Michael Obersteiner, M.Sc.

Address:

TU München

Institut für Informatik

Boltzmannstr. 3

85748 Garching b. München

Office:

MI 02.05.043

Email:

Phone:

(089) 289 18 636

Fax:

(089) 289 18 607

Office Hours:

by arrangement

Research interests

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

Student Projects

Open Hiwi Positions

Developing a testing-framework for the distributed combination technique:

• In this Hiwi position students create and manage an automatic test environment using Jenkins within Gitlab. In addition the existing code will be extended by several unit tests to facilitate the code development. Good C++ knowledge is advised and testing experience would be helpful.

Workload: around 8h/week

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

• S. Shenoy: Towards Non-blocking Combination Schemes in the Sparse Grid Combination Technique
  Master's thesis, Fakultät für Informatik, CSE, since December 2017
• D. Boschko: Generalization and Parallelization of Sherman-Morrison System Matrix Updates for Sparse Grid Density Estimation
  IDP, Fakultät für Informatik, Informatics, since February 2018
• S. Griebel: Implementation of the dimension-adaptive Combination Technique into a parallel Framework
  IDP, Fakultät für Informatik, Informatics, since March 2018

Finished Student Projects

• F. Schwaiger: Simulation eines Dammbruchszenarios
  MSE research project, MSE, November 2017

Teaching

• Übungsleitung Numerisches Programmieren, WiSe 2017/18
• Übungsleitung Numerisches Programmieren, SoSe 2017
• Tutor Diskrete Strukturen, WiSe 2016/2017

Tutor for many years in Numerical Programming

Talks

• M. Obersteiner, H.-J. Bungartz and D. Pflüger: A Highly Scalable, Fault-Tolerant Implementation of the Sparse Grid Combination Technique [BibTeX].
  SGA2018, Garching, July 2018.
• M. Obersteiner and H.-J. Bungartz: A spatially adaptive Sparse Grid Combination Technique [BibTeX].
  SGA2018, Garching, July 2018.
• M. Obersteiner, H.-J. Bungartz and D. Pflüger: A Highly Scalable, Fault-Tolerant Implementation of the Sparse Grid Combination Technique [BibTeX].
  PASC18, Basel, July 2018.
• M. Obersteiner and R. Lago: EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach [BibTeX].
  SPPEXA Annual Plenary Meeting 2018, Garching, March 2018.
• M. Obersteiner, A. Parra Hinojosa, M. Heene, H.-J. Bungartz and D. Pflüger: An Algorithm-Based Fault-Tolerant Framework for High-dimensional PDEs [BibTeX].
  SIAM Conference on Parallel Processing for Scientific Computing 2018, Tokyo, March 2018.
• M. Obersteiner, A. Parra Hinojosa, M. Heene, H.-J. Bungartz and D. Pflüger: A Highly Scalable, Algorithm-Based Fault-Tolerant Solver for Gyrokinetic Plasma Simulations [BibTeX].
  ScalA'17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Denver, Colorado, November 2017.
• M. Heene, A. Parra Hinojosa, M. Obersteiner, H.-J. Bungartz and D. Pflüger: EXAHD - An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond [BibTeX].
  High Performance Computing in Science & Engineering - 20th Results and Review Workshop of the HLRS, Stuttgart, HLRS, October 2017.
• N. Tchipev, J.-M. Gallard, F. Gratl, M. Obersteiner, P. Neumann and H.-J. Bungartz: A Highly Optimized Implementation of the Fast Multipole Method within the Molecular Dynamics Code ls1-mardyn [BibTeX].
  4th International Conference on Computational Engineering (ICCE 2017), Darmstadt, Germany, September 2017.
• M. Obersteiner, A. Parra Hinojosa, M. Heene, H.-J. Bungartz and D. Pflüger: A Highly-Scalable, Algorithm-Based Fault-Tolerant Solver for Gyrokinetic Plasma Simulations [BibTeX].
  ParCo 2017, Bologna, September 2017.
• M. Obersteiner, N. Tchipev, P. Neumann and H.-J. Bungartz: A highly scalable MPI parallelization of the Fast Multipole Method [BibTeX].
  PARNUM 2017, Waischenfeld, April 2017.