2021 [ to top ]

1.
Schlottke-Lakemper, M., Winters, A.R., Ranocha, H., Gassner, G.J.: A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics. Journal of Computational Physics. 442, 110467 (2021).
[ URL ]
 

2.
Ranocha, H., Schlottke-Lakemper, M., Winters, A.R., Faulhaber, E., Chan, J., Gassner, G.: Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing. (2021).
[ URL ]
 

3.
Ranocha, H., Schlottke-Lakemper, M., Chan, J., Rueda-Ramírez, A.M., Winters, A.R., Hindenlang, F., Gassner, G.J.: Efficient implementation of modern entropy stable and kinetic energy preserving discontinuous Galerkin methods for conservation laws. (2021).
[ URL ]
 

4.
Schlottke-Lakemper, M., Gassner, G.J., Ranocha, H., Winters, A.R., Chan, J.: Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs in Julia, https://doi.org/10.5281/zenodo.3996439, (2021).
[ URL ]
 

2020 [ to top ]

1.
Niemöller, A., Schlottke-Lakemper, M., Meinke, M., Schröder, W.: Dynamic Load Balancing for Direct-Coupled Multiphysics Simulations. Computers & Fluids. 199, 104437 (2020).
[ URL ]
 

2019 [ to top ]

1.
Schlottke-Lakemper, M., Niemöller, A., Meinke, M., Schröder, W.: Efficient parallelization for volume-coupled multiphysics simulations on hierarchical Cartesian grids. Computer Methods in Applied Mechanics and Engineering. 352, 461–487 (2019).
[ URL ]
 

2018 [ to top ]

1.
Miller, J., Wienke, S., Schlottke-Lakemper, M., Meinke, M., Müller, M.S.: Applicability of the software cost model COCOMO II to HPC projects. International Journal of Computational Science and Engineering. 17, 283–296 (2018).
[ URL ]
 

2.
Niemöller, A., Schlottke-Lakemper, M., Meinke, M., Schröder, W.: Jet Noise Prediction for Chevron Nozzles using a Direct-Hybrid CFD/CAA Method. Tenth International Conference on Computational Fluid Dynamics (ICCFD10), Barcelona, Spain, July 9-13, 2018 (2018).
 

2017 [ to top ]

1.
Schlottke-Lakemper, M.: A Direct-Hybrid Method for Aeroacoustic AnalysisPhD dissertationhttps://doi.org/10.18154/RWTH-2017-04082 (2017).
[ Abstract ] [ URL ]
 
Hybrid computational fluid dynamics (CFD) - computational aeroacoustics (CAA) schemes are the standard method for aeroacoustics simulations. In this approach, it is necessary to exchange information between the CFD and the CAA step, which is usually accomplished by storing acoustic source data. This data exchange procedure, however, poses two problems when such hybrid methods are used for large-scale problems with O(10^9) degrees of freedom: Firstly, the required disk space becomes large and reaches hundreds of terabytes for a single simulation. Added to that, the parallel scalability of the overall numerical scheme is limited by the available I/O bandwidth, which typically peaks between 5,000 and 10,000 cores. To avoid these problems, a highly scalable direct-hybrid scheme is presented, in which both the flow and the acoustics simulations run simultaneously. That is, all data between the two solvers is transferred in-memory, avoiding the restrictions of the I/O subsystem. Both solvers operate on a joint hierarchical Cartesian grid, which enables efficient parallelization and dynamic load balancing, and which inherently supports local mesh refinement. To demonstrate the capabilities of the new scheme, the aeroacoustic field of a co-rotating vortex pair is computed and the flow-induced noise emissions of a turbulent, isothermal jet are predicted. The results show that the direct-hybrid method is able to accurately capture the sound pressure field and that it is particularly suitable for efficient, highly parallel simulations. Furthermore, in comparison to the classic hybrid method with data exchange via disk I/O, the novel approach shows superior performance when scaling to thousands of cores.

2.
Michael Schlottke-Lakemper, Yu, H., Berger, S., Meinke, M., Wolfgang Schröder: A fully coupled hybrid computational aeroacoustics method on hierarchical Cartesian meshes. Computers & Fluids. 144, 137–153 (2017).
[ URL ]
 

3.
Schlottke-Lakemper, M., Schröder, W.: Optimierte Multiphysik-Simulationen auf Höchstleistungsrechnern. RWTH Themen (2017).
 

4.
Schlottke-Lakemper, M., Yu, H., Berger, S., Meinke, M., Schröder, W.: Optimized simulation of multiscale problems on high-performance computers. PAMM. 17, 137–138 (2017).
[ URL ]
 

5.
Lakemper, M.S., Yu, H., Berger, S., Lintermann, A., Meinke, M., Wolfgang Schröder: The Direct-Hybrid Method for Computational Aeroacoustics on HPC Systems. Lecture Notes in Computer Science. S. 70–81. Springer Nature (2017).
[ URL ]
 

2016 [ to top ]

1.
Lakemper, M.S., Meinke, M., Wolfgang Schröder: A hybrid discontinuous Galerkin-finite volume method for computational aeroacoustics. In: Dillmann, A., Heller, G., Krämer, E., Wagner, C., und Breitsamter, C. (Hrsg.) New Results in Numerical and Experimental Fluid Mechanics X. S. 743–753. Springer International Publishing (2016).
[ URL ]
 

2.
Lakemper, M.S., Klemp, F., Cheng, H.-J., Lintermann, A., Meinke, M., Wolfgang Schröder: CFD/CAA Simulations on HPC Systems. Sustained Simulation Performance 2016. S. 139–157. Springer Nature (2016).
[ URL ]
 

2015 [ to top ]

1.
Schlottke, M., Cheng, H.-J., Lintermann, A., Meinke, M., Wolfgang Schröder: A direct-hybrid method for computational aeroacoustics. AIAA Paper. 2015-3133, - (2015).
[ URL ]
 

2014 [ to top ]

1.
Kraus, J., Schlottke, M., Adinetz, A., Pleiter, D.: Accelerating a C++ CFD Code with OpenACC. Proceedings of the First Workshop on Accelerator Programming Using Directives. S. 47–54. IEEE Press, New Orleans, Louisiana (2014).
[ URL ]