Personal tools

Christoph Kowitz, M.Sc. (hons)

From Sccswiki

Jump to: navigation, search
Address:
TU München
Institute For Advanced Study
85748 Garching b. München
Office:
1.008 (IAS)
Email:
Kowitzmail.png
Phone:
(089) 289 10583
Fax:
Office Hours:
by arrangement

Publications

  • P. Neumann, C. Kowitz, F. Schranner and D. Azarnykh: Interdisciplinary teamwork in HPC education: Challenges, concepts, and outcomes [BibTeX].
    In Journal of Parallel and Distributed Computing. Elsevier, January 2017.
  • C. Kowitz: Applying the Sparse Grid Combination Technique in Linear Gyrokinetics [BibTeX].
    Dissertation, Technische Universität München, January 2016.
  • P. Neumann, C. Kowitz, F. Schranner and D. Azarnykh: Teamwork Across Disciplines: High-Performance Computing Meets Engineering [BibTeX].
    In Euro-Par 2015: Parallel Processing Workshops, Volume 9523 of Lecture Notes in Computer Science, p. 125–134. Springer, Vienna, June 2015.
  • Y. Wu, C. Kowitz, A. Salama and S. Sun: Speeding up the flash calculations in two-phase compositional flow simulations – The application of sparse grids [BibTeX].
    In Journal of Computational Physics, Volume 285, p. 88–99, March 2015.
  • B. Peherstorfer, C. Kowitz, D. Pflüger and H.-J. Bungartz: Selected Recent Applications of Sparse Grids [] [BibTeX].
    In Numerical Mathematics: Theory, Methods and Applications, Volume 8(01), p. 47–77. Cambridge Journals, February 2015.
  • A. Parra Hinojosa, C. Kowitz, M. Heene, D. Pflüger and H.-J. Bungartz: Towards a fault-tolerant, scalable implementation of GENE [BibTeX].
    In Proceedings of ICCE 2014 of Lecture Notes in Computational Science and Engineering. Springer-Verlag, 2015. Accepted.
  • D. Pflüger, H.-J. Bungartz, M. Griebel, F. Jenko, T. Dannert, M. Heene, A. Parra Hinojosa, C. Kowitz and P. Zaspel: EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond [BibTeX].
    In Euro-Par 2014: Parallel Processing Workshops of Lecture Notes in Computer Science. Springer-Verlag, September 2014. accepted.
  • M. Heene, C. Kowitz and D. Pflüger: Load Balancing for Massively Parallel Computations with the Sparse Grid Combination Technique [BibTeX].
    In M. Bader, H.-J. Bungartz, A. Bode, M Gerndt and G.R. Joubert (ed.), Parallel Computing: Accelerating Computational Science and Engineering (CSE), Volume 25 of Advances in Parallel Computing, p. 574––583. IOS Press, Amsterdam, March 2014.
  • C. Kowitz and M. Hegland: An Opticom Method for Computing Eigenpairs [BibTeX].
    In J. Garcke and D. Pflüger (ed.), Sparse Grids and Applications - Munich 2012, Volume 97(10) of Lecture Notes in Computational Science and Engineering, p. 239–253. Springer International Publishing, 2014.
  • J. W. Larson, M. Hegland, B. Harding, S. Roberts, L. Stals, A. P. Rendell, P. Straszdins, M. M. Ali, C. Kowitz, R. Nobes, J. Southern, N. Wilson and Y. Oishi: Fault-Tolerant Grid-Based Solvers: Combining Concepts from Sparse Grids and MapReduce [BibTeX].
    In International Conference on Computational Science 2013 of Procedia Computer Science. Elsevier, Amsterdam, June 2013.
  • C. Kowitz and M. Hegland: The sparse grid combination technique for computing eigenvalues in linear gyrokinetics [BibTeX].
    In International Conference on Computational Science 2013 of Procedia Computer Science, p. 449–458. Elsevier, Amsterdam, June 2013.
  • C. Kowitz, D. Pflüger, F. Jenko and M. Hegland: The Combination Technique for the Initial Value Problem in Linear Gyrokinetics [BibTeX].
    In M. Griebel and J. Garcke (ed.), Sparse Grids and Applications, Volume 88 of Lecture Notes in Computational Science and Engineering, p. 205–222. Springer, Heidelberg, October 2012.
  • F. Merz, C. Kowitz, E. Romero, J. E. Roman and F. Jenko: Multi-dimensional gyrokinetic parameter studies based on eigenvalue computations [BibTeX].
    In N. S. Scott, J. W. Eastwood, D. P. Landau, D. G. Truhlar and Z. Was (ed.), Computer Physics Communications, Volume 183(4), p. 922–930. Elsevier, April 2012.
  • C. Kowitz: Preconditioning for Fast Linear Computations with the Plasma Turbulence Code GENE [BibTeX].
    Master's thesis, Technische Universität München, November 2010.


Talks

  • P. Neumann, C. Kowitz, F. Schranner and D. Azarnykh: Teamwork Across Disciplines: High-Performance Computing Meets Engineering [BibTeX].
    Euro-Par 2015: Parallel Processing Workshops, Vienna, August 2015.
  • C. Kowitz, A. Parra Hinojosa, M. Heene, B. Harding, M. Hegland and H.-J. Bungartz: EXAHD: Physics, Eigenvalues and Resilience [BibTeX].
    Sparse Solvers for Exascale: From Building Blocks to Applications, Greifswald, March 2015.
  • C. Kowitz: The Combination Technique for the Gyrokinetic Eigenvalue Problem [BibTeX].
    Workshop on Sparse Grids and Applications 2014, Stuttgart, September 2014.
  • C. Kowitz: The Combination Technique: A Scalable Algorithm for Higher Dimensions [BibTeX].
    SIAM Parallel Processing 2014, Portland, February 2014.
  • C. Kowitz: Computing Eigenpairs in GENE using the Combination Technique [BibTeX].
    Workshop on High Dimensional Approximation 2013, Canberra, February 2013.
  • C. Kowitz: An optimized combination technique for the gyrokinetic eigenvalue problem [BibTeX].
    ANZIAM Meeting 2013, Newcastle, Australia, February 2013.
  • C. Kowitz: The sparse grid combination technique for computing eigenvalues in linear gyrokinetics [BibTeX].
    ICCS 2013, Barcelona, 2013.
  • C. Kowitz: The Combination Technique in Fusion Energy Research [BibTeX].
    Case Studies in CSE, ETH Zürich, November 2012.
  • C. Kowitz: An OptiCom Method for Computing Eigenpairs [BibTeX].
    Workshop on Sparse Grids and Applications, Institute for Advanced Study, München, July 2012.
  • C. Kowitz: The Combination Technique in Gyrokinetics [BibTeX].
    ANU Plasmaphysics Seminar, Australian National University, Canberra, March 2012.
  • C. Kowitz: The Plasmaturbulence Code GENE [BibTeX].
    Computational Science at the Petascale and Beyond - Challenges and Opportunities, Australian National University, February 2012.
  • C. Kowitz: The Combination Technique in Linear Gyrokinetics [BibTeX].
    Sparse Grids and Applications, Hausdorff Research Institute for Mathematics, May 2011.
  • C. Kowitz: Eigenvector Following for Small Ionic Clusters [BibTeX].
    International Workshop on Energy Landscapes and Finite Time Thermodynamics, Petritoli, Italy, July 2007.


Student Projects

  • M. Valizadeh: Towards a spatially adaptive Combination technique [BibTeX].
    Master's thesis, Institut für Informatik, Technische Universität München, August 2016.
  • J. Maier: Parallel-In-Time Methods for PDEs [BibTeX].
    Studienarbeit/SEP/IDP, Fakultät für Mathematik, Technische Universität München, May 2016.
  • S. Seckler: The Fault Tolerant Combination Technique in an Iterative Refinement Framework [pdf] [BibTeX].
    Master's thesis, Institut für Informatik, Technische Universität München, October 2015.
  • C. Ziegner: Development of a benchmark suite for Uncertainty Quantification of laminar flow [pdf] [BibTeX].
    Bachelor's thesis, Institut für Informatik, Technische Universität München, October 2014.
  • S. Unsin: Level Set Approximation in High-dimensional Spaces [BibTeX].
    Bachelor's thesis, Technische Universität München, August 2013.