Prof. Dr. rer. nat.

Dirk Pflüger

Fellow (SC), Senior Participating Researcher
Institute for Parallel and Distributed Systems
Professor for Simulation Software Engineering

Contact

+49 711 685-88447

Website

Universitätsstraße 38
70569 Stuttgart
Germany
Room: 2.101

Subject

  • High-dimensional problems and simulations
  • Sparse grids and hierarchical methods
  • Data-driven problems and data mining
  • High-performance computing, hardware-aware algorithms, load balancing and fault tolerance
  • Scientific computing
  • Simulation software

Selected Publications

1. M. Köppel, F. Franzelin, I. Kröker, S. Oladyshkin, G. Santin, D. Wittwar, A. Barth, B. Haasdonk, W. Nowak, D. Pflüger, C. Rohde. Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. Submitted, preprint at https://arxiv.org/abs/1802.03064v1, 2018.

2. J. Valentin, M. Sprenger, D. Pflüger, O. Röhrle. Gradient‐based optimization with B‐splines on sparse grids for solving forward‐dynamics simulations of three‐dimensional, continuum‐mechanical musculoskeletal system models. International Journal for Numerical Methods in Biomedical Engineering, Wiley, to be published, available at onlinelibrary.wiley.com, 2018.

3. D. Pflüger, D. Pfander. Computational efficiency vs. maintainability and portability. Experiences with the sparse grid code SG++. In Proceedings of the Fourth International Workshop on Software Engineering for HPC in Computational Science and Engineering, SE-HPCCSE ’16, 10–18, IEEE Press, 2016.

4. P. Hupp, M. Heene, R. Jacob, D. Pflüger. Global communication schemes for the numerical solution of high-dimensional PDEs. Parallel Computing 52, 78-105, 2016.

5. A.P. Hinojosa, C. Kowitz, M. Heene, D. Pflüger, H.-J. Bungartz. Towards a fault-tolerant, scalable implementation of GENE. Recent Trends in Computational Engineering-CE2014, 47-65, 2015.

6. B. Peherstorfer, C. Kowitz, D. Pflüger, and H.-J. Bungartz. Selected Recent Applications of Sparse Grids. Numerical Mathematics: Theory, Methods and Applications, 8(01):47–77, 2015.

7. A. Heinecke, D. Pflüger. Emerging architectures enable to boost massively parallel data mining using adaptive sparse grids. International Journal of Parallel Programming, 41(3):357–399, 2013.

8. A. Heinecke, D. Pflüger. Multi- and many-core data mining with adaptive sparse grids. In Proceedings of the 8th ACM International Conference on Computing Frontiers, pages 29:1–29:10, New York, USA, ACM, 2011.

9. D. Pflüger, B. Peherstorfer, H.-J. Bungartz. Spatially adaptive sparse grids for high-dimensional data-driven problems. Journal of Complexity, 26(5):508–522, 2010.

10. D. Pflüger. Spatially Adaptive Sparse Grids for High-Dimensional Problems. Verlag Dr. Hut, München, 2010.

Working Experience

since 2018 Professor for Simulation Software Engineering, University of Stuttgart, Germany
2012-2018 Junior Professor (tenure option) for Simulation Software Engineering, SimTech Cluster of Excellence, University of Stuttgart, Germany
2013 Stand-in Professor for Simulation of Large Systems, University of Stuttgart, Germany
2010-2012 PostDoc Researcher as Akademischer Rat at the Chair of Scientific Computing, TU Munich, Germany
2011 Research Stay at the Center for Mathematics and Its Applications, Australian National University, Canberra, Australia
2005-2010 Doctoral Researcher, Chair of Scientific Computing, TU Munich, Germany

 

Academic Studies and Degrees

2015 Intermediate Evaluation of the Junior Professorship (equivalent to habilitation)
2010 Dr.rer.nat., Informatics, TU Munich
2005 Diploma in Computer Science, University of Stuttgart, Germany
2003 Master of Information Technology, The University of Sydney, Australia
2003 Study of Information Technology, The University of Sydney, Australia
1999-2005 Study of Computer Science, University of Stuttgart, Germany

  • 2018 Best poster award, 2nd International Conference on Simulation Technology
  • since 2015 Member of Die Junge Akademie, the German National Young Academy of the Berlin-Brandenburgische Akademie der Wissenschaften and the Deutsche Akademie der Naturforscher Leopoldina
  • 2012 Best special session paper award, International Conference on Machine Learning and Applications, Florida
  • 2012 Best poster paper runner-up award, International Conference on High Performance Computing & Simulation, Madrid
  • 2011 Best paper award, Computing Frontiers 2011, Ischia
  • 2010 Heinz-Schwärtzel-Dissertationspreis, joint prize of the Technische Universität München, the Ludwig-Maximilians-Universität München, and the Universität der Bundeswehr München for the best thesis in foundations of computer science
  • 2009 Best student presentation award, High-Dimensional Approximations 2009, Sydney
  • 2006-2008 Ph.D. fellowship from the German National Academic Foundation (Studienstiftung des deutschen Volkes)
  • 2002–2005 Fellowship from the German National Academic Foundation
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