| FleCSPH: The next generation FleCSIble parallel computational infrastructure for smoothed particle hydrodynamics J Loiseau, H Lim, MA Kaltenborn, O Korobkin, CM Mauney, I Sagert, ... SoftwareX 12, 100602, 2020 | 8 | 2020 |
| Many-core approaches to combinatorial problems: case of the Langford problem M Krajecki, J Loiseau, F Alin, C Jaillet Supercomputing Frontiers and Innovations 3 (2), 2016 | 6 | 2016 |
| BFS Traversal on Multi-GPU Cluster M Krajecki, J Loiseau, F Alin, C Jaillet 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and …, 2016 | 4 | 2016 |
| FleCSI 2.0: The Flexible Computational Science Infrastructure Project B Bergen, I Demeshko, C Ferenbaugh, D Herring, LT Lo, J Loiseau, ... European Conference on Parallel Processing, 480-495, 2021 | 3 | 2021 |
| Modeling Solids in Nuclear Astrophysics with Smoothed Particle Hydrodynamics I Sagert, O Korobkin, I Tews, BJ Tsao, H Lim, M Falato, J Loiseau The Astrophysical Journal Supplement Series 267 (2), 47, 2023 | 2 | 2023 |
| Modeling neutron star oscillations in a fixed general relativistic background including solid crust dynamics BJ Tsao, I Sagert, O Korobkin, I Tews, H Lim, G Dilts, J Loiseau arXiv preprint arXiv:2107.07315, 2021 | 2 | 2021 |
| FleCSPHg: A GPU Accelerated Framework for Physics and Astrophysics Simulations J Loiseau, F Alin, C Jaillet, M Krajecki High Performance Computing: 5th Latin American Conference, CARLA 2018 …, 2019 | 2 | 2019 |
| Massively Parallel Resolution of Combinatorial Problems on MultiGPU Clusters J Loiseau, C Jaillet, F Alin, M Krajecki GTC Technology Conference 2015, 2015 | 2 | 2015 |
| Parcours de grands graphes sur architecture hybride CPU/GPU J Loiseau, F Alin, C Jaillet, M Krajecki Modèles et Analyses Réseau: Approches Mathématiques et Informatiques (MARAMI …, 2015 | 2 | 2015 |
| Towards the Parallel Resolution of the Langford Problem on a Cluster of GPU Devices H Deleau, C Jaillet, M Krajecki, J Loiseau, LA Steffenel, F Alin, ... CSC14: The Sixth SIAM Workshop on Combinatorial Scientific Computing, 66, 2014 | 2 | 2014 |
| Transformations for Energy Efficient Accelerated Chain Matrix Multiplication (TEE-ACM 2) M Moraru, M Warnet, J Loiseau, V Ramakrishnaiah, N Prajapati, H Lim, ... Supercomputing, 2022 | 1 | 2022 |
| Conservation of Angular Momentum in the Fast Multipole Method O Korobkin, H Lim, I Sagert, J Loiseau, C Mauney, MAR Kaltenborn, ... arXiv preprint arXiv:2107.07166, 2021 | 1 | 2021 |
| FleCSPH: Parallel and distributed SPH implementation based on the FleCSI J Loiseau, H Lim, MA Kaltenborn, O Korobkin, CM Mauney, I Sagert, ... Astrophysics Source Code Library, ascl: 2007.011, 2020 | 1 | 2020 |
| The choice of hybrid architectures, a realistic strategy to reach the Exascale J Loiseau Université de Reims Champagne-Ardenne, 2018 | 1 | 2018 |
| Modeling the Solid Neutron-Star Crust with SPH I Sagert, O Korobkin, I Tews, BJ Tsao, H Lim, M Falato, A Hartley, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Initialization of Binary Neutron Star Orbits Using External Potential Relaxation Scheme M Falato, O Korobkin, I Sagert, H Lim, J Loiseau Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Conservation of Angular Momentum in the Fast Multipole Method H Lim, O Korobkin, J Loiseau, C Mauney, I Sagert, A Kaltenborn, BJ Tsao, ... APS April Meeting Abstracts 2022, S17. 062, 2022 | | 2022 |
| Fully Dynamical General Relativistic SPH: Progress and Challenges O Korobkin, BJ Tsao, H Lim, I Sagert, W Even, J Loiseau APS April Meeting Abstracts 2022, X13. 001, 2022 | | 2022 |
| Realistic Kilonova Up Close AR Stewart, LT Lo, O Korobkin, I Sagert, J Loiseau, H Lim, MA Kaltenborn, ... arXiv preprint arXiv:2201.01865, 2022 | | 2022 |
| Optimizing and extending the functionality of EXARL for scalable reinforcement learning S Chenna, K Cosburn, U Ezeobi, M Moraru, H Lim, J Loiseau, ... SC21-Supercomputing 2021, 2021 | | 2021 |
Michaël Krajeckiprofesseur d'informatique, CReSTIC (EA3804) Université de Reims Champagne-ArdenneEmail yang diverifikasi di univ-reims.fr
