This image shows Mirco Altenbernd

Mirco Altenbernd

M. Sc.

Research assistant
Institute of Applied Analysis and Numerical Simulation
Chair Computational Mathematics for Complex Simulation in Science and Engineering

Contact

Allmandring 5b
70569 Stuttgart
Deutschland
Room: 0.39

Office Hours

by appointment

Subject

  • Multigrid methods
  • Fault tolerance
  • Compression techniques
  1. E. Agullo et al., “Resiliency in numerical algorithm design for extreme scale simulations,” The International Journal of High Performance ComputingApplications, vol. 36, no. 2, Art. no. 2, 2022, doi: 10.1177/10943420211055188.
  2. M. Altenbernd, N.-A. Dreier, C. Engwer, and D. Göddeke, “Towards Local-Failure Local-Recovery in PDE Frameworks: The Case of Linear Solvers,” in High Performance Computing in Science and Engineering -- HPCSE 2019, T. Kozubek, P. Arbenz, J. Jaros, L. Ríha, J. Sístek, and P. Tichý, Eds., in High Performance Computing in Science and Engineering -- HPCSE 2019, vol. 12456. Springer, Jan. 2021, pp. 17--38. doi: 10.1007/978-3-030-67077-1_2.
  3. T. Benacchio et al., “Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction,” The International Journal of High Performance Computing Applications, vol. 35, no. 4, Art. no. 4, Feb. 2021, doi: 10.1177/1094342021990433.
  4. J. Schmalfuss, C. Riethmüller, M. Altenbernd, K. Weishaupt, and D. Göddeke, “Partitioned coupling vs. monolithic block-preconditioning approaches for solving Stokes-Darcy systems,” in Proceedings of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS), in Proceedings of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS). 2021. doi: 10.23967/coupled.2021.043.
  5. P. Bastian et al., “Exa-Dune - Flexible PDE Solvers, Numerical Methods and Applications,” in Software for Exascale Computing -- SPPEXA 2016--2019, H.-J. Bungartz, S. Reiz, B. Uekermann, P. Neumann, and W. E. Nagel, Eds., in Software for Exascale Computing -- SPPEXA 2016--2019. , Springer, 2020, pp. 225--269. doi: 10.1007/978-3-030-47956-5_9.
  6. M. Altenbernd and D. Göddeke, “Soft fault detection and correction for multigrid,” The International Journal of High Performance Computing Applications, vol. 32, no. 6, Art. no. 6, Nov. 2018, doi: 10.1177/1094342016684006.
  7. C. Engwer, M. Altenbernd, N.-A. Dreier, and D. Göddeke, “A high-level C++ approach to manage local errors, asynchrony and  faults in an MPI application,” in Proceedings of the 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2018), in Proceedings of the 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2018). Mar. 2018.
  8. D. Göddeke, M. Altenbernd, and D. Ribbrock, “Fault-tolerant finite-element multigrid algorithms with hierarchically  compressed asynchronous checkpointing,” Parallel Computing, vol. 49, pp. 117–135, 2015, doi: 10.1016/j.parco.2015.07.003.
  2010 Abitur, Don-Bosco Gymnasium Essen
2013 B.Sc. Technomathematik, TU Dortmund
Numerischer Vergleich nichtlinearer und linearer Mehrgitterverfahren zum Lösen von partiellen Differentialgleichungen
2015 M.Sc. Technomathematik, TU Dortmund
Konzepte für fehlertolerante Mehrgitterverfahren
since 2015 Research assistant, University of Stuttgart
Chair of Computational Mathematics for Complex Simulation in Science and Engineering (CMCS)

 

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