| On the strong scaling of the spectral element solver Nek5000 on petascale systems N Offermans, O Marin, M Schanen, J Gong, P Fischer, P Schlatter, ... Proceedings of the Exascale Applications and Software Conference 2016, 1-10, 2016 | 91 | 2016 |
| 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 |
| MPI-Parallel Discrete Adjoint OpenFOAM M Towara, M Schanen, U Naumann Procedia Computer Science 51, 19-28, 2015 | 54 | 2015 |
| Interpretative adjoints for numerical simulation codes using MPI M Schanen, U Naumann, L Hascoët, J Utke Procedia Computer Science 1 (1), 1825-1833, 2010 | 45 | 2010 |
| Asynchronous Two-level Checkpointing Scheme for Large-scale Adjoints in the Spectral-element Solver Nek5000 M Schanen, O Marin, H Zhang, M Anitescu Procedia Computer Science 80, 1147-1158, 2016 | 31 | 2016 |
| Toward multiperiod AC-based contingency constrained optimal power flow at large scale M Schanen, F Gilbert, CG Petra, M Anitescu 2018 Power Systems Computation Conference (PSCC), 1-7, 2018 | 21 | 2018 |
| Fitting Matérn smoothness parameters using automatic differentiation CJ Geoga, O Marin, M Schanen, ML Stein Statistics and Computing 33 (2), 48, 2023 | 16 | 2023 |
| 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 | 14 | 2022 |
| Uncertainty Propagation in Power System Dynamics with the Method of Moments DA Maldonado, M Schanen, M Anitescu 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 13 | 2018 |
| Semantics driven adjoints of the message passing interface. M Schanen RWTH Aachen, Germany, 2016 | 12 | 2016 |
| Large-scale lossy data compression based on an a priori error estimator in a spectral element code O Marin, M Schanen, PF Fischer ANL/MCS-P6024-0616, 2016 | 11 | 2016 |
| Accelerating condensed interior-point methods on SIMD/GPU architectures F Pacaud, S Shin, M Schanen, DA Maldonado, M Anitescu Journal of Optimization Theory and Applications, 1-20, 2023 | 9 | 2023 |
| Discrete Adjoints of PETSc through dco/c++ and Adjoint MPI J Lotz, U Naumann, M Sagebaum, M Schanen Euro-Par 2013 Parallel Processing: 19th International Conference, Aachen …, 2013 | 9 | 2013 |
| A wish list for efficient adjoints of one-sided MPI communication M Schanen, U Naumann Recent Advances in the Message Passing Interface: 19th European MPI Users …, 2012 | 9 | 2012 |
| Second-order algorithmic differentiation by source transformation of MPI code M Schanen, M Förster, U Naumann Recent Advances in the Message Passing Interface: 17th European MPI Users …, 2010 | 9 | 2010 |
| 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 |
| A Multiperiod Optimization-Based Metric of Grid Resilience V Rao, K Kim, M Schanen, DA Maldonado, C Petra, M Anitescu 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 6 | 2019 |
| Compiler-based differentiation of numerical simulation codes M Schanen, M Förster, B Gendler, U Naumann ICCGI 2011, The Sixth International Multi-Conference on Computing in the …, 2011 | 6 | 2011 |
| A feasible reduced space method for real-time optimal power flow F Pacaud, DA Maldonado, S Shin, M Schanen, M Anitescu Electric Power Systems Research 212, 108268, 2022 | 5 | 2022 |
| On automatic differentiation for the Mat\'ern covariance O Marin, C Geoga, M Schanen arXiv preprint arXiv:2201.00262, 2022 | 5 | 2022 |
