| Adaptive SIMD optimizations in particle-in-cell codes with fine-grain particle sorting A Beck, J Dérouillat, M Lobet, A Farjallah, F Massimo, I Zemzemi, F Perez, ... Computer Physics Communications 244, 246-263, 2019 | 24 | 2019 |
| Adaptive sampling for performance characterization of application kernels P de Oliveira Castro, E Petit, A Farjallah, W Jalby Concurrency and Computation: Practice and Experience 25 (17), 2345-2362, 2013 | 15 | 2013 |
| Lips-learning industrial physical simulation benchmark suite M LEYLI ABADI, A Marot, J Picault, D Danan, M Yagoubi, B Donnot, ... Advances in Neural Information Processing Systems 35, 28095-28109, 2022 | 13 | 2022 |
| Neurips 2024 ml4cfd competition: Harnessing machine learning for computational fluid dynamics in airfoil design M Yagoubi, D Danan, M Leyli-Abadi, JP Brunet, JA Mazari, F Bonnet, ... arXiv preprint arXiv:2407.01641, 2024 | 4 | 2024 |
| Preparing depth imaging applications for Exascale challenges and impacts A Farjallah Université de Versailles-Saint Quentin en Yvelines, 2014 | 3 | 2014 |
| ML4PhySim: Machine Learning for Physical Simulations Challenge (The airfoil design) M Yagoubi, M Leyli-Abadi, D Danan, JP Brunet, JA Mazari, F Bonnet, ... arXiv preprint arXiv:2403.01623, 2024 | 1 | 2024 |
| High Level Methodologies for Performance Characterization and Prediction A Farjallah, C Andreolli, T Guillet, O Awile, P Thierry Second EAGE Workshop on High Performance Computing for Upstream, 2015 | | 2015 |
| Etude de l'adéquation des machines Exascale pour les algorithmes implémentant la méthode du Reverse Time Migation A Farjallah Versailles-St Quentin en Yvelines, 2014 | | 2014 |
| Preparing depth imaging applications for Exascale challenges and impacts.(Etude de l'adéquation des machines Exascale pour les algorithmes implémentant la méthode du Reverse … A Farjallah Versailles Saint-Quentin-en-Yvelines University, France, 2014 | | 2014 |
| Innovative Programming Models for Depth Imaging Applications A Farjallah, M Tchiboukdjian, B Krammer, H Calandra, W Jalby Intel European Exascale Labs, 48, 2013 | | 2013 |
| LIPS-Learning Industrial Physical Simulation benchmark suite–Appendix M Leyli-Abadi, D Danan, M Yagoubi, S Attoui, A Marot, J Picault, B Donnot, ... | | |
| The electromagnetic PIC code Smilei: physics, performance and highlights F Pérez, A Beck, J Derouillat, A Farjallah, M Lobet, F Massimo, T Vinci, ... | | |
