Publications

Publications SSE: Dirk Pflüger      Change to grouping by type

• Hirschmann, Steffen; Kronenburg, Andreas; Glass, Colin W.; Pflüger, Dirk: Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations. In: Foster, Ian (ed.); Joubert, Gerhard R. (ed.); Kucera, Ludek (ed.); Nagel, Wolfgang E. (ed.); Peters, Frans (ed.): Parallel Computing: Technology Trends, 2020.

• Hirschmann, Steffen; Glass, Colin W.; Pflüger, Dirk: Enabling unstructured domain decompositions for inhomogeneous short-range molecular dynamics in ESPResSo. In: The European Physical Journal Special Topics. Vol. 227(14), Springer Nature, 2019.

• Hirschmann, Steffen; Lahnert, Michael; Schober, Carolin; Brunn, Malte; Mehl, Miriam; Pflüger, Dirk: Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications. In: Nagel, Wolfgang E. (ed.); Kröner, Dietmar H. (ed.); Resch, Michael M. (ed.): High Performance Computing in Science and Engineering '18, 2018.
• Pfander, David; Brunn, Malte; Pflüger, Dirk: AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming. In: 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
• Pfander, David; Daiß, Gregor; Pflüger, Dirk; Marcello, Dominic; Kaiser, Hartmut: Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX. In: Proceedings of the 6th International Workshop on OpenCL, 2018.
• Valentin, Julian; Pflüger, Dirk: Fundamental Splines on Sparse Grids and Their Application to Gradient-Based Optimization. In: Garcke, Jochen (ed.); Pflüger, Dirk (ed.); Webster, Clayton G. (ed.); Zhang, Guannan (ed.): Sparse Grids and Applications - Miami 2016, 2018.
• Valentin, Julian; Sprenger, Michael; Pflüger, Dirk; Röhrle, Oliver: Gradient-Based Optimization with B-Splines on Sparse Grids for Solving Forward-Dynamics Simulations of Three-Dimensional, Continuum-Mechanical Musculoskeletal System Models. In: International Journal for Numerical Methods in Biomedical Engineering, Wiley, 2018.

• Diehl, Patrick; Bußler, Michael; Pflüger, Dirk; Frey, Steffen; Ertl, Thomas; Sadlo, Filip; Schweitzer, Marc Alexander: Extraction of Fragments and Waves After Impact Damage in Particle-Based Simulations. In: Griebel, Michael (ed.); Schweitzer, Marc Alexander (ed.): Meshfree Methods for Partial Differential Equations VIII, Springer International Publishing, 2017.
• Heene, Mario; Parra Hinojosa, Alfredo; Bungartz, Hans-Joachim; Pflüger, Dirk: A Massively-Parallel, Fault-Tolerant Solver for High-Dimensional PDEs. In: Desprez, F. (ed.); Et al. (ed.): Euro-Par 2016: Parallel Processing Workshops, 2017.
• Hirschmann, Steffen; Brunn, Malte; Lahnert, Michael; Glass, Colin W.; Mehl, Miriam; Pflüger, Dirk: Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo. In: Bassini, Sanzio (ed.); Danelutto, Marco (ed.); Dazzi, Patrizio (ed.); Joubert, Gerhard R. (ed.); Peters, Frans (ed.): Advances in Parallel Computing. Vol. 32, IOS Press, 2017.
• Inci, Gizem; Kronenburg, Andreas; Weeber, Rudolf; Pflüger, Dirk: Langevin Dynamics Simulation of Transport and Aggregation of Soot Nano-particles in Turbulent Flows. In: Flow, Turbulence and Combustion, Springer, 2017.
• Peherstorfer, Benjamin; Pflüger, Dirk; Bungartz, Hans-Joachim: Density Estimation with Adaptive Sparse Grids for Large Data Sets. In: Proceedings of the 2014 SIAM International Conference on Data Mining, 2017.

• Diehl, Patrick; Franzelin, Fabian; Pflüger, Dirk; Ganzenmüller, Georg C.: Bond-based peridynamics: a quantitative study of Mode I crack opening. In: International Journal of Fracture, Springer, 2016.
• Franzelin, Fabian; Pflüger, Dirk: From Data to Uncertainty: An Efficient Integrated Data-Driven Sparse Grid Approach to Propagate Uncertainty. In: Garcke, Jochen (ed.); Pflüger, Dirk (ed.): Sparse Grids and Applications - Stuttgart 2014, Springer International Publishing, 2016.
• Garcke, Jochen (ed); Pflüger, Dirk (ed): Sparse Grids and Applications - Stuttgart 2014, Springer International Publishing, 2016.
• Heene, Mario; Pflüger, Dirk: Scalable Algorithms for the Solution of Higher-Dimensional PDEs. In: Bungartz, Hans-Joachim. (ed.); Neumann Philipp (ed.); Nagel Wolfgang (ed.): Software for Exascale Computing - SPPEXA 2013-2015, 2016.
• Hegland, Markus; Harding, Brendan; Kowitz, Christoph; Pflüger, Dirk; Strazdins, Peter: Recent Developments in the Theory and Application of the Sparse Grid Combination Technique. In: Bungartz, Hans-Joachim (ed.); Neumann, Philipp (ed.); Nagel, Wolfgang E. (ed.): Software for Exascale Computing - SPPEXA 2013-2015, 2016.
• Hirschmann, Steffen; Pflüger, Dirk; Glass, Colin W.: Towards Understanding Optimal Load-Balancing of Heterogeneous Short-Range Molecular Dynamics. In: 2016 IEEE 23rd International Conference on High Performance Computing Workshops (HiPCW).
• Hupp, Philipp; Heene, Mario; Jacob, Riko; Pflüger, Dirk: Global communication schemes for the numerical solution of high-dimensional PDEs. In: Parallel Computing. Vol. 52, Amsterdam, The Netherlands: Elsevier Science Publishers, 2016.
• Pfander, David; Heinecke, Alexander; Pflüger, Dirk: A New Subspace-Based Algorithm for Efficient Spatially Adaptive Sparse Grid Regression, Classification and Multi-evaluation. In: Jochen Garcke and Dirk Pflüger (ed.): Sparse Grids and Applications - Stuttgart 2014, 2016.
• Pflüger, Dirk; Mehl, Miriam; Valentin, Julian; Lindner, Florian; Pfander, David; Wagner, Stefan; Graziotin, Daniel; Wang, Yang: The Scalability-Efficiency/Maintainability-Portability Trade-Off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review. In: Proceedings of 2016 Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering (SE-HPCCSE 2016), held in conjunction with SC16, Salt Lake City, Utah.
• Pflüger, Dirk; Pfander, David: Computational Efficiency vs. Maintainability and Portability. Experiences with the Sparse Grid Code SG++. In: 2016 Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering (SE-HPCCSE).
• Valentin, Julian; Pflüger, Dirk: Hierarchical Gradient-Based Optimization with B-Splines on Sparse Grids. In: Garcke, Jochen (ed.); Pflüger, Dirk (ed.): Sparse Grids and Applications - Stuttgart 2014, 2016.

• Heene, Mario; Pflüger, Dirk: Efficient and scalable distributed-memory hierarchization algorithms for the sparse grid combination technique. In: Parallel Computing: On the Road to Exascale, 2015.
• Parra Hinojosa, Alfredo; Kowitz, Christoph; Heene, Mario; Pflüger, Dirk; Bungartz, Hans-Joachim: Towards a fault-tolerant, scalable implementation of GENE. In: Proceedings of ICCE 2014, 2015.
• Peherstorfer, Benjamin; Kowitz, Christoph; Pflüger, Dirk; Bungartz, Hans-Joachim: Selected Recent Applications of Sparse Grids. In: Numerical Mathematics: Theory, Methods and Applications. Bd. 8(01), Cambridge Journals, 2015.
• Wagner, Stefan; Pflüger, Dirk; Mehl, Miriam: Simulation Software Engineering: Experiences and Challenges. In: Proceedings of the 3rd International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2015.

• Bungartz, Hans-Joachim; Heinecke, Alexander; Pflüger, Dirk; Schraufstetter, Stefanie: Parallelizing a Black-Scholes solver based on finite elements and sparse grids. In: Concurrency and Computation: Practice and Experience, John Wiley & Sons, Ltd, 2014.
• Buse, Gerrit; Pflüger, Dirk; Jacob, Riko: Efficient Pseudorecursive Evaluation Schemes for Non-Adaptive Sparse Grids. In: Garcke, Jochen (ed.); Pflüger, Dirk (ed.): Sparse Grids and Applications - Munich 2012, 2014.
• Franzelin, Fabian; Diehl, Patrick; Pflüger, Dirk; Schweitzer, Marc Alexander: Non-intrusive uncertainty quantification with sparse grids for multivariate peridynamic simulations. In: Griebel, Michael (ed.); Schweitzer, Marc Alexander (ed.): Meshfree Methods for Partial Differential Equations VII, 2014.
• Garcke, Jochen (ed); Pflüger, Dirk (ed): Sparse Grids and Applications - Munich 2012, Springer International Publishing, 2014.
• Heene, Mario; Kowitz, Christoph; Pflüger, Dirk: Load Balancing for Massively Parallel Computations with the Sparse Grid Combination Technique. In: Bader, Michael (ed.); Bungartz, Hans-Joachim (ed.); Bode, A. (ed.); Gerndt, M (ed.); Joubert, G.R. (ed.): Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2014.
• Hupp, Philipp; Jacob, Riko; Heene, Mario; Pflüger, Dirk; Hegland, Markus: Global Communication Schemes for the Sparse Grid Combination Technique. In: Bader, Michael (ed.); Bungartz, Hans-Joachim (ed.); Bode, A. (ed.); Gerndt, M (ed.); Joubert, G.R. (ed.): Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2014.
• Khakhutskyy, Valeriy; Pflüger, Dirk; Hegland, Markus: Scalability and Fault Tolerance of the Alternating Direction Method of Multipliers for Sparse Grids. In: Bader, Michael (ed.); Bungartz, Hans-Joachim (ed.); Bode, A. (ed.); Gerndt, M (ed.); Joubert, G.R. (ed.): Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2014.
• Khakhutskyy, Valeriy; Pflüger, Dirk: Alternating Direction Method of Multipliers for Hierarchical Basis Approximators. In: Garcke, Jochen (ed.); Pflüger, Dirk (ed.): Sparse Grids and Applications - Munich 2012, 2014.
• Peherstorfer, Benjamin; Franzelin, Fabian; Pflüger, Dirk; Bungartz, Hans-Joachim: Classification with Probability Density Estimation on Sparse Grids. In: Garcke, Jochen (ed.); Pflüger, Dirk (ed.): Sparse Grids and Applications - Munich 2012, 2014.
• Pflüger, Dirk; Bungartz, Hans-Joachim; Griebel, Michael; Jenko, Frank; Dannert, Tilman; Heene, Mario; Parra Hinojosa, Alfredo; Kowitz, Christoph; Zaspel, Peter: EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond. In: Euro-Par 2014: Parallel Processing Workshops.

• Hans-Joachim, Bungartz; Stefan, Zimmer; Martin, Buchholz; Pflüger, Dirk: Modeling and Simulation - An Application-Oriented Introduction, Berlin: Springer-Verlag, 2013.
• Hans-Joachim, Bungartz; Stefan, Zimmer; Martin, Buchholz; Pflüger, Dirk: Modellbildung und Simulation: Eine anwendungsorientierte Einführung. 2. überarb. Aufl., Berlin: Springer-Verlag, 2013.
• Heinecke, Alexander; Karlstetter, Roman; Pflüger, Dirk; Bungartz, Hans-Joachim: Data Mining on Vast Datasets as a Cluster System Benchmark. In: Concurrency and Computation: Practice and Experience, John Wiley & Sons, 2013.
• Heinecke, Alexander; Pflüger, Dirk; Budnikov, Dmitry; Klemm, Michael; Narkis, Arik; Shevtsov, Maxim; Zaks, Ayal: Demonstrating Performance Portability of A Custom OpenCL Data Mining Application to the Intel(R) Xeon Phi(TM) Coprocessor. In: International Workshop on OpenCL Proceedings 2013.
• Heinecke, Alexander; Pflüger, Dirk: Emerging Architectures Enable to Boost Massively Parallel Data Mining using Adaptive Sparse Grids. In: International Journal of Parallel Programming. Bd. 41(3), New York, Usa: Springer US, 2013.
• Peherstorfer, Benjamin; Adorf, Julius; Pflüger, Dirk; Bungartz, Hans-Joachim: Image Segmentation with Adaptive Sparse Grids. In: Proceedings of 26th Australasian Joint Conference on Artificial Intelligence, 2013.

• Alin, Murarasu; Gerrit, Buse; Josef, Weidendorfer; Pflüger, Dirk; Bode, Arndt: fastsg: A Fast Routines Library for Sparse Grids. In: Proceedings of the International Conference on Computational Science, ICCS 2012.
• Benk, Janos; Pflüger, Dirk: Hybrid Parallel Solutions of the Black-Scholes PDE with the Truncated Combination Technique. In: Proceedings of the HPCS conference, 2012.
• Buse, Gerrit; Jacob, Riko; Pflüger, Dirk; Murarasu, Alin: A Non-static Data Layout Enhancing Parallelism and Vectorization in Sparse Grid Algorithms. In: Proceeding of the 11th International Symposium on Parallel and Distributed Computing - ISPDC 2012.
• Butnaru, Daniel; Buse, Gerrit; Pflüger, Dirk: A Parallel and Distributed Surrogate Model Implementation for Computational Steering. In: Proceeding of the 11th International Symposium on Parallel and Distributed Computing - ISPDC 2012.
• Butnaru, Daniel; Peherstorfer, Benjamin; Pflüger, Dirk; Bungartz, Hans-Joachim: Fast Insight into High-Dimensional Parametrized Simulation Data. In: 11th International Conference on Machine Learning and Applications (ICMLA), 2012.
• Heinecke, Alexander; Klemm, Michael; Pabst, Hans; Pflüger, Dirk: Towards high-performance implementations of a custom HPC kernel using Intel(R) Array Building Blocks. In: Facing the Multicore-Challenge II, 2012.
• Heinecke, Alexander; Klemm, Michael; Pflüger, Dirk; Bode, Arndt; Bungartz, Hans-Joachim: Extending a Highly Parallel Data Mining Algorithm to the Intel(R) Many Integrated Core Architecture. In: Euro-Par 2011: Parallel Processing Workshops: Proceedings of the 4th Workshop on UnConventional High Performance Computing 2011 (UCHPC 2011), 2012.
• Heinecke, Alexander; Peherstorfer, Benjamin; Pflüger, Dirk; Song, Zhongwen: Sparse Grid Classifiers as Base Learners for AdaBoost. In: 2012 International Conference on High Performance Computing and Simulation (HPCS),.
• Kowitz, Christoph; Pflüger, Dirk; Jenko, Frank; Hegland, Markus: The Combination Technique for the Initial Value Problem in Linear Gyrokinetics. In: Griebel, Michael (ed.); Garcke, Jochen (ed.): Sparse Grids and Applications, 2012.
• Peherstorfer, Benjamin; Pflüger, Dirk; Bungartz, Hans-Joachim: Clustering Based on Density Estimation with Sparse Grids. In: KI 2012: Advances in Artificial Intelligence.
• Pflüger, Dirk: Spatially Adaptive Refinement. In: Garcke, Jochen (ed.); Griebel, Michael (ed.): Sparse Grids and Applications, 2012.

• Alin, Murarasu; Josef, Weidendorfer; Gerrit, Buse; Butnaru, Daniel; Pflüger, Dirk: Compact Data Structure and Scalable Algorithms for the Sparse Grid Technique. In: Proceedings of the 16th ACM symposium on Principles and practice of parallel programming, 2011.
• Bungartz, Hans-Joachim; Heinecke, Alexander; Pflüger, Dirk; Schraufstetter, Stefanie: Option Pricing with a Direct Adaptive Sparse Grid Approach. In: Journal of Computational and Applied Mathematics. Bd. 236(15), Sonstige, 2011.
• Butnaru, Daniel; Pflüger, Dirk; Bungartz, Hans-Joachim: Towards High-Dimensional Computational Steering of Precomputed Simulation Data using Sparse Grids. In: Proceedings of the International Conference on Computational Science (ICCS) 2011.
• Heinecke, Alexander; Pflüger, Dirk: Multi- and Many-Core Data Mining with Adaptive Sparse Grids. In: Proceedings of the 8th ACM International Conference on Computing Frontiers, 2011.
• Peherstorfer, Benjamin; Pflüger, Dirk; Bungartz, Hans-Joachim: A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps. In: Wang, Dianhui (ed.); Reynolds, Mark (ed.): AI 2011: Advances in Artificial Intelligence.

• Bungartz, Hans-Joachim; Heinecke, Alexander; Pflüger, Dirk; Schraufstetter, Stefanie: Parallelizing a Black-Scholes Solver based on Finite Elements and Sparse Grids. In: IEEE International Parallel & Distributed Processing Symposium, 2010.
• Frommert, Mona; Pflüger, Dirk; Riller, Thomas; Reinecke, M.; Bungartz, Hans-Joachim; Enßlin, Torsten: Efficient cosmological parameter sampling using sparse grids. In: Efficient cosmological parameter sampling using sparse grids, Wiley-Blackwell, 2010.
• Pflüger, Dirk; Peherstorfer, Benjamin; Bungartz, Hans-Joachim: Spatially adaptive sparse grids for high-dimensional data-driven problems. In: Journal of Complexity. Bd. 26(5), Orlando FL, USA: Academic Press, Inc., 2010.
• Pflüger, Dirk: Spatially Adaptive Sparse Grids for High-Dimensional Problems, München: Verlag Dr. Hut, 2010.

• Bungartz, Hans-Joachim; Zimmer, Stefan; Buchholz, Martin; Pflüger, Dirk: Modellbildung und Simulation: Eine anwendungsorientierte Einführung, Berlin, Heidelberg: Springer-Verlag, 2009.

• Bungartz, Hans-Joachim; Pflüger, Dirk; Zimmer, Stefan: Adaptive Sparse Grid Techniques for Data Mining. In: Bock, H.G. (ed.); Kostina, E. (ed.); Hoang, X.P. (ed.); Rannacher, R. (ed.): Modelling, Simulation and Optimization of Complex Processes 2006, 2008.

• Pflüger, Dirk; Muntean, Ioan Lucian; Bungartz, Hans-Joachim: Adaptive Sparse Grid Classification Using Grid Environments. In: Shi, Yong (ed.); van Albada, Dick (ed.); Dongarra, Jack (ed.); Sloot, Peter (ed.): ICCS 2007.

• Pflüger, Dirk: Data Mining mit Dünnen Gittern, Diploma Thesis No. 2264, 2005.

• Buchholz, Martin; Pflüger, Dirk; Poon, Josiah: Application of Machine Learning Techniques to the Re-ranking of Search Results. In: Biundo, Susanne (ed.); Frühwirth, Thom (ed.); Palm, Günther (ed.): KI 2004: Advances in Artificial Intelligence.