Staff Dr. Peter Zaspel

Mr. Zaspel is now at Jacobs University Bremen, Professor of Computer Science. This page is no longer maintained.

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Research Interests

  • Hardware-aware Numerics. HPC clusters are indispesable for the solution of real-world large-scale engineering problems. Knowing potential scalability limitations of current standard processors, different many-core architectures have been proposed. They are a prototype for hardware in future HPC clusters. An important research objective is the introduction of new hardware-aware numerical methods that can profit from these new technologies. This also includes resilience considerations.
  • Uncertainty Quantification. The extraction of stochastic information from PDEs with random data requires the solution of parametric PDE problems. Very often, the non-intrusive parametric solution using existing PDE solvers is prefered. Here, many simulations are executed for changing input parameters. For large-scale problems, time restrictions limit the number of snapshots and therefore the achievable accuracy. RBF kernel-based approximation might mitigate these limitations.
  • Numerical Linear Algebra. A major part of the compute time of many numerical solution techniques is spend in linear algebra solvers. Large-scale problems require optimal-complexity linear solvers. Multigrid methods are appropriate optimal-complexity algorithms. However, their scalability on extreme-scale HPC clusters is in question. Future research should identify alternatives or improve existing techniques to remove scalability and potential resilience barriers.
  • Computational Fluid Dynamics.
  • Visualization, Cloud Computing.

Completed Research Projects

Development of CFD Code NaSt3DGP

Homepage.

NVIDIA CUDA™ Research Center

Homepage.

Publications

Theses (co-supervised)

  1. High-dimensional Design Optimization of Wave Energy Converters with Computational Fluid Dynamics. C. Peuker. Masterarbeit, Institut für Numerische Simulation, Universität Bonn, 2014. BibTeX PDF
  2. Numerische Erzeugung von Wasserwellen zur Analyse von Wellenkraftwerken. C. Peuker. Bachelorarbeit, Institut für Numerische Simulation, Universität Bonn, 2011. BibTeX PDF
  3. Optimierte Löserverfahren zur Druckberechnung in den zweiphasigen Navier-Stokes-Gleichungen. T. Sprügel. Bachelorarbeit, Institut für Numerische Simulation, Universität Bonn, 2010. BibTeX PDF

Publications

  1. Kernel-based stochastic collocation for the random two-phase Navier-Stokes equations. M. Griebel, C. Rieger, and P. Zaspel. International Journal for Uncertainty Quantification, 9(5):471–492, 2019. Also available as INS Preprint No. 1813. BibTeX PDF DOI
  2. Parallel RBF Kernel-Based Stochastic Collocation for Large-Scale Random PDEs. P. Zaspel. Dissertation, Institut für Numerische Simulation, Universität Bonn, 2015. BibTeX Read
  3. Subspace correction methods in algebraic multi-level frames. P. Zaspel. INS Preprint No. 1510, submitted to Linear Algebra and its Applications., june 2015. BibTeX PDF
  4. Exahd: an exa-scalable two-level sparse grid approach for higher-dimensional problems in plasma physics and beyond. D. Pflüger, H.-J. Bungartz, M. Griebel, F. Jenko, T. Dannert, M. Heene, C. Kowitz, A. Hinojosa, and P. Zaspel. In L. Lopes, J. Žilinskas, A. Costan, RobertoG. Cascella, G. Kecskemeti, E. Jeannot, M. Cannataro, L. Ricci, S. Benkner, S. Petit, V. Scarano, J. Gracia, S. Hunold, StephenL. Scott, S. Lankes, C. Lengauer, J. Carretero, J. Breitbart, and M. Alexander, editors, Euro-Par 2014: Parallel Processing Workshops, volume 8806 of Lecture Notes in Computer Science, pages 565–576. Springer International Publishing, 2014. BibTeX DOI
  5. Solving incompressible two-phase flows on multi-GPU clusters. P. Zaspel and M. Griebel. Computers & Fluids, 80(0):356 – 364, 2013. Selected contributions of the 23rd International Conference on Parallel Fluid Dynamics ParCFD2011, also available as INS Preprint no. 1113. BibTeX PDF DOI
  6. Massively parallel fluid simulations on amazon's hpc cloud. P. Zaspel and M. Griebel. In Network Cloud Computing and Applications (NCCA), 2011 First International Symposium on, volume, 73 –78. nov. 2011. BibTeX DOI Link
  7. Photorealistic visualization and fluid animation: coupling of Maya with a two-phase Navier-Stokes fluid solver. P. Zaspel and M. Griebel. Computing and Visualization in Science, 14(8):371–383, 2011. BibTeX PDF DOI
  8. A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations . M. Griebel and P. Zaspel. Computer Science - Research and Development, 25(1–2):65–73, may 2010. BibTeX PDF DOI
  9. Zweiphasige Navier-Stokes Fluidsimulationen in Maya: Konfiguration, Visualisierung und Animation. P. Zaspel. Diplomarbeit, Institut für Numerische Simulation, Universität Bonn, apr 2009. BibTeX PDF