30 citations · 34 across the 3 of their papers we have counts for
4 papers
Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems
Jeremy J. Williams, Jordy Trilaksono, Stefan Costea +13
Particle-in-Cell (PIC) Monte Carlo (MC) simulations are central to plasma physics but face increasing challenges on heterogeneous HPC systems due to excessive data movement, synchr…
A high-performance elliptic solver for plasma boundary turbulence codes
Andreas Stegmeir, Cristian Lalescu, Mou Lin +3
Elliptic equations play a crucial role in turbulence models for magnetic confinement fusion. Regardless of the chosen modeling approach - whether gyrokinetic, gyrofluid, or drift-f…
Global gyrokinetic simulations of ASDEX Upgrade up to the transport time-scale with GENE-Tango
A. Di Siena, A. Banon Navarro, T. Luda +12
An accurate description of turbulence up to the transport time scale is essential for predicting core plasma profiles and enabling reliable calculations for designing advanced scen…
Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX
Tilman Dannert, Andreas Marek, Markus Rampp
We have developed GPU versions for two major high-performance-computing (HPC) applications originating from two different scientific domains. GENE is a plasma microturbulence code…