→ Kohl, N., Thoennes, D., Drzisga, D., Bartuschat, D., & Rüde, U. (2019). A Scalable and Modular Software Architecture for Finite Elements on Hierarchical Hybrid Grids. In Andrew Adamatzky, Selim Akl, Georgios Sirakoulis (Eds.), From Parallel to Emergent Computing. : Taylor & Francis. |
→ Rettinger, C., & Rüde, U. (2019). Dynamic Load Balancing Techniques for Particulate Flow Simulations. Computation, 7(1). https://dx.doi.org/10.3390/computation7010009 |
→ Rettinger, C., & Rüde, U. (2018). A coupled lattice Boltzmann method and discrete element method for discrete particle simulations of particulate flows. Computers & Fluids, 706-719. https://dx.doi.org/10.1016/j.compfluid.2018.01.023 |
→ Bartuschat, D., Gmeiner, B., Thoennes, D., Kohl, N., Rüde, U., Drzisga, D.P.,... Bunge, H.-P. (2018). A Finite Element Multigrid Framework for
Extreme-Scale Earth Mantle Convection Simulations. Tokyo, JP. |
→ Bartuschat, D., Gmeiner, B., Thoennes, D., Kohl, N., Rüde, U., Drzisga, D.,... Bunge, H.-P. (2018). A Finite Element Multigrid Framework for
Extreme-Scale Earth Mantle Convection Simulations. Tokyo, JP. |
→ Kohl, N., Hötzer, J., Schornbaum, F., Bauer, M., Godenschwager, C., Köstler, H.,... Rüde, U. (2018). A scalable and extensible checkpointing scheme for massively parallel simulations. International Journal of High Performance Computing Applications. https://dx.doi.org/10.1177/1094342018767736 |
→ Bartuschat, D., & Rüde, U. (2018). A scalable multiphysics algorithm for massively parallel direct numerical simulations of electrophoresis. Journal of Computational Science, 27, 147 - 167. https://dx.doi.org/10.1016/j.jocs.2018.05.011 |
→ Schornbaum, F., & Rüde, U. (2018). Extreme-Scale Block-Structured Adaptive Mesh Refinement. SIAM Journal on Scientific Computing. https://dx.doi.org/10.1137/17M1128411 |
→ Bartuschat, D., & Rüde, U. (2018). Massively Parallel Simulations of Particulate Electrokinetic Micro-fluid Flows. IIT Delhi, Neu Delhi, IN. |
→ Thoennes, D., Kohl, N., Bartuschat, D., & Rüde, U. (2018). Sustainability and Efficiency for Simulation Software in the Exascale Era. Tokyo, JP. |