Christian Godenschwager

Scopus Autoren ID: 40761357100



Organisationseinheit


Lehrstuhl für Informatik 10 (Systemsimulation)


Mitarbeit in Forschungsprojekten


waLBerla: waLBerla - Widely applicable Lattice Boltzmann from Erlangen
Prof. Dr. Harald Köstler; Prof. Dr. Ulrich Rüde
(01.01.2007 - 01.01.2099)


Publikationen (Download BibTeX)

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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., Bauer, M., Bogner, S., Godenschwager, C., & Rüde, U. (2017). Applications of Lattice Boltzmann Methods. IIT Delhi, Neu Delhi, IN.
Rettinger, C., Godenschwager, C., Eibl, S., Preclik, T., Schruff, T., Frings, R.M., & Rüde, U. (2017). Fully Resolved Simulations of Dune Formation in Riverbeds. In Kunkel JM, Yokota R, Balaji P, Keyes D (Eds.), High Performance Computing: 32nd International Conference, ISC High Performance 2017, Frankfurt, Germany, June 18-22, 2017, Proceedings. (pp. 3-21). Cham: Springer International Publishing.
Galache, J.P.G., Gil, A., Godenschwager, C., & Rüde, U. (2017). Optimum configuration for accurate simulations of chaotic porous media with Lattice Boltzmann Methods considering boundary conditions, lattice spacing and domain size. Computers & Mathematics With Applications, 73(12), 2515–2528. https://dx.doi.org/10.1016/j.camwa.2017.03.017
Bauer, M., Schornbaum, F., Godenschwager, C., Markl, M., Anderl, D., Köstler, H., & Rüde, U. (2016). A Python extension for the massively parallel multiphysics simulation framework waLBerla. International Journal of Parallel, Emergent and Distributed Systems, 31(6), 529-542. https://dx.doi.org/10.1080/17445760.2015.1118478
Kuron, M., Rempfer, G., Schornbaum, F., Bauer, M., Godenschwager, C., Holm, C., & de Graaf, J. (2016). Moving charged particles in lattice Boltzmann-based electrokinetics. Journal of Chemical Physics, 145(21). https://dx.doi.org/10.1063/1.4968596
Bauer, M., Schornbaum, F., Godenschwager, C., Hötzer, J., Köstler, H., & Rüde, U. (2016, April). Performance Optimization of a Massively Parallel Phase-Field Method Using the HPC Framework waLBerla. Paper presentation at SIAM Conference on Parallel Processing 2016 (SIAM-PP16), Paris, FR.
Schornbaum, F., Godenschwager, C., Bauer, M., & Rüde, U. (2016, April). Peta-scale Simulations with the HPC Software Framework waLBerla. Paper presentation at SIAM Conference on Parallel Processing 2016 (SIAM-PP16), Paris, FR.
Bauer, M., Schornbaum, F., Godenschwager, C., Markl, M., Anderl, D., Rüde, U., & Köstler, H. (2015). A Python extension for the massively parallel multiphysics simulation framework waLBerla. International Journal of Distributed and Parallel Systems , 1-14. https://dx.doi.org/10.1080/17445760.2015.1118478
Bauer, M., Hötzer, J., Jainta, M., Steinmetz, P., Berghoff, M., Schornbaum, F.,... Rüde, U. (2015). Massively Parallel Phase-field Simulations for Ternary Eutectic Directional Solidification. In ACM (Eds.), Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 8:1 - 8:12). Austin, US: New York: ACM.

Zuletzt aktualisiert 2019-22-01 um 17:50