ASCETE: Publications

Publications

Published/accepted:

Uphoff, C. and M. Bader (2016): Generating high performance matrix kernels for earthquake simulations with viscoelastic attenuation. In: The 2016 International Conference on High Performance Computing & Simulation (HPCS 2016), pp. 908-916. DOI: 10.1109/HPCSim.2016.7568431.
Breuer, A., A. Heinecke and M. Bader (2016): Petascale Local Time Stepping for the ADER-DG Finite Element Method. In: 2016 IEEE International Parallel & Distributed Processing Symposium, pp. 854–863, DOI: 10.1109/IPDPS.2016.109.
Rettenberger, S., O. Meister, M. Bader and A.-A. Gabriel (2016): ASAGI - A Parallel Server for Adaptive Geoinformation. In: Proceedings of the Exascale Applications and Software Conference 2016 (EASC16), pp. 2:1–2:9, DOI: 10.1145/2938615.2938618.
Meister, O., K. Rahnema and M. Bader (2016): Parallel Memory Efficient Adaptive Mesh Refinement on Structured Triangular Meshes with Billions of Grid Cells. ACM Transactions on Mathematical Software, 43(3), pp. 19:1–19:27, DOI: 10.1145/2947668.
Drähne, U., N. Goseberg, S. Vater, N. Beisiegel and J. Behrens (2016): An Experimental and Numerical Study of Long Wave Run-Up on a Plane Beach. J. Mar. Sci. Eng., 4, pp. 1-23, DOI: 10.3390/jmse4010001.
Castro, C.E., J. Behrens and C. Pelties (2016): Optimization of the ADER-DG method in GPU applied to linear hyperbolic PDEs. Int. J. Numer. Meth. Fluids, 81(4), pp. 195-219, DOI: 10.1002/fld.4179.
Vater, S., N. Beisiegel, and J. Behrens (2015): A Limiter-Based Well-Balanced Discontinuous Galerkin Method for Shallow-Water Flows with Wetting and Drying: One-Dimensional Case. Advances in Water Resources, 85, pp. 1-13, DOI: 10.1016/j.advwatres.2015.08.008.
Beisiegel, N. and J. Behrens (2015): Quasi-nodal third-order Bernstein polynomials in a discontinuous Galerkin model for flooding and drying. Environmental Earth Sciences, 74(11), pp. 7275-7284, DOI: 10.1007/s12665-015-4745-4.
Behrens, J. and F. Dias (2015): New computational methods in tsunami science. Phil. Trans. R. Soc. A., 373(2053), DOI: 10.1098/rsta.2014.0382.
Vater, S. (2015): (Adaptive) Tsunami Modelling with Discontinuous Galerkin Schemes. In: Recent Developments in the Numerics of Nonlinear Hyperbolic Conservation Laws, Oberwolfach Reports, 12(3), pp. 2466-2469, DOI: 10.4171/OWR/2015/41.
Vater, S., N. Beisiegel and J. Behrens (2015): Comparison of a new wetting and drying RKDG2 method with classical finite volume based second-order hydrostatic reconstruction. In: Workshop on Advances in Numerical Modelling of Hydrodynamics, Sheffield University.
Galvez, P. (2015): 3D dynamic rupture modeling in geometrically complex fault systems: The 2011 Mw 9.0 Tohoku earthquake. PhD Thesis ETH Zurich.
Breuer, A., A. Heinecke, M. Bader and C. Pelties (2014): Accelerating SeisSol by Generating Vectorized Code for Sparse Matrix Operators. In: M. Bader et al. (eds.), Parallel Computing – Accelerating Computational Science and Engineering (CSE), vol. 25 of Advances in Parallel Computing, IOS Press, DOI: 10.3233/978-1-61499-381-0-347.
Breuer, A., A. Heinecke, S. Rettenberger, M. Bader, A.-A. Gabriel and C. Pelties (2014): Sustained Petascale Performance of Seismic Simulations with SeisSol on SuperMUC. In: J. M. Kunkel et al. (eds.), Supercomputing - 29th International Conference, ISC 2014, vol. 8488 of Lecture Notes in Computer Science, pp. 1-18, Springer, DOI: 10.1007/978-3-319-07518-1_1.
Galvez, P., J.-P. Ampuero, L. A. Dalguer, S. N. Somala, and T. Nissen-Meyer:
Dynamic earthquake rupture modelled with an unstructured 3-D spectral element method applied to the 2011 M9 Tohoku earthquake. Geophys. J. Int., 198(2), pp. 1222-1240, DOI: 10.1093/gji/ggu203
Heinecke, A., A. Breuer, S. Rettenberger, M. Bader A.-A. Gabriel, C. Pelties, A. Bode, W. Barth, X.-K. Liao, K. Vaidyanathan, M. Smelyanskiy and P. Dubey (2014): Petascale High Order Dynamic Rupture Earthquake Simulations on Heterogeneous Supercomputers. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC '14. pp. 3-14, IEEE Press. DOI: 10.1109/SC.2014.6
Kunst, O. and J. Behrens (2014): Theoretical Measures of Cache-Efficiency for Tetrahedral Adaptive Meshes – A Case Study with a quasi Space-Filling Curve Order. In: M. Bader et al. (eds.), Parallel Computing: Accelerating Computational Science and Engineering (CSE), vol. 25 of Advances in Parallel Computing, pp. 833-842, IOS Press, DOI: 10.3233/978-1-61499-381-0-833.
Vater, S. and J. Behrens (2014): Well-balanced Inundation Modeling for Shallow-Water Flows with Discontiuous Galerkin Schemes, In: J. Fuhrmann, M. Ohlberger and Ch. Rohde (eds.), Finite Volumes for Complex Applications VII - Elliptic, Parabolic, and Hyperbolic Problems, vol. 78 of Springer Proceedings in Mathematics & Statistics, pp. 965-973, DOI: 10.1007/978-3-319-05591-6_98.
Castro, C., J. Behrens and C. Pelties, (2013): CUDA-C implementation of the ADER-DG method for linear hyperbolic PDEs, Geosci. Model Dev. Discuss., 6, pp. 3743–3786, DOI: 10.5194/gmdd-6-3743-2013.
Pelties, C., A. Gabriel and J.-P. Ampuero (2014), Verification of an ADER-DG method for complex dynamic rupture problems, Geosci. Model Dev., 7, pp. 847–866, DOI: 10.5194/gmd-7-847-2014.
Pelties, C., J. De La Puente, J.-P. Ampuero, G. Brietzke and M. Käser (2012): Three-Dimensional Dynamic Rupture Simulation with a High-order Discontinuous Galerkin Method on Unstructured Tetrahedral Meshes, J. Geophys. Res. – Solid Earth, 117, B02309, DOI: 10.1029/2011JB008857.

Most Important Previous Work

Meister, O., K. Rahnema and M. Bader (2012): A Software Concept for Cache-Efficient Simulation on Dynamically Adaptive Structured Triangular Grids. In: K. De Bosschere, E.H. D'Hollander, G.R. Joubert, D. Padua, F. Peters, and M. Sawyer (eds.), Applications, Tools and Techniques on the Road to Exascale Computing, vol. 22 of Advances in Parallel Computing, pp. 251–260. IOS Press, Gent, DOI: 10.3233/978-1-61499-041-3-251.
Androsov, A., J. Behrens, and S. Danilov (2011): Tsunami Modelling with Unstructured Grids. Interaction between Tides and Tsunami Waves. In: E. Krause, Y. Shokin, M. Resch, D. Kröner, and N. Shokina (eds.), Computational Science and High Performance Computing IV, Springer Berlin/Heidelberg, vol. 115 of Notes on Numerical Fluid Mechanics and Multidisciplinary Design, pp. 191-206, DOI: 10.1007/978-3-642-17770-5_15.
Bader, M., C. Böck, J. Schwaiger, and C. A. Vigh (2010): Dynamically Adaptive Simulations with Minimal Memory Requirement - Solving the Shallow Water Equations Using Sierpinski Curves. SIAM Journal of Scientific Computing 32(1), pp. 212–228, DOI: 10.1137/080728871.
Behrens, J., A. Androsov, A.Y. Babeyko, S. Harig, F. Klaschka and L. Mentrup (2010): A new multi-sensor approach to simulation assisted tsunami early warning. Natural Hazards and Earth System Sciences 10, pp. 1085-1100, DOI: 10.5194/nhess-10-1085-2010.
Behrens, J., and M. Bader (2009): Efficiency Considerations in Triangular Adaptive Mesh Refinement. Philosophical Transactions of the Royal Society A 367(1907), pp. 4577-4589, DOI: 10.1098/rsta.2009.0175.
Bader, M., S. Schraufstetter, C. A. Vigh, and J. Behrens (2008): Memory Efficient Adaptive Mesh Generation and Implementation of Multigrid Algorithms Using Sierpinski Curves. International Journal of Computational Science and Engineering 4(1), pp. 12–21, DOI: 10.1504/IJCSE.2008.021108.
Harig, S., Chaeroni, W.S. Pranowo, and J. Behrens (2008):Tsunami simulations on several scales: Comparison of approaches with unstructured meshes and nested grids. Ocean Dynamics 58(5-6), pp. 429-440, DOI: 10.1007/s10236-008-0162-5.
Läuter, M., D. Handorf, N. Rakowsky, J. Behrens, S. Frickenhaus, M. Best, K. Dethloff, and W. Hiller (2007): A Parallel Adaptive Barotropic Model of the Atmosphere. Journal of Computational Physics 223(2), pp. 609-628, DOI: 10.1016/j.jcp.2006.09.029.