| Architecture and performance of Devito, a system for automated stencil computation F Luporini, M Louboutin, M Lange, N Kukreja, P Witte, J Hückelheim, ... ACM Transactions on Mathematical Software (TOMS) 46 (1), 1-28, 2020 | 146 | 2020 |
| Reverse-mode automatic differentiation and optimization of GPU kernels via Enzyme WS Moses, V Churavy, L Paehler, J Hückelheim, SHK Narayanan, ... Proceedings of the international conference for high performance computing …, 2021 | 54 | 2021 |
| Training on the Edge: The why and the how N Kukreja, A Shilova, O Beaumont, J Huckelheim, N Ferrier, P Hovland, ... 2019 IEEE International Parallel and Distributed Processing Symposium …, 2019 | 38 | 2019 |
| STAMPS: a finite-volume solver framework for adjoint codes derived with source-transformation AD JD Mueller, J Hueckelheim, O Mykhaskiv 2018 Multidisciplinary Analysis and Optimization Conference, 2928, 2018 | 31 | 2018 |
| Automatic differentiation for adjoint stencil loops J Hückelheim, N Kukreja, SHK Narayanan, F Luporini, G Gorman, ... Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019 | 19 | 2019 |
| Reverse-mode algorithmic differentiation of an OpenMP-parallel compressible flow solver J Hückelheim, P Hovland, MM Strout, JD Müller The International Journal of High Performance Computing Applications 33 (1 …, 2019 | 18 | 2019 |
| Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation JC Hückelheim, PD Hovland, MM Strout, JD Müller Optimization Methods and Software 33 (4-6), 672-693, 2018 | 17 | 2018 |
| 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 | 15 | 2022 |
| High-level python abstractions for optimal checkpointing in inversion problems N Kukreja, J Hückelheim, M Lange, M Louboutin, A Walther, SW Funke, ... arXiv preprint arXiv:1802.02474, 2018 | 15 | 2018 |
| Source-to-source automatic differentiation of OpenMP parallel loops J Hückelheim, L Hascoët ACM Transactions on Mathematical Software (TOMS) 48 (1), 1-32, 2022 | 13 | 2022 |
| Lossy checkpoint compression in full waveform inversion N Kukreja, J Hückelheim, M Louboutin, J Washbourne, PHJ Kelly, ... Geoscientific Model Development Discussions 2020, 1-26, 2020 | 12* | 2020 |
| Optimised finite difference computation from symbolic equations M Lange, N Kukreja, F Luporini, M Louboutin, C Yount, J Hückelheim, ... arXiv preprint arXiv:1707.03776, 2017 | 11 | 2017 |
| Consistent treatment of incompletely converged iterative linear solvers in reverse-mode algorithmic differentiation S Akbarzadeh, J Hückelheim, JD Müller Computational Optimization and Applications 77, 597-616, 2020 | 10* | 2020 |
| Combining checkpointing and data compression to accelerate adjoint-based optimization problems N Kukreja, J Hückelheim, M Louboutin, P Hovland, G Gorman Euro-Par 2019: Parallel Processing: 25th International Conference on …, 2019 | 9 | 2019 |
| Architecture and performance of Devito, a system for automated stencil computation, CoRR, abs/1807.03032 F Luporini, M Lange, M Louboutin, N Kukreja, J Hückelheim, C Yount, ... | 8 | 2018 |
| Spray: Sparse reductions of arrays in openmp J Hückelheim, J Doerfert 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 7 | 2021 |
| Backpropagation for long sequences: beyond memory constraints with constant overheads N Kukreja, J Hückelheim, GJ Gorman arXiv preprint arXiv:1806.01117, 2018 | 7 | 2018 |
| Algorithmic differentiation of code with multiple context-specific activities JC Hueckelheim, L Hascoët, JD Müller ACM Transactions on Mathematical Software (TOMS) 43 (4), 1-21, 2017 | 7 | 2017 |
| Vector forward mode automatic differentiation on simd/simt architectures J Hückelheim, M Schanen, SHK Narayanan, P Hovland Proceedings of the 49th International Conference on Parallel Processing, 1-11, 2020 | 6 | 2020 |
| Checkpointing with time gaps for unsteady adjoint CFD JC Hückelheim, JD Müller Advances in Evolutionary and Deterministic Methods for Design, Optimization …, 2019 | 6 | 2019 |
Paul D. HovlandSenior Computer Scientist, Argonne National Laboratory在 mcs.anl.gov 的电子邮件经过验证
