Gefördert durch die

 

Publikationen

  1. Hirschmann, S. ; Lahnert, M. ; Schober, C. ; Brunn, M. ; Mehl, M. ; Pflüger, D.: Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications. In: High Performance Computing in Science and Engineering, High Performance Computing in Science and Engineering. Bd. 18, Springer (2018)
  2. Lahnert, Michael ; Burstedde, Carsten ; Holm, Christian ; Mehl, Miriam ; Rempfer, Georg ; Weik, Florian: Towards Lattice-Boltzmann on Dynamically Adaptive Grids - Minimally-Invasive Grid Exchange in ESPResSo. In: Papadrakakis, M. (Hrsg) ; Papadopoulos, V. (Hrsg) ; Stefanou, G. (Hrsg) ; Plevris, V. (Hrsg) ; Papadrakakis, M. (Hrsg) ; Papadopoulos, V. (Hrsg) ; Stefanou, G. (Hrsg) ; Plevris, V. (Hrsg) (Hrsg.) ; Papadrakakis, M. (Hrsg) ; Papadopoulos, V. (Hrsg) ; Stefanou, G. (Hrsg) ; Plevris, V. (Hrsg) (Hrsg.): ECCOMAS Congress 2016, VII European Congress on Computational Methods in Applied Sciences and Engineering., ECCOMAS Congress 2016, VII European Congress on Computational Methods in Applied Sciences and Engineering.. Bd. 2016, 2016b
  3. Lahnert, M. ; Aoki, T. ; Burstedde, C. ; Mehl, M.: Minimally-Invasive Integration of p4est in ESPResSo for Adaptive Lattice-Boltzmann. In: The 30th Computational Fluid Dynamics Symposium, Japan Society of Fluid Mechanics, The 30th Computational Fluid Dynamics Symposium, Japan Society of Fluid Mechanics. (2016a)