| A survey of HPC algorithms and frameworks for large-scale gradient-based nonlinear optimization F Liu, A Fredriksson, S Markidis The Journal of Supercomputing 78 (16), 17513-17542, 2022 | 7 | 2022 |
| Accelerating radiation therapy dose calculation with nvidia gpus F Liu, N Jansson, A Podobas, A Fredriksson, S Markidis 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 6 | 2021 |
| Optimizing bit1, a particle-in-cell monte carlo code, with openmp/openacc and gpu acceleration JJ Williams, F Liu, D Tskhakaya, S Costea, A Podolnik, S Markidis International Conference on Computational Science, 316-330, 2024 | 2 | 2024 |
| Uncertainty quantification of reduced-precision time series in turbulent channel flow M Karp, F Liu, R Stanly, S Rezaeiravesh, N Jansson, P Schlatter, ... Proceedings of the SC'23 Workshops of the International Conference on High …, 2023 | 2 | 2023 |
| Parallel Cholesky factorization for banded matrices using OpenMP tasks F Liu, A Fredriksson, S Markidis European Conference on Parallel Processing, 725-739, 2023 | 2 | 2023 |
| Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy. F Liu, A Fredriksson, S Markidis CoRR, 2023 | 2* | 2023 |
| A GPU-Accelerated Interior Point Method for Radiation Therapy Optimization F Liu, A Fredriksson, S Markidis arXiv preprint arXiv:2405.03584, 2024 | | 2024 |
| High Performance Computing for the Optimization of Radiation Therapy Treatment Plans F Liu KTH Royal Institute of Technology, 2024 | | 2024 |
| Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems MI Andersson, F Liu, S Markidis Proceedings of the 2024 SIAM Conference on Parallel Processing for …, 2024 | | 2024 |
| Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans F Liu, MI Andersson, A Fredriksson, S Markidis International Conference on Parallel Processing and Applied Mathematics, 383-395, 2022 | | 2022 |
| EPID image prediction using a U-net model. F Liu | | 2020 |
| Accelerating Particle-in-Cell Monte Carlo Simulations with Mpi, Openmp/Openacc and Asynchronous Multi-Gpu Programming JJ Williams, F Liu, J Trilaksono, D Tskhakaya, S Costea, L Kos, ... Openmp/Openacc and Asynchronous Multi-Gpu Programming, 0 | | |
Stefano MarkidisProfessor, KTH Royal Institute of TechnologyZweryfikowany adres z kth.se
