| Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations JJ Williams, D Tskhakaya, S Costea, IB Peng, M Garcia-Gasulla, ... Euro-Par 2023: Parallel Processing Workshops: Euro-Par 2023 International …, 2023 | 2 | 2023 |
| 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 arXiv preprint arXiv:2404.10270, 2024 | | 2024 |
| Fully Kinetic Modelling of the Tokamak Scrape-off Layer D Tskhakaya, JJ Williams, S Costea, S Markidis, M Garcia-Gasulla, ... The Platform for Advanced Scientific Computing (PASC) 2023 Mini-Symposium …, 2023 | | 2023 |
| MPI Performance Analysis in Vlasiator: Unraveling Communication Bottlenecks J Faj, JJ Williams, IB Peng, U Ganse, M Battarbee, Y Pfau-Kempf, ... SC23: The International Conference for High Performance Computing …, 2023 | | 2023 |
| Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code JJ Williams, D Medeiros, IB Peng, S Markidis SC23: The International Conference for High Performance Computing …, 2023 | | 2023 |
Stefano MarkidisProfessor, KTH Royal Institute of TechnologyVerified email at kth.se
