xia, X Yu, W Moses, J Shun, S Devadas Proceedings of the 10th International Workshop on Programming Models and …, 2019 | 10 | 2019 |
| ComPile: A Large IR Dataset from Production Sources A Grossman, L Paehler, K Parasyris, T Ben-Nun, J Hegna, W Moses, ... arXiv preprint arXiv:2309.15432, 2023 | 9 | 2023 |
| Extracting Incentives from Black-Box Decisions Y Shavit, WS Moses arXiv preprint arXiv:1910.05664, 2019 | 9 | 2019 |
| The Quantum Tortoise and the Classical Hare: A simple framework for understanding which problems quantum computing will accelerate (and which it will not) S Choi, WS Moses, N Thompson arXiv preprint arXiv:2310.15505, 2023 | 5 | 2023 |
Oleksandr ZinenkoGoogle DeepMindVerified email at google.com
