15 citations · 18 across the 3 of their papers we have counts for
4 papers
Scalable Domain-decomposed Monte Carlo Neutral Transport for Nuclear Fusion
Oskar Lappi, Huw Leggate, Yannick Marandet +3
EIRENE [1] is a Monte Carlo neutral transport solver heavily used in the fusion community. EIRENE does not implement domain decomposition, making it impossible to use for simulatio…
2D implementation of Kinetic-diffusion Monte Carlo in Eiron
Oskar Lappi, Emil Løvbak, Thijs Steel +1
Particle-based kinetic Monte Carlo simulations of neutral particles is one of the major computational bottlenecks in tokamak scrape-off layer simulations. This computational cost c…
Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies
Johannes Pekkilä, Oskar Lappi, Fredrik Robertsén +1
Over the last ten years, graphics processors have become the de facto accelerator for data-parallel tasks in various branches of high-performance computing, including machine learn…
Scalable communication for high-order stencil computations using CUDA-aware MPI
Johannes Pekkilä, Miikka S. Väisälä, Maarit J. Käpylä +2
Modern compute nodes in high-performance computing provide a tremendous level of parallelism and processing power. However, as arithmetic performance has been observed to increase…