Malte Brunn

Brunn, M., Himthani, N., Biros, G., Mehl, M., Mang, A.: Fast GPU 3D Diffeomorphic Image Registration. arXiv preprint arXiv:2004.08893. (2020).

Brunn, M., Himthani, N., Biros, G., Mehl, M., Mang, A.: Fast 3D diffeomorphic image registration on GPUs. (2019).

Hirschmann, S., Lahnert, M., Schober, C., Brunn, M., Mehl, M., Pflüger, D.: Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications. In: Nagel, W.E., Kröner, D.H., and Resch, M.M. (eds.) High Performance Computing in Science and Engineering ’18. pp. 1--510. Springer International Publishing (2018). https://doi.org/10.1007/978-3-030-13325-2.

Pfander, D., Brunn, M., Pflüger, D.: AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming. In: IPDPS Workshops. pp. 1123–1132. IEEE Computer Society (2018).

Hirschmann, S., Brunn, M., Lahnert, M., Glass, C.W., Mehl, M., Pflüger, D.: Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo. In: Advances in Parallel Computing. pp. 455--464. IOS Press (2017). https://doi.org/10.3233/978-1-61499-843-3-455.

Brunn, M.: Coupling of Particle Simulation and Lattice Boltzmann Background Flow on Adaptive Grids, http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=MSTR-0036&engl=1, (2017).

Brunn, M.: Data-mining on adaptively refined sparse grids with higher order basis functions on GPUs, http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=BCLR-2479&engl=1, (2016).