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ORCIDDirk Pflüger
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- affiliation: University of Stuttgart, IPVS, Germany
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2020 – today
- 2024
[j16]Bernd Flemisch, Sibylle Hermann
, Melanie Herschel, Dirk Pflüger, Jürgen Pleiss, Jan Range, Sarbani Roy, Makoto Takamoto, Benjamin Uekermann:
Research Data Management in Simulation Science: Infrastructure, Tools, and Applications. Datenbank-Spektrum 24(2): 97-105 (2024)- [j15]Patrick Diehl, Gregor Daiß, Kevin A. Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, Dirk Pflüger:
Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. J. Supercomput. 80(12): 16947-16978 (2024) - [c65]Denis Schwachhofer, Peter Domanski, Steffen Becker, Stefan Wagner, Matthias Sauer, Dirk Pflüger, Ilia Polian:
Large Language Model-Based Optimization for System-Level Test Program Generation. DFT 2024: 1-6 - [c64]Denis Schwachhofer, Peter Domanski, Steffen Becker, Stefan Wagner, Matthias Sauer, Dirk Pflüger, Ilia Polian:
Training Large Language Models for System-Level Test Program Generation Targeting Non-functional Properties. ETS 2024: 1-4 - [c63]Marcel Breyer, Alexander Van Craen, Dirk Pflüger:
Short Paper: Evaluation of stdpar Compilers on a Kernel Matrix Assembly and a BLAS Level 3 SYMM Kernel. ISPDC 2024: 1-5 - [c62]Marcel Breyer, Alexander Van Craen, Dirk Pflüger:
Evaluation of SYCL's Different Data Parallel Kernels. IWOCL 2024: 10:1-10:4 - [c61]Theresa Pollinger, Alexander Van Craen, Philipp Offenhäuser, Dirk Pflüger:
Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies. SC 2024: 98 - [c60]Alexander Strack, Christopher Taylor, Patrick Diehl, Dirk Pflüger:
Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-Study. WAMTA 2024: 111-122 - [i22]Denis Schwachhofer, Peter Domanski, Steffen Becker, Stefan Wagner, Matthias Sauer, Dirk Pflüger, Ilia Polian:
Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties. CoRR abs/2403.10086 (2024) - [i21]Alexander Strack, Christopher Taylor, Patrick Diehl, Dirk Pflüger:
Experiences Porting Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study. CoRR abs/2405.00015 (2024) - 2023
- [j14]Theresa Pollinger, Johannes Rentrop, Dirk Pflüger, Katharina Kormann:
A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations. J. Comput. Phys. 491: 112338 (2023) - [c59]Peter Domanski, Dirk Pflüger, Raphaël Latty:
Learn to Tune: Robust Performance Tuning in Post-Silicon Validation. ETS 2023: 1-4 - [c58]Peter Domanski, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty, Dirk Pflüger:
Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. ICDH 2023: 339-347 - [c57]Patrick Diehl, Gregor Daiß, Kevin A. Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, Dirk Pflüger:
Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. IPDPS Workshops 2023: 682-691 - [c56]Gregor Daiß, Patrick Diehl, Hartmut Kaiser, Dirk Pflüger:
Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL. IWOCL 2023: 8:1-8:12 - [c55]Marcel Breyer, Alexander Van Craen, Dirk Pflüger:
Performance Evolution of Different SYCL Implementations based on the Parallel Least Squares Support Vector Machine Library. IWOCL 2023: 24:1-24:12 - [c54]Theresa Pollinger, Alexander Van Craen, Christoph Niethammer, Marcel Breyer, Dirk Pflüger:
Leveraging the Compute Power of Two HPC Systems for Higher-Dimensional Grid-Based Simulations with the Widely-Distributed Sparse Grid Combination Technique. SC 2023: 84:1-84:14 - [c53]Tim Thüring, Marcel Breyer, Dirk Pflüger:
Comparing a Naive and a Tree-Based N-Body Algorithm using Different Standard SYCL Implementations on Various Hardware. SC Workshops 2023: 1906-1917 - [c52]Alexander Strack, Dirk Pflüger:
Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc. WAMTA 2023: 52-64 - [i20]Kyle Davis, Raphael Leiteritz, Dirk Pflüger, Miriam Schulte:
Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps. CoRR abs/2302.08199 (2023) - [i19]Gregor Daiß, Patrick Diehl, Hartmut Kaiser, Dirk Pflüger:
Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL. CoRR abs/2303.08058 (2023) - [i18]Patrick Diehl, Gregor Daiß, Kevin A. Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, Dirk Pflüger:
Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. CoRR abs/2304.11002 (2023) - 2022
- [j13]Alexander Van Craen, Marcel Breyer, Dirk Pflüger:
PLSSVM - Parallel Least Squares Support Vector Machine. Softw. Impacts 14: 100343 (2022) - [c51]Hussam Amrouch, Jens Anders, Steffen Becker, Maik Betka, Gerd Bleher, Peter Domanski, Nourhan Elhamawy, Thomas Ertl, Athanasios Gatzastras, Paul R. Genssler, Sebastian Hasler, Martin Heinrich, André van Hoorn, Hanieh Jafarzadeh, Ingmar Kallfass, Florian Klemme, Steffen Koch, Ralf Küsters, Andrés Lalama, Raphaël Latty, Yiwen Liao, Natalia Lylina, Zahra Paria Najafi-Haghi, Dirk Pflüger, Ilia Polian, Jochen Rivoir, Matthias Sauer, Denis Schwachhofer, Steffen Templin, Christian Volmer, Stefan Wagner, Daniel Weiskopf, Hans-Joachim Wunderlich, Bin Yang, Martin Zimmermann:
Intelligent Methods for Test and Reliability. DATE 2022: 969-974 - [c50]Gregor Daiß, Srinivas Yadav Singanaboina, Patrick Diehl, Hartmut Kaiser, Dirk Pflüger:
From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types. ESPM2@SC 2022: 10-19 - [c49]Hussam Amrouch, Krishnendu Chakrabarty, Dirk Pflüger, Ilia Polian, Matthias Sauer, Matteo Sonza Reorda:
Machine Learning for Test, Diagnosis, Post-Silicon Validation and Yield Optimization. ETS 2022: 1-6 - [c48]Alexander Van Craen, Marcel Breyer, Dirk Pflüger:
PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine. IPDPS Workshops 2022: 818-827 - [c47]Marcel Breyer, Alexander Van Craen, Dirk Pflüger:
A Comparison of SYCL, OpenCL, CUDA, and OpenMP for Massively Parallel Support Vector Machine Classification on Multi-Vendor Hardware. IWOCL 2022: 2:1-2:12 - [c46]Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert:
PDEBench: An Extensive Benchmark for Scientific Machine Learning. NeurIPS 2022 - [c45]Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger:
Surrogate-data-enriched Physics-Aware Neural Networks. NLDL 2022 - [c44]Gregor Daiß, Patrick Diehl, Dominic Marcello, Alireza Kheirkhahan, Hartmut Kaiser, Dirk Pflüger:
From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels. P3HPC@SC 2022: 89-99 - [i17]Alexander Van Craen, Marcel Breyer, Dirk Pflüger:
PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine. CoRR abs/2202.12674 (2022) - [i16]Raphael Leiteritz, Kyle Davis, Miriam Schulte, Dirk Pflüger:
A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps. CoRR abs/2203.14961 (2022) - [i15]Theresa Pollinger, Johannes Rentrop, Dirk Pflüger, Katharina Kormann:
A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations. CoRR abs/2209.14064 (2022) - [i14]Patrick Diehl, Gregor Daiß, Kevin A. Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Geoffrey C. Clayton, Dirk Pflüger:
Distributed, combined CPU and GPU profiling within HPX using APEX. CoRR abs/2210.06437 (2022) - [i13]Gregor Daiß, Patrick Diehl, Dominic Marcello, Alireza Kheirkhahan, Hartmut Kaiser, Dirk Pflüger:
From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels. CoRR abs/2210.06438 (2022) - [i12]Gregor Daiß, Srinivas Yadav Singanaboina, Patrick Diehl, Hartmut Kaiser, Dirk Pflüger:
From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types. CoRR abs/2210.06439 (2022) - [i11]Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert:
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning. CoRR abs/2210.07182 (2022) - 2021
- [j12]Patrick Diehl, Dominic Marcello, Parsa Amini, Hartmut Kaiser, Sagiv Shiber, Geoffrey C. Clayton, Juhan Frank, Gregor Daiß, Dirk Pflüger, David Eder, Alice Koniges, Kevin A. Huck:
Performance Measurements Within Asynchronous Task-Based Runtime Systems: A Double White Dwarf Merger as an Application. Comput. Sci. Eng. 23(3): 73-81 (2021) - [j11]Michael F. Rehme, Fabian Franzelin, Dirk Pflüger:
B-splines on sparse grids for surrogates in uncertainty quantification. Reliab. Eng. Syst. Saf. 209: 107430 (2021) - [c43]Patrick Diehl, Gregor Daiß, Dominic Marcello, Kevin A. Huck, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Geoffrey C. Clayton, Dirk Pflüger:
Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit. CLUSTER 2021: 204-214 - [c42]Peter Domanski, Dirk Pflüger, Raphaël Latty, Jochen Rivoir:
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems. ICMLA 2021: 1357-1364 - [c41]Raphael Leiteritz, Marcel Hurler, Dirk Pflüger:
Learning Free-Surface Flow with Physics-Informed Neural Networks. ICMLA 2021: 1668-1673 - [c40]Gregor Daiß, Mikael Simberg, Auriane Reverdell, John Biddiscombe, Theresa Pollinger, Hartmut Kaiser, Dirk Pflüger:
Beyond Fork-Join: Integration of Performance Portable Kokkos Kernels with HPX. IPDPS Workshops 2021: 377-386 - [c39]Marcel Breyer, Gregor Daiß, Dirk Pflüger:
Performance-Portable Distributed k-Nearest Neighbors using Locality-Sensitive Hashing and SYCL. IWOCL 2021: 4:1-4:12 - [c38]Theresa Pollinger, Marcel Hurler, Michael Obersteiner, Dirk Pflüger:
Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique. HiPar@SC 2021: 1-9 - [i10]Patrick Diehl, Dominic Marcello, Parsa Amini, Hartmut Kaiser, Sagiv Shiber, Geoffrey C. Clayton, Juhan Frank, Gregor Daiß, Dirk Pflüger, David Eder, Alice Koniges, Kevin A. Huck:
Performance Measurements within Asynchronous Task-based Runtime Systems: A Double White Dwarf Merger as an Application. CoRR abs/2102.00223 (2021) - [i9]Patrick Diehl, Gregor Daiß, Dominic Marcello, Kevin A. Huck, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Dirk Pflüger:
Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit. CoRR abs/2107.10987 (2021) - [i8]Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty:
Self-Learning Tuning for Post-Silicon Validation. CoRR abs/2111.08995 (2021) - [i7]Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty:
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\. CoRR abs/2111.09043 (2021) - [i6]Raphael Leiteritz, Marcel Hurler, Dirk Pflüger:
Learning Free-Surface Flow with Physics-Informed Neural Networks. CoRR abs/2111.09705 (2021) - [i5]Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger:
Surrogate-data-enriched Physics-Aware Neural Networks. CoRR abs/2112.05489 (2021) - [i4]Raphael Leiteritz, Dirk Pflüger:
How to Avoid Trivial Solutions in Physics-Informed Neural Networks. CoRR abs/2112.05620 (2021) - 2020
- [j10]Julian Valentin, Daniel Hübner, Michael Stingl, Dirk Pflüger:
Gradient-Based Two-Scale Topology Optimization With B-Splines on Sparse Grids. SIAM J. Sci. Comput. 42(4): B1092-B1114 (2020) - [p3]Rafael Lago, Michael Obersteiner, Theresa Pollinger, Johannes Rentrop, Hans-Joachim Bungartz, Tilman Dannert, Michael Griebel, Frank Jenko, Dirk Pflüger:
EXAHD: A Massively Parallel Fault Tolerant Sparse Grid Approach for High-Dimensional Turbulent Plasma Simulations. Software for Exascale Computing 2020: 301-329
2010 – 2019
- 2019
- [j9]David Pfander, Gregor Daiß, Dirk Pflüger:
Heterogeneous Distributed Big Data Clustering on Sparse Grids. Algorithms 12(3): 60 (2019) - [j8]Thomas Heller, Bryce Adelstein-Lelbach, Kevin A. Huck, John Biddiscombe, Patricia Grubel, Alice E. Koniges, Matthias Kretz, Dominic Marcello, David Pfander, Adrian Serio, Frank J. Seinstra, Geoffrey C. Clayton, Dirk Pflüger, David Eder, Hartmut Kaiser:
Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars. Int. J. High Perform. Comput. Appl. 33(4) (2019) - [c37]Theresa Pollinger, Dirk Pflüger:
Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas. PARCO 2019: 137-146 - [c36]Steffen Hirschmann, Andreas Kronenburg, Colin W. Glass, Dirk Pflüger:
Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations. PARCO 2019: 147-156 - [c35]Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin A. Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger:
From piz daint to the stars: simulation of stellar mergers using high-level abstractions. SC 2019: 62:1-62:37 - [i3]Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin A. Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger:
From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions. CoRR abs/1908.03121 (2019) - 2018
- [c34]David Pfander, Malte Brunn, Dirk Pflüger:
AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming. IPDPS Workshops 2018: 1123-1132 - [c33]David Pfander, Gregor Daiß, Dominic Marcello, Hartmut Kaiser, Dirk Pflüger:
Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX. IWOCL 2018: 19:1-19:8 - [i2]Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde:
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. CoRR abs/1802.03064 (2018) - 2017
- [j7]Michael Bußler, Patrick Diehl, Dirk Pflüger, Steffen Frey, Filip Sadlo, Thomas Ertl, Marc Alexander Schweitzer:
Visualization of fracture progression in peridynamics. Comput. Graph. 67: 45-57 (2017) - [c32]Steffen Hirschmann, Malte Brunn, Michael Lahnert, Colin W. Glass, Miriam Mehl, Dirk Pflüger:
Load Balancing with p4est for Short-Range Molecular Dynamics with ESPResSo. PARCO 2017: 455-464 - [c31]Michael Obersteiner, Alfredo Parra-Hinojosa, Mario Heene, Hans-Joachim Bungartz, Dirk Pflüger:
A highly scalable, algorithm-based fault-tolerant solver for gyrokinetic plasma simulations. ScalA@SC 2017: 2:1-2:8 - 2016
- [j6]Alexander Heinecke, Roman Karlstetter, Dirk Pflüger, Hans-Joachim Bungartz:
Data mining on vast data sets as a cluster system benchmark. Concurr. Comput. Pract. Exp. 28(7): 2145-2165 (2016) - [j5]Philipp Hupp, Mario Heene, Riko Jacob, Dirk Pflüger:
Global communication schemes for the numerical solution of high-dimensional PDEs. Parallel Comput. 52: 78-105 (2016) - [c30]Mario Heene, Alfredo Parra-Hinojosa, Hans-Joachim Bungartz, Dirk Pflüger:
A Massively-Parallel, Fault-Tolerant Solver for High-Dimensional PDEs. Euro-Par Workshops 2016: 635-647 - [c29]Steffen Hirschmann, Dirk Pflüger, Colin W. Glass:
Towards Understanding Optimal Load-Balancing of Heterogeneous Short-Range Molecular Dynamics. HiPC Workshops 2016: 130-141 - [c28]Dirk Pflüger, David Pfander:
Computational Efficiency vs. Maintainability and Portability. Experiences with the Sparse Grid Code SG++. SE-HPCCSE@SC 2016: 17-25 - [c27]Dirk Pflüger, Miriam Mehl, Julian Valentin, Florian Lindner, David Pfander, Stefan Wagner, Daniel Graziotin, Yang Wang:
The Scalability-Efficiency/Maintainability-Portability Trade-Off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review. SE-HPCCSE@SC 2016: 26-34 - [p2]Markus Hegland, Brendan Harding, Christoph Kowitz, Dirk Pflüger, Peter E. Strazdins:
Recent Developments in the Theory and Application of the Sparse Grid Combination Technique. Software for Exascale Computing 2016: 143-163 - [p1]Mario Heene, Dirk Pflüger:
Scalable Algorithms for the Solution of Higher-Dimensional PDEs. Software for Exascale Computing 2016: 165-186 - [i1]Dirk Pflüger, Miriam Mehl, Julian Valentin, Florian Lindner, Stefan Wagner, Daniel Graziotin, Yang Wang:
The SE/MP Trade-off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review. CoRR abs/1608.04336 (2016) - 2015
- [c26]Mario Heene, Dirk Pflüger:
Efficient and scalable distributed-memory hierarchization algorithms for the sparse grid combination technique. PARCO 2015: 339-348 - [c25]Stefan Wagner, Dirk Pflüger, Miriam Mehl:
Simulation software engineering: experiences and challenges. SE-HPCCSE@SC 2015: 1-4 - 2014
- [b4]Hans-Joachim Bungartz, Stefan Zimmer, Martin Buchholz, Dirk Pflüger:
Modeling and Simulation - An Application-Oriented Introduction. Springer undergraduate texts in mathematics and technology, Springer 2014, ISBN 978-3-642-39523-9, pp. I-XIV, 1-413 - [j4]Hans-Joachim Bungartz, Alexander Heinecke, Dirk Pflüger, Stefanie Schraufstetter:
Parallelizing a Black-Scholes solver based on finite elements and sparse grids. Concurr. Comput. Pract. Exp. 26(9): 1640-1653 (2014) - [c24]Dirk Pflüger, Hans-Joachim Bungartz, Michael Griebel, Frank Jenko, Tilman Dannert, Mario Heene, Christoph Kowitz, Alfredo Parra-Hinojosa, Peter Zaspel:
EXAHD: An Exa-scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond. Euro-Par Workshops (2) 2014: 565-576 - [c23]Benjamin Peherstorfer, Dirk Pflüger, Hans-Joachim Bungartz:
Density Estimation with Adaptive Sparse Grids for Large Data Sets. SDM 2014: 443-451 - 2013
- [b3]Hans-Joachim Bungartz, Stefan Zimmer, Martin Buchholz, Dirk Pflüger:
Modellbildung und Simulation - Eine anwendungsorientierte Einführung, 2. Auflage. eXamen.press, Springer 2013, ISBN 978-3-642-37655-9, pp. I-XVI, 1-400 - [j3]Alexander Heinecke, Dirk Pflüger:
Emerging Architectures Enable to Boost Massively Parallel Data Mining Using Adaptive Sparse Grids. Int. J. Parallel Program. 41(3): 357-399 (2013) - [c22]Benjamin Peherstorfer, Julius Adorf, Dirk Pflüger, Hans-Joachim Bungartz:
Image Segmentation with Adaptive Sparse Grids. Australasian Conference on Artificial Intelligence 2013: 160-165 - [c21]Hans-Joachim Bungartz, Dirk Pflüger, Markus Hegland:
High-Dimensional Meets Parallel: Algorithms and Applications. PARCO 2013: 563-563 - [c20]Philipp Hupp, Riko Jacob, Mario Heene, Dirk Pflüger, Markus Hegland:
Global Communication Schemes for the Sparse Grid Combination Technique. PARCO 2013: 564-573 - [c19]Mario Heene, Christoph Kowitz, Dirk Pflüger:
Load Balancing for Massively Parallel Computations with the Sparse Grid Combination Technique. PARCO 2013: 574-583 - [c18]Valeriy Khakhutskyy, Dirk Pflüger, Markus Hegland:
Scalability and Fault Tolerance of the Alternating Direction Method of Multipliers for Sparse Grids. PARCO 2013: 603-612 - 2012
- [j2]Hans-Joachim Bungartz, Alexander Heinecke, Dirk Pflüger, Stefanie Schraufstetter:
Option pricing with a direct adaptive sparse grid approach. J. Comput. Appl. Math. 236(15): 3741-3750 (2012) - [c17]Daniel Butnaru, Benjamin Peherstorfer, Hans-Joachim Bungartz, Dirk Pflüger:
Fast Insight into High-Dimensional Parametrized Simulation Data. ICMLA (2) 2012: 265-270 - [c16]Alexander Heinecke, Benjamin Peherstorfer, Dirk Pflüger, Zhongwen Song:
Sparse grid classifiers as base learners for AdaBoost. HPCS 2012: 161-166 - [c15]Janos Benk, Dirk Pflüger:
Hybrid parallel solutions of the Black-Scholes PDE with the truncated combination technique. HPCS 2012: 678-683 - [c14]Gerrit Buse, Dirk Pflüger, Alin Florindor Murarasu, Riko Jacob:
A Non-static Data Layout Enhancing Parallelism and Vectorization in Sparse Grid Algorithms. ISPDC 2012: 195-202 - [c13]Daniel Butnaru, Gerrit Buse, Dirk Pflüger:
A Parallel and Distributed Surrogate Model Implementation for Computational Steering. ISPDC 2012: 203-210 - [c12]Benjamin Peherstorfer, Dirk Pflüger, Hans-Joachim Bungartz:
Clustering Based on Density Estimation with Sparse Grids. KI 2012: 131-142 - [c11]Alin Florindor Murarasu, Gerrit Buse, Dirk Pflüger, Josef Weidendorfer, Arndt Bode:
Fastsg: A Fast Routines Library for Sparse Grids. ICCS 2012: 354-363 - 2011
- [c10]Benjamin Peherstorfer, Dirk Pflüger, Hans-Joachim Bungartz:
A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps. Australasian Conference on Artificial Intelligence 2011: 112-121 - [c9]Alexander Heinecke, Dirk Pflüger:
Multi- and many-core data mining with adaptive sparse grids. Conf. Computing Frontiers 2011: 29 - [c8]Alexander Heinecke, Michael Klemm, Dirk Pflüger, Arndt Bode, Hans-Joachim Bungartz:
Extending a Highly Parallel Data Mining Algorithm to the Intel ® Many Integrated Core Architecture. Euro-Par Workshops (2) 2011: 375-384 - [c7]Alexander Heinecke, Michael Klemm, Hans Pabst, Dirk Pflüger:
Towards High-Performance Implementations of a Custom HPC Kernel Using ® Array Building Blocks. Facing the Multicore-Challenge 2011: 36-47 - [c6]Alin Florindor Murarasu, Josef Weidendorfer, Gerrit Buse, Daniel Butnaru, Dirk Pflüger:
Compact data structure and scalable algorithms for the sparse grid technique. PPoPP 2011: 25-34 - [c5]Daniel Butnaru, Dirk Pflüger, Hans-Joachim Bungartz:
Towards High-Dimensional Computational Steering of Precomputed Simulation Data using Sparse Grids. ICCS 2011: 56-65 - 2010
- [b2]Dirk Pflüger:
Spatially Adaptive Sparse Grids for High-Dimensional Problems. Technical University Munich, 2010, ISBN 978-3-86853-555-6 - [j1]Dirk Pflüger, Benjamin Peherstorfer, Hans-Joachim Bungartz:
Spatially adaptive sparse grids for high-dimensional data-driven problems. J. Complex. 26(5): 508-522 (2010) - [c4]Hans-Joachim Bungartz, Alexander Heinecke, Dirk Pflüger, Stefanie Schraufstetter:
Parallelizing a Black-Scholes solver based on finite elements and sparse grids. IPDPS Workshops 2010: 1-8
2000 – 2009
- 2009
- [b1]Hans-Joachim Bungartz, Stefan Zimmer, Martin Buchholz, Dirk Pflüger:
Modellbildung und Simulation - Eine anwendungsorientierte Einführung. eXamen.press, Springer 2009, ISBN 978-3-540-79809-5, pp. I-XVI, 1-429 - 2007
- [c3]Dirk Pflüger, Ioan Lucian Muntean, Hans-Joachim Bungartz:
Adaptive Sparse Grid Classification Using Grid Environments. International Conference on Computational Science (1) 2007: 708-715 - 2006
- [c2]Hans-Joachim Bungartz, Dirk Pflüger, Stefan Zimmer:
Adaptive Sparse Grid Techniques for Data Mining. HPSC 2006: 121-130 - 2004
- [c1]Martin Buchholz, Dirk Pflüger, Josiah Poon:
Application of Machine Learning Techniques to the Re-ranking of Search Results. KI 2004: 67-81
Coauthor Index
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last updated on 2024-12-22 19:03 CET by the dblp team
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