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Dr. rer. nat. Dirk Pflüger

From Sccswiki

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

Contents 1 Software 2 Projects/Links 3 Books 4 Publications 5 Talks 6 Students

Software

SG++, a toolkit for the solution of high-dimensional problems with (spatially adaptive) sparse grids.

Projects/Links

• TUM-IAS Focus Group HPC
• BMBF SIMDATA-NL - Non-Linear Characterization and Analysis of FEM Simulation Results for Motor-Car Components and Crash Tests
• KAUST-partnership Virtual Arabia

Books

• D. Pflüger: Spatially Adaptive Sparse Grids for High-Dimensional Problems [pdf] [BibTeX]. Verlag Dr. Hut, München, August 2010.
• H.-J. Bungartz, S. Zimmer, M. Buchholz and D. Pflüger: Modellbildung und Simulation: Eine anwendungsorientierte Einführung [BibTeX]. Springer-Verlag, Berlin, March 2009.

Publications

Volume 2012

• A. Heinecke, B. Peherstorfer, D. Pflüger and Z. Song: Sparse Grid Classifiers as Base Learners for AdaBoost [BibTeX].
  In 2012 International Conference on High Performance Computing and Simulation (HPCS),. IEEE, Madrid, July 2012. accepted for publication.
• G. Buse, R. Jacob, D. Pflüger and A. Murarasu: A Non-static Data Layout Enhancing Parallelism and Vectorization in Sparse Grid Algorithms [BibTeX].
  In Proceeding of the 11th International Symposium on Parallel and Distributed Computing - ISPDC 2012. IEEE, Munich, June 2012. accepted for publication.
• A. Murarasu, G. Buse, J. Weidendorfer, D. Pflüger and A. Bode: fastsg: A Fast Routines Library for Sparse Grids [BibTeX].
  In Proceedings of the International Conference on Computational Science, ICCS 2012 of Procedia Computer Science, June 2012. accepted for publication.
• D. Butnaru, G. Buse and D. Pflüger: A Parallel and Distributed Surrogate Model Implementation for Computational Steering [BibTeX].
  In Proceeding of the 11th International Symposium on Parallel and Distributed Computing - ISPDC 2012. IEEE, Munich, June 2012. accepted for publication.
• A. Heinecke, M. Klemm, D. Pflüger, A. Bode and H.-J. Bungartz: Extending a Highly Parallel Data Mining Algorithm to the Intel(R) Many Integrated Core Architecture [BibTeX].
  In Euro-Par 2011: Parallel Processing Workshops: Proceedings of the 4th Workshop on UnConventional High Performance Computing 2011 (UCHPC 2011), Volume 7156/2012 of Lecture Notes in Computer Science, p. 375–384. Springer, Bordeaux, France, May 2012.
• H.-J. Bungartz, A. Heinecke, D. Pflüger and S. Schraufstetter: Parallelizing a Black-Scholes solver based on finite elements and sparse grids [BibTeX].
  In Concurrency and Computation: Practice and Experience. John Wiley & Sons, Ltd, March 2012.
• A. Heinecke and D. Pflüger: Emerging Architectures Enable to Boost Massively Parallel Data Mining using Adaptive Sparse Grids [BibTeX].
  In International Journal of Parallel Programming. Springer-Verlag, March 2012. accepted for publication..

Volume 2011

• B. Peherstorfer, D. Pflüger and H.-J. Bungartz: A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps [BibTeX].
  In Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence, December 2011. accepted for publication.
• H.-J. Bungartz, A. Heinecke, D. Pflüger and S. Schraufstetter: Option Pricing with a Direct Adaptive Sparse Grid Approach [BibTeX].
  In Journal of Computational and Applied Mathematics, October 2011. online Okt. 2011.
• D. Pflüger: Spatially Adaptive Refinement [BibTeX].
  In Proceedings of Workshop on Sparse Grids and Applications, October 2011. submitted.
• A. Heinecke, M. Klemm, H. Pabst and D. Pflüger: Towards high-performance implementations of a custom HPC kernel using Intel(R) Array Building Blocks [BibTeX].
  In Facing the Multicore-Challenge II, September 2011. accepted for publication.
• D. Butnaru, D. Pflüger and H.-J. Bungartz: Towards High-Dimensional Computational Steering of Precomputed Simulation Data using Sparse Grids [007] [BibTeX].
  In Proceedings of the International Conference on Computational Science (ICCS) 2011, Volume 4 of Procedia CS, p. 56–65. Springer-Verlag, June 2011.
• A. Heinecke and D. Pflüger: Multi- and Many-Core Data Mining with Adaptive Sparse Grids [BibTeX].
  In Proceedings of the 8th ACM International Conference on Computing Frontiers, p. 29:1––29:10. ACM, New York, USA, May 2011.
• A. Murarasu, J. Weidendorfer, G. Buse, D. Butnaru and D. Pflüger: Compact Data Structure and Scalable Algorithms for the Sparse Grid Technique [1941559] [BibTeX].
  In Proceedings of the 16th ACM symposium on Principles and practice of parallel programming of PPoPP '11, p. 25––34. ACM, New York, NY, USA, February 2011.

Volume 2010

• D. Pflüger, B. Peherstorfer and H.-J. Bungartz: Spatially adaptive sparse grids for high-dimensional data-driven problems [BibTeX].
  In Journal of Complexity, Volume 26(5), p. 508––522. Academic Press, Inc., Orlando, FL, USA, October 2010. published online April 2010.
• M. Frommert, D. Pflüger, T. Riller, M. Reinecke, H.-J. Bungartz and T. Enßlin: Efficient cosmological parameter sampling using sparse grids [BibTeX].
  Volume 406(2) of Monthly Notices of the Royal Astronomical Society, p. 1177––1189. Wiley-Blackwell, August 2010. online April 2010.
• D. Pflüger: Spatially Adaptive Sparse Grids for High-Dimensional Problems [pdf] [BibTeX].
  Dissertation, Institut für Informatik, Technische Universität München. Verlag Dr. Hut, München, February 2010.
• H.-J. Bungartz, A. Heinecke, D. Pflüger and S. Schraufstetter: Parallelizing a Black-Scholes Solver based on Finite Elements and Sparse Grids [BibTeX].
  In IEEE International Parallel & Distributed Processing Symposium, 2010.

Volume 2008

• H.-J. Bungartz, D. Pflüger and S. Zimmer: Adaptive Sparse Grid Techniques for Data Mining [pdf] [BibTeX].
  In H.G. Bock, E. Kostina, X.P. Hoang and R. Rannacher (ed.), Modelling, Simulation and Optimization of Complex Processes 2006, Proc. Int. Conf. HPSC, Hanoi, Vietnam, p. 121–130. Springer-Verlag, August 2008.

Volume 2007

• D. Pflüger, I. L. Muntean and H.-J. Bungartz: Adaptive Sparse Grid Classification Using Grid Environments [pdf] [BibTeX].
  In Y. Shi, D. van Albada, J. Dongarra and P. Sloot (ed.), ICCS 2007, Volume 4487(1) of LNCS, p. 708–715. Springer, Berlin Heidelberg, May 2007.

Volume 2005

• D. Pflüger: Data Mining mit Dünnen Gittern [pdf] [BibTeX].
  No. 2264.
  Diplomarbeit, IPVS, Universität Stuttgart, March 2005.

Volume 2004

• M. Buchholz, D. Pflüger and J. Poon: Application of Machine Learning Techniques to the Re-ranking of Search Results [BibTeX].
  In S. Biundo, T. Frühwirth and G. Palm (ed.), KI 2004: Advances in Artificial Intelligence, Volume 3238 of Lecture Notes in Computer Science, p. 67–81. Springer-Verlag, September 2004.

Talks

• A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps [BibTeX].
  24th Australasian Conference on Artificial Intelligence, Perth, December 2011.
• Spatially Adaptive Sparse Grids for Data-Driven Problems [BibTeX].
  Computational Mathematics Seminar, CMA, ANU, Canberra, October 2011.
• Classification and Regression with Sparse Grids [BibTeX].
  Ferienakademie, Durnholz, September 2011.
• Spatially adaptive sparse grid regression [BibTeX].
  4th Workshop on High-Dimensional Approximation, Universität Bonn, June 2011.
• Problem-Adapted Spatially Adapted Sparse Grids [BibTeX].
  Workshop on Sparse Grids and Applications, Hausdorf Research Institute, Bonn, May 2011.
• Sparse Grids---High-Dimensional Functions in Data Mining and Beyond [BibTeX].
  2nd Coding Days, KAUST, Thuwal, Saudi-Arabia, April 2011.
• Spatially Adaptive Sparse Grids for Data Mining and Parameter Estimation [BibTeX].
  Seminar ModNumDiff, Matheon, TU Berlin, November 2010.
• Clustering [BibTeX].
  Kickoff-Meeting BMBF Projekt SIMDATA-NL, Bonn, October 2010.
• Adaptive, Sparse, and Grids [BibTeX].
  Ferienakademie, Durnholz, September 2010.
• Parallelizing a Black-Scholes Solver based on Finite Elements and Sparse Grids [BibTeX].
  Parallel and Distributed Computing in Finance (PDCoF) at IEEE IPDPS, Atlanta, USA, April 2010.
• Dünne Gitter: Hochdimensionale Numerik im Data Mining [BibTeX].
  Seminar, IBB, Helmholtz Zentrum München, May 2009.
• Approximation of Non-Smooth Functions with Spatially Adaptive Sparse Grids in Classification Tasks [BibTeX].
  High Dimensional Approximation (HDA) 09, University of New South Wales, Sydney, Australia, February 2009.
• Dünne Gitter: Hochdimensionale Numerik in Data Mining, Astrophysik und Finanzanwendungen [BibTeX].
  Doktorandenforum Natur und Wissenschaft, Studienstiftung des deutschen Volkes, Borken-Gemen, April 2008.
• Classification with spatially adaptive sparse grids: Towards high dimensional problems [BibTeX].
  DFG Kolloquium, Bonn, April 2008.
• Tackling Higher Dimensions in Data Mining Using Adaptive Sparse Grids [pdf] [BibTeX].
  Nonlinear and Adaptive Approximation in High Dimensions, Physikzentrum Bad Honnef, December 2007.
• Adaptive Sparse Grid Classification Using Grid Environments [BibTeX].
  International Conference on Computational Science (ICCS) 2007, Beijing, China, May 2007.
• Data Mining mit Dünnen Gittern [BibTeX].
  Doktorandenforum Natur und Wissenschaft, Studienstiftung des deutschen Volkes, Wittenberg, April 2007.
• Sparse grid techniques for Data Mining [BibTeX].
  Seminar of the Machine Learning and Data Mining in Bioinformatics Group, Chair for Bioinformatics, TU München, November 2006.
• Adaptive Sparse Grid Techniques for Data Mining [BibTeX].
  HPSC 2006, Institute of Mathematics, Vietnamese Academy of Science and Technology, Hanoi, Vietnam, March 2006.
• Application of Machine Learning Techniques to the Re-ranking of Search Results [BibTeX].
  Jahrestagung Künstliche Intelligenz, KI 2004, Universität Ulm, September 2004.

Students

• J. Klein: Modellierung und Implementierung von automatisierten Dispositions-Vorschlägen [BibTeX].
  Master's thesis, Institut für Informatik, Technische Universität München, October 2011.
• D. Wang: Sparse Grid Combination Technique for Regression Problems in Finance [BibTeX].
  Master's thesis, Institut für Informatik, Technische Universität München, September 2011.
• K. Röhner: Polynomial Basis Functions on Adaptive Sparse Grids [pdf] [BibTeX].
  Bachelor's thesis, Institut für Informatik, Technische Universität München, August 2011.
• A. Heinecke: Integration von Adaptivität in einen Dünngitterlöser für Basket-Optionen [pdf] [BibTeX].
  Master's thesis, Institut für Informatik, Technische Universität München, February 2011.
• N. Melik-Barkhudarov: Spatially Adaptive Semi-Supervised Learning [BibTeX].
  Master's thesis, Institut für Informatik, Technische Universität München, September 2010.
• R. Röttger: Integration of Prewavelet Ansatz Functions into SG++ [pdf] [BibTeX].
  Studienarbeit/SEP/IDP, Institut für Informatik, Technische Universität München, September 2010.
• M. Müller: Konzeption und Implementierung einer C2X-basierten dynamischen Routenführung für die mikroskopische Verkehrssimulation VISSIM [pdf] [BibTeX].
  Bachelor's thesis, Institut für Informatik, Technische Universität München, September 2010.
• A. Heinecke: Realisierung einer Randbehandlung für adaptive Dünngittermethoden mit Anwendungen im Data Mining und in der Finanzmathematik [pdf] [BibTeX].
  Diplomarbeit, Institut für Informatik, Technische Universität München, February 2010.
• J. Blank: Numerische Quadratur von hochdimensionalen Verteilungsfunktionen mit adaptiven Dünnen Gittern [BibTeX].
  Studienarbeit/SEP/IDP, Institut für Informatik, Technische Universität München, October 2009. IDP.
• J. Hölzl: Automatischer Korrektheitsbeweis von Algorithmen zur Hierarchischen Basistransformation [BibTeX].
  Studienarbeit/SEP/IDP, Fakultät für Informatik, Technische Universität München, January 2009. IDP.
• B. Cankurt, Ö. Demirel, Y. Li, D. Mudigere and K. Rahnema: Inverted Pendulum Control Demonstrator [BibTeX].
  Studienarbeit/SEP/IDP, Institut für Informatik, Technische Universität München, January 2009. BGCE project.
• M. Wunsch: Halbüberwachtes Lernen mit raumadaptiven dünnen Gittern [BibTeX].
  No. 2763.
  Diplomarbeit, IPVS, Universität Stuttgart, November 2008.
• D. Pandey: Regression with Spatially Adaptive Sparse Grids in Financial Applications [BibTeX].
  Master's thesis, Fakultät für Informatik, Technische Universität München, September 2008.
• C. Bohn, A. Landschoof and M. Ostertag: Planung und Entwicklung einer Online Bibel mit Web 2.0 Elementen [BibTeX].
  Studienarbeit/SEP/IDP, Institut für Informatik, Technische Universität München, May 2008. SEP.
• M. Salaterski: Storing Results of Parameterized CFD Simulations Using Sparse-Grid Techniques [BibTeX].
  Master's thesis, Fakultät für Informatik, Technische Universität München, May 2008.
• L. Johansson: Einsatz der Dünngitterklassifikation für Benchmark-Probleme [pdf] [BibTeX].
  Diplomarbeit, Fakultät für Informatik, Technische Universität München, April 2008.
• J. Blank and R. Röttger: Data Mining mit Dünnen Gittern [BibTeX].
  Studienarbeit/SEP/IDP, Fakultät für Informatik, Technische Universität München, January 2008. SEP.
• J. Benk, F. Moufatich and D. Pandey: Theta Fitter - Financial Model Fitter [BibTeX].
  Studienarbeit/SEP/IDP, Fakultät für Informatik, Technische Universität München, January 2008. BGCE project.
• F. Prasser and A. Hristov: Erstellung eines umfangreichen Tools zur Audiobearbeitung [pdf] [BibTeX].
  Studienarbeit/SEP/IDP, Fakultät für Informatik, Technische Universität München, January 2007.