Dr. rer. nat. Michael Obersteiner

Technische Universität München

Institut für Informatik
Boltzmannstrasse 3
85748 Garching
Germany

Office: MI 02.05.053
Mail: oberstei (at) in.tum.de 

Tel: +49-89-289-18603
Fax: +49-89-289-18607
Office Hours: by arrangement

 

Background

  • Started stuides in Biochemistry in 2010
  • Switched to Computer Science in 2011 and finished M.Sc. in 2016
  • Currently working on my dissertation in Computer Science with a focus on high dimensional numerics and the Sparse Grid Combination Technique

Research interests

  • Molecular Dynamics
  • HPC
  • Combination technique
  • Sparse Grids Methods
  • Machine Learning

Projects

DisCoTec (distributed Combination Technique):

A C++ code that targets exascale computing with the Combination Technique for time-dependent PDEs. It was created in the course of the EXAHD project founded by the DFT and was part of SPPEXA. The code is parallelized via MPI and offers massively parallel execution of PDEs with arbitrary black box solvers that are provided by the user and integrated via adapters. The code is open-source and can be found on Github:

https://github.com/SGpp/DisCoTec

sparseSpACE (the Sparse Grid spatially adaptive combination environment):

A python code that implements the spatially adaptive variants of the Combination Technique developed during my disseration. It is designed to support arbitrary operations on the generated grids so that it potentially targets all Sparse Grid and Combination Technique applications. Currently there are implementations for numerical integration and interpolation, Uncertainty Quantification, Machine Learning with Density Estimation and PDE simulations. The code is open-source and published on Github:

https://github.com/obersteiner/sparseSpACE

 

Teaching

  • Übungsleitung Algorithms for Scientific Computing SS18, SS19
  • Übungsleitung Numerisches Programmieren SoSe 2017, WiSe 2017/18, WiSe 2018/2019, WiSe 2019/2020
  • Tutor Diskrete Strukturen, WiSe 2016/2017

Tutor for many years in Numerical Programming

Open and Running Student Projects

Open Hiwi Positions

Open Student Projects

see: https://www5.in.tum.de/wiki/index.php/Projects_in_Sparse_Grids_and_High_Dimensional_Approximation

You can also come to my office and discuss possible topics.

Running Student Projects

  • P. Resch: Adaptive Romberg-Quadrature for the Sparse Grid Combination Technique, Bachelor's Thesis, Fakultät für Informatik, Informatics, since May 2020

Finished Student Projects

2022

  • Markus Englberger: Using the Spatially Adaptive Combination Technique for Efficient Quantification of Uncertainty in Hydrological Models. Bachelor thesis, 2022 more… BibTeX Full text (mediaTUM)

2021

  • Maximilian Michallik: Adaptive Regression with the Spatially Adaptive Combination Technique. Bachelor thesis, 2021 more… BibTeX Full text (mediaTUM)
  • Pascal Resch: Adaptive Romberg-Quadrature for the Sparse Grid Combination Technique. Bachelor thesis, 2021 more… BibTeX
  • Sonja Doppelfeld: Hyperparameter Optimization for Machine Learning Applications with the Sparse Grid Density Estimation. Bachelor thesis, 2021 more… BibTeX Full text (mediaTUM)

2020

2019

2018

  • Damerow, David: Coupling general purpose PDE solvers with a Combination Technique Framework. Bachelor's thesis, 2018 more… BibTeX
  • Hendrik Möller: Dimension-wise Spatial-adaptive Refinement with the Sparse Grid Combination Technique. Bachelor thesis, 2018 more… BibTeX Full text (mediaTUM)
  • Molzer, Martin: Implementation of a Parallel Sparse Grid Combination Technique for Variable Process Group Sizes. Bachelor's thesis, 2018 more… BibTeX
  • Philipp Zetterer: Investigation of Cluster Analysis Algorithms Using Radio Measurement Data of Public Mobile Networks. Master thesis, 2018 more… BibTeX
  • Thomas Bellebaum: Evaluation of different time-synchronization schemes for the combination technique. Bachelor thesis, 2018 more… BibTeX Full text (mediaTUM)

2017

  • Boschko, Dmitrij: Orthogonal Matrix Decomposition for Adaptive Sparse Grid Density Estimation Methods. Bachelor's thesis, 2017 more… BibTeX

Publications

2022

  • Michael Obersteiner; Hans-Joachim Bungartz: A Spatially Adaptive Sparse Grid Combination Technique for Numerical Quadrature. Sparse Grids and Applications - Munich 2018, 2022, 161-185 more… BibTeX Full text ( DOI )

2021

  • Obersteiner, Michael; Bungartz, Hans-Joachim: A Generalized Spatially Adaptive Sparse Grid Combination Technique with Dimension-wise Refinement. SIAM Journal on Scientific Computing 43 (4), 2021, A2381-A2403 more… BibTeX Full text ( DOI )

2020

  • Rafael Lago; Michael Obersteiner; Theresa Pollinger; Johannes Rentrop; Hans-Joachim Bungartz; Tilman Dannert; Michael Griebel; Frank Jenko; Dirk Pflüger: EXAHD: A Massively Parallel FaultTolerant Sparse Grid Approach for High-Dimensional Turbulent Plasma Simulations. In: Hans-Joachim Bungartz, Severin Reiz; Benjamin Uekermann; Philipp Neumann; Wolfgang E. Nagel (Ed.): Software for Exascale Computing - SPPEXA 2016-2019. Springer, 2020, 301-329 more… BibTeX Full text ( DOI )

2019

  • Michael Obersteiner, Hans-Joachim Bungartz: A Spatially Adaptive Sparse Grid Combination Technique for Numerical Quadrature. Sparse Grids and Applications - Munich 2018, Springer Verlag, 2019 more… BibTeX

2018

  • Heene, Mario; Parra Hinojosa, Alfredo; Obersteiner, Michael; Bungartz, Hans-Joachim; Pflüger, Dirk: EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond. In: Nagel, Wolfgang; Kröner, Dietmar; Resch, Michael (Ed.): High Performance Computing in Science and Engineering ' 17. Springer-Verlag, 2018 more… BibTeX

2017

  • Obersteiner, Michael; Parra Hinojosa, Alfredo; Heene, Mario; Bungartz, Hans-Joachim; Pflüger, Dirk: A Highly Scalable, Algorithm-Based Fault-Tolerant Solver for Gyrokinetic Plasma Simulations. ScalA '17: Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2017 more… BibTeX
  • Tchipev, Nikola; Gallard, Jean-Matthieu; Gratl, Fabio; Obersteiner, Michael; Neumann, Philipp; Bungartz, Hans-Joachim: A Highly Optimized Implementation of the Fast Multipole Method within the Molecular Dynamics Code ls1-mardyn – 4th International Conference on Computational Engineering (ICCE 2017). 2017, more… BibTeX

2016

2014

Talks

2019

  • Michael Obersteiner: A Spatially Adaptive Sparse Grid Combination Technique. (Talk / Chair Meeting) 2019 more…

2018

  • Obersteiner, Michael; Bungartz, Hans-Joachim: A spatially adaptive Sparse Grid Combination Technique. (Talk / SGA2018) 2018 more…
  • Obersteiner, Michael; Bungartz, Hans-Joachim; Pflüger, Dirk: A Highly Scalable, Fault-Tolerant Implementation of the Sparse Grid Combination Technique. (Talk / PASC18) 2018 more…
  • Obersteiner, Michael; Bungartz, Hans-Joachim; Pflüger, Dirk: A Highly Scalable, Fault-Tolerant Implementation of the Sparse Grid Combination Technique. (Talk / SGA2018) 2018 more…
  • Obersteiner, Michael; Lago, Rafael: EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach. (Talk) 2018 more…
  • Obersteiner, Michael; Parra Hinojosa, Alfredo; Heene, Mario; Bungartz, Hans-Joachim; Pflüger, Dirk: An Algorithm-Based Fault-Tolerant Framework for High-dimensional PDEs. (Talk) 2018 more…

2017

  • Heene, Mario; Parra Hinojosa, Alfredo; Obersteiner, Michael; Bungartz, Hans-Joachim; Pflüger, Dirk: EXAHD - An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond. (Talk) 2017 more…
  • Obersteiner, Michael; Parra Hinojosa, Alfredo; Heene, Mario; Bungartz, Hans-Joachim; Pflüger, Dirk: A Highly-Scalable, Algorithm-Based Fault-Tolerant Solver for Gyrokinetic Plasma Simulations. (Talk) 2017 more…
  • Obersteiner, Michael; Parra Hinojosa, Alfredo; Heene, Mario; Bungartz, Hans-Joachim; Pflüger, Dirk: A Highly Scalable, Algorithm-Based Fault-Tolerant Solver for Gyrokinetic Plasma Simulations. (Talk) 2017 more…
  • Obersteiner, Michael; Tchipev, Nikola; Neumann, Philipp; Bungartz, Hans-Joachim: A highly scalable MPI parallelization of the Fast Multipole Method. (Talk) 2017 more…

Posters

2022

  • Ivana Jovanovic Buha; Michael Obersteiner; Tobias Neckel; Hans-Joachim Bungartz: Efficient Uncertainty Quantification and Global Time-Varying Sensitivity Analysis Using the Spatially Adaptive Combination Technique. SIAM Conference on Uncertainty Quantification (UQ22), SIAM, 2022Atlanta, Georgia more…