Jonas Schmitt

Dr.-Ing. Jonas Schmitt, M. Sc.

Department of Computer Science
Chair of Computer Science 10 (System Simulation)

Room 00.122

Research Interests

Iterative and multigrid methods
Evolutionary computation
Machine learning

Projects

I’m currently working on the automatic optimization of multigrid solvers using artificial intelligence. If you’re a Bachelor or Master student and you’re interested in writing a thesis in this area, feel free to contact me.

I’m also on GitHub: https://github.com/jonas-schmitt/evostencils

Publications

2023

Parthasarathy D., Schmitt J., Köstler H.:
Evolving Nonlinear Multigrid Methods With Grammar-Guided Genetic Programming
2023 Genetic and Evolutionary Computation Conference Companion, GECCO 2023 Companion (Lisbon, PRT, 15. July 2023 - 19. July 2023)
In: GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion 2023
DOI: 10.1145/3583133.3590734

2022

Schmitt J., Köstler H.:
Evolving Generalizable Multigrid-Based Helmholtz Preconditioners with Grammar-Guided Genetic Programming
Genetic and Evolutionary Computation Conference (GECCO ’22) (Boston, Massachusetts, 9. July 2022 - 13. July 2022)
In: Association for Computing Machinery (ed.): Proceedings of the Genetic and Evolutionary Computation Conference 2022
DOI: 10.1145/3512290.3528688

2021

Ravedutti Lucio Machado R., Schmitt J., Eibl S., Eitzinger J., Leißa R., Hack S., Pérard-Gayot A., Membarth R., Köstler H.:
tinyMD: Mapping molecular dynamics simulations to heterogeneous hardware using partial evaluation
In: Journal of Computational Science 54 (2021), Article No.: 101425
ISSN: 1877-7503
DOI: 10.1016/j.jocs.2021.101425
Schmitt J., Kuckuk S., Köstler H.:
EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods
In: Genetic Programming and Evolvable Machines (2021)
ISSN: 1389-2576
DOI: 10.1007/s10710-021-09412-w
URL: http://link.springer.com/article/10.1007/s10710-021-09412-w
Sobania D., Schmitt J., Köstler H., Rothlauf F.:
Genetic programming for iterative numerical methods
In: Genetic Programming and Evolvable Machines (2021)
ISSN: 1389-2576
DOI: 10.1007/s10710-021-09425-5

2020

Lengauer C., Apel S., Bolten M., Chiba S., Rüde U., Teich J., Größlinger A., Hannig F., Köstler H., Claus L., Grebhahn A., Groth S., Kronawitter S., Kuckuk S., Rittich H., Schmitt C., Schmitt J.:
ExaStencils: Advanced multigrid solver generation
In: Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel (ed.): Lecture notes in computational science and engineering, Cham: Springer, 2020, p. 405-452 (Software for Exascale Computing SPPEXA 2016 – 2019, Vol.136)
ISBN: 978-3-030-47955-8
DOI: 10.1007/978-3-030-47956-5
URL: https://library.oapen.org/bitstream/handle/20.500.12657/41289/2020_Book_SoftwareForExascaleComputing-S.pdf?sequence=1#page=411
Lengauer C., Apel S., Bolten M., Chiba S., Rüde U., Teich J., Größlinger A., Hannig F., Köstler H., Claus L., Grebhahn A., Groth S., Kronawitter S., Kuckuk S., Rittich H., Schmitt C., Schmitt J.:
ExaStencils – Advanced Multigrid Solver Generation
In: Hans-Joachim Bungartz, Severin Reiz, Philipp Neumann, Benjamin Uekermann, Wolfgang Nagel (ed.): Software for Exascale Computing – SPPEXA 2016-2019, Springer, 2020, p. 405-452 (Lecture Notes in Computer Science and Engineering, Vol.136)
ISBN: 978-3-030-47955-8
DOI: 10.1007/978-3-030-47956-5_14
URL: https://www12.cs.fau.de/downloads/hannig/publications/ExaStencils_Advanced_Multigrid_Solver_Generation.pdf
Schmitt J., Kuckuk S., Köstler H.:
Constructing Efficient Multigrid Solvers with Genetic Programming
Genetic and Evolutionary Computation Conference (GECCO '20) (Cancún, 8. July 2020 - 12. July 2020)
In: Association for Computing Machinery (ed.): Proceedings of the 2020 Genetic and Evolutionary Computation Conference, New York, NY, USA: 2020
DOI: 10.1145/3377930.3389811

2019

Schmitt J., Kuckuk S., Köstler H.:
Towards the automatic optimization of geometric multigrid methods with evolutionary computation
19th Copper Mountain Conference On Multigrid Methods (Copper Mountain, Colorado, 24. March 2019 - 28. March 2019)
DOI: 10.29007/1c29
URL: https://easychair.org/smart-slide/slide/7g69

2018

Schmitt J., Köstler H., Eitzinger J., Membarth R.:
Unified Code Generation for the Parallel Computation of Pairwise Interactions using Partial Evaluation
17th International Symposium on Parallel and Distributed Computing (ISPDC) (Geneva, 25. June 2018 - 28. June 2018)
In: IEEE (ed.): Proceedings of the 17th International Symposium on Parallel and Distributed Computing (ISPDC) 2018
DOI: 10.1109/ISPDC2018.2018.00012
URL: https://ieeexplore.ieee.org/document/8452015/
Schmitt J., Köstler H., Eitzinger J., Membarth R., Pérard-Gayot A.:
Unified Code Generation for the Parallel Computation of Pairwise Interactions using Partial Evaluation
International Symposium on Computational Science at Scale (CoSaS) (Erlangen, 5. September 2018 - 7. September 2018)
DOI: 10.1109/ispdc2018.2018.00012
URL: https://graphics.cg.uni-saarland.de/papers/schmitt-2018-cosas-poster.pdf

2016

Schmitt J., Köstler H.:
A Multi-Objective Genetic Algorithm for Simulating Optimal Fights in StarCraft II
IEEE Conference on Computational Intelligence and Games (CIG) (Santorini, 20. September 2016 - 23. September 2016)
In: IEEE (ed.): 2016 IEEE Conference on Computational Intelligence and Games (CIG) 2016
DOI: 10.1109/CIG.2016.7860422
URL: https://ieeexplore.ieee.org/document/7860422/

2015

Schmitt J., Seufert S., Zoubek C., Köstler H.:
Potential-Field-Based Unit Behavior Optimization for Balancing in StarCraft II
Genetic and Evolutionary Computation Conference (GECCO) (Madrid, 11. July 2015 - 15. July 2015)
In: ACM (ed.): GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation 2015
DOI: 10.1145/2739482.2764643
URL: https://dl.acm.org/citation.cfm?id=2764643