Prof. Dr. rer. nat.

Dirk Pflüger

Fellow (SC), Senior Participating Researcher
Institut für Parallele und Verteilte Systeme
Professur für Simulation Software Engineering

Kontakt

+49 711 685-88447

Website

Universitätsstraße 38
70569 Stuttgart
Germany
Raum: 2.101

Fachgebiet

  • 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

Ausgewählte Publikationen

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.

Arbeitserfahrung

seit 2018 Professor für Simulation Software Engineering, Universität Stuttgart
2012-2018 Juniorprofessor (Tenure-Option) für Simulation Software Engineering, Exzellenzcluster SimTech, Universität Stuttgart
2013 Stand-in Professor für Simulation of Large Systems, Universität Stuttgart
2010-2012 promovierter Wissenschaftler als Akademischer Rat am Lehrstuhl für Scientific Computing, TU Munich
2011 Forschungsaufenthalt am Center for Mathematics and Its Applications, Australian National University, Canberra
2005-2010 Doktorand, Lehrstuhl für Scientific Computing, TU Munich

 

Ausbildung und akademische Grade

2015 Zwischenbewertung der Junioprofessur (gleichwertig der Habilitation)
2010 Dr.rer.nat., Informatik, TU Munich
2005 Diplom in Informatik, Universität Stuttgart
2003 Master Informationstechnologie, The University of Sydney
2003 Studium Informationstechnologie, The University of Sydney
1999-2005 Studium Informatik, Universität Stuttgart

  • 2018 Best poster award, 2nd International Conference on Simulation Technology
  • seit 2015 Mitglied "Die Junge Akademie" der Berlin-Brandenburgische Akademie der Wissenschaften und der Deutschen 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, gemeinsamer Preis der Technischen Universität München, der Ludwig-Maximilians-Universität München und der Universität der Bundeswehr München für die beste Arbeit in Grundlagen der Informatik
  • 2009 Best student presentation award, High-Dimensional Approximations 2009, Sydney
  • 2006-2008 Ph.D. Stipendium der German National Academic Foundation (Studienstiftung des deutschen Volkes)
  • 2002–2005 Stipendium der German National Academic Foundation
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