Markus Huber



Organisation


Lehrstuhl für Informatik 10 (Systemsimulation)


Publications (Download BibTeX)

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Bauer, S., Huber, M., Ghelichkhan, S., Mohr, M., Rüde, U., & Wohlmuth, B.I. (2019). Large-scale simulation of mantle convection based on a new matrix-free approach. Journal of Computational Science, 31, 60--76. https://dx.doi.org/10.1016/j.jocs.2018.12.006
Huber, M., Rüde, U., & Wohlmuth, B.I. (2018). Adaptive control in roll-forward recovery for extreme scale multigrid. International Journal of High Performance Computing Applications, 1-31. https://dx.doi.org/10.1177/1094342018817088
Bartuschat, D., Gmeiner, B., Thönnes, D., Kohl, N., Rüde, U., Drzisga, D.P.,... Bunge, H.-P. (2018). A Finite Element Multigrid Framework for 
Extreme-Scale Earth Mantle Convection Simulations. In Proceedings of the SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 18). Tokyo, JP.
Bartuschat, D., Gmeiner, B., Thönnes, D., Kohl, N., Rüde, U., Drzisga, D.,... Bunge, H.-P. (2018). A Finite Element Multigrid Framework for 
Extreme-Scale Earth Mantle Convection Simulations. In Proceedings of the SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 18). Tokyo, JP.
Bauer, S., Huber, M., Mohr, M., Rüde, U., & Wohlmuth, B.I. (2018). A New Matrix-Free Approach for Large-Scale Geodynamic Simulations and its Performance. In International Conference on Computational Science (pp. 17--30).
Huber, M., Rüde, U., Waluga, C., & Wohlmuth, B.I. (2018). Surface Couplings for Subdomain-Wise Isoviscous Gradient Based Stokes Finite Element Discretizations. Journal of Scientific Computing, 74(2), 895--919. https://dx.doi.org/10.1007/s10915-017-0470-3
Bartuschat, D., Rüde, U., Thönnes, D., Kohl, N., Drzisga, D.P., Huber, M.,... Bunge, H.-P. (2017). A parallel finite element multigrid framework for geodynamic simulations with more than ten trillion unknowns. In Proceedings of the CSEConf2017 -- 2017 International Conference on Computational Science and Engineering - Software, Education, and Biomedical applications. Oslo, Norwegen.
Gmeiner, B., Huber, M., John, L., Rüde, U., & Wohlmuth, B.I. (2016). A quantitative performance study for Stokes solvers at the extreme scale. Journal of Computational Science, 17(1), 509-521. https://dx.doi.org/10.1016/j.jocs.2016.06.006
Huber, M., Rüde, U., Waluga, C., & Wohlmuth, B.I. (2016). Highly sparse surface couplings for subdomain-wise isoviscous Stokes finite element discretizations. arXiv publication.
Bauer, S., Bunge, H.-P., Drzisga, D.P., Gmeiner, B., Huber, M., John, L.,... Wohlmuth, B.I. (2016). Hybrid Parallel Multigrid Methods for Geodynamical Simulations. In Bungartz H., Neumann P., Nagel E. (Eds.), 113. (pp. 211-235). Berlin, Heidelberg, New York: Springer.

Last updated on 2018-18-07 at 04:31