Compiler-based graph representations for deep learning models of code A Brauckmann, A Goens, S Ertel, J Castrillon Proceedings of the 29th International Conference on Compiler Construction …, 2020 | 89 | 2020 |
Polygym: Polyhedral optimizations as an environment for reinforcement learning A Brauckmann, A Goens, J Castrillon 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 17* | 2021 |
A case study on machine learning for synthesizing benchmarks A Goens, A Brauckmann, S Ertel, C Cummins, H Leather, J Castrillon Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine …, 2019 | 14 | 2019 |
ExeBench: an ML-scale dataset of executable C functions J Armengol-Estapé, J Woodruff, A Brauckmann, JWS Magalhães, ... Proceedings of the 6th ACM SIGPLAN International Symposium on Machine …, 2022 | 10 | 2022 |
ComPy-Learn: A toolbox for exploring machine learning representations for compilers A Brauckmann, A Goens, J Castrillon 2020 Forum for Specification and Design Languages (FDL), 1-4, 2020 | 4 | 2020 |
Investigating Input Representations and Representation Models of Source Code for Machine Learning A Brauckmann TU Dresden, Faculty of Computer Science, 2020 | 2 | 2020 |
mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR using Program Synthesis A Brauckmann, E Polgreen, T Grosser, MFP O'Boyle 2023 32nd International Conference on Parallel Architectures and Compilation …, 2023 | 1 | 2023 |
Rewriting History: Repurposing Domain-Specific CGRAs J Woodruff, T Koehler, A Brauckmann, C Cummins, S Ainsworth, ... arXiv preprint arXiv:2309.09112, 2023 | 1 | 2023 |
PACT 2023 A Brauckmann, E Polgreen, T Grosser, MFP O'Boyle | | |
Liang, Shuhao 297 P Abad, ME Acacio, A Agrawal, GG Akbulut, E Aliaj, M Almasri, J An, ... | | |
2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT)| 978-1-6654-4278-7/21/$31.00© 2021 IEEE| DOI: 10.1109/PACT52795. 2021.00033 B Akin, C Angermueller, D Baek, W Baek, CR Banbury, Y Bao, A Basu, ... | | |