| Swizzle Inventor: Data Movement Synthesis for GPU Kernels PM Phothilimthana, AS Elliott, A Wang, A Jangda, B Hagedorn, H Barthels, ... Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 55 | 2019 |
| Fireiron: A Data-Movement-Aware Scheduling Language for GPUs B Hagedorn, AS Elliott, H Barthels, R Bodik, V Grover Proceedings of the ACM International Conference on Parallel Architectures …, 2020 | 29 | 2020 |
| Linnea: Automatic generation of efficient linear algebra programs H Barthels, C Psarras, P Bientinesi ACM Transactions on Mathematical Software (TOMS) 47 (3), 1-26, 2021 | 19 | 2021 |
| The Generalized Matrix Chain Algorithm H Barthels, M Copik, P Bientinesi Proceedings of the 2018 International Symposium on Code Generation and …, 2018 | 16 | 2018 |
| The linear algebra mapping problem. current state of linear algebra languages and libraries C Psarras, H Barthels, P Bientinesi ACM Transactions on Mathematical Software (TOMS) 48 (3), 1-30, 2022 | 12 | 2022 |
| Automatic generation of efficient linear algebra programs H Barthels, C Psarras, P Bientinesi Proceedings of the Platform for Advanced Scientific Computing Conference, 1-11, 2020 | 12 | 2020 |
| The linear algebra mapping problem C Psarras, H Barthels, P Bientinesi arXiv preprint arXiv:1911.09421, 2019 | 12 | 2019 |
| Efficient Pattern Matching in Python M Krebber, H Barthels, P Bientinesi Proceedings of the 7th Workshop on Python for High-Performance and …, 2017 | 10 | 2017 |
| Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs B Hagedorn, AS Elliott, H Barthels, R Bodik, V Grover arXiv preprint arXiv:2003.06324, 2020 | 8 | 2020 |
| MatchPy: Pattern Matching in Python. M Krebber, H Barthels J. Open Source Software 3 (26), 670, 2018 | 8 | 2018 |
| Juggrnaut – An Abstract JVM J Heinen, H Barthels, C Jansen International Conference on Formal Verification of Object-Oriented Software …, 2011 | 8 | 2011 |
| MatchPy: A Pattern Matching Library M Krebber, H Barthels, P Bientinesi arXiv preprint arXiv:1710.06915, 2017 | 5 | 2017 |
| Linnea: Compiling Linear Algebra Expressions to High-Performance Code H Barthels, P Bientinesi Proceedings of the International Workshop on Parallel Symbolic Computation, 1, 2017 | 4 | 2017 |
| The Sad Truth about Linear Algebra Software H Barthels, C Psarras, P Bientinesi XXI Householder Symposium on Numerical Linear Algebra, 119, 2020 | 1 | 2020 |
| A Compiler for Linear Algebra Operations H Barthels Companion Proceedings of the 2016 ACM SIGPLAN International Conference on …, 2016 | 1 | 2016 |
| Automata-Based Detection of Hypergraph Embeddings H Barthels Software Modeling and Verification Group, RWTH Aachen, 2011 | 1 | 2011 |
| Linnea: a compiler for mapping linear algebra problems onto high-performance kernel libraries H Barthels Dissertation, RWTH Aachen University, 2022, 0 | 1* | |
| MOM: Matrix Operations in MLIR L Chelini, H Barthels, P Bientinesi, M Copik, T Grosser, DG Spampinato arXiv preprint arXiv:2208.10391, 2022 | | 2022 |
| Efficiently Mapping Linear Algebra to High-Performance Code C Psarras, H Barthels, P Bientinesi TACCSTER 2019 Proceedings, 2019 | | 2019 |
| The Linear Algebra Mapping Problem (LAMP) H Barthels, D Fabregat, P Bientinesi HOUSEHOLDER SYMPOSIUM XX PROGRAM AND ABSTRACTS, 29, 2017 | | 2017 |
Paolo BientinesiUmeå University在 cs.umu.se 的电子邮件经过验证
