Dirk Pflüger

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 70

Top Venues

Technical University Munich (PHD)

Education History

Technical University Munich

PHD

Publications

Alexander Strack, Christopher Taylor, Patrick Diehl, Dirk Pflüger
Experiences Porting Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study. CoRR (2024)
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 (2024)
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) (2024)
Marcel Breyer, Alexander Van Craen, Dirk Pflüger
Evaluation of SYCL's Different Data Parallel Kernels. IWOCL (2024)
Alexander Strack, Christopher Taylor, Patrick Diehl, Dirk Pflüger
Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-Study. WAMTA (2024)
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) (2024)
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)
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)
Alexander Strack, Dirk Pflüger
Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc. WAMTA (2023)
Peter Domanski, Dirk Pflüger, Raphaël Latty
Learn to Tune: Robust Performance Tuning in Post-Silicon Validation. ETS (2023)
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)
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 (2023)
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)
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)
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)
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 (2023)
Kyle Davis, Raphael Leiteritz, Dirk Pflüger, Miriam Schulte
Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps. CoRR (2023)
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)
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 (2023)
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning. CoRR (2022)
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 (2022)
Alexander Van Craen, Marcel Breyer, Dirk Pflüger
PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine. CoRR (2022)
Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger
Surrogate-data-enriched Physics-Aware Neural Networks. NLDL (2022)
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 (2022)
Theresa Pollinger, Johannes Rentrop, Dirk Pflüger, Katharina Kormann
A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations. CoRR (2022)
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 (2022)
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)
Alexander Van Craen, Marcel Breyer, Dirk Pflüger
PLSSVM - Parallel Least Squares Support Vector Machine. Softw. Impacts 14 (2022)
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
PDEBench: An Extensive Benchmark for Scientific Machine Learning. NeurIPS (2022)
Raphael Leiteritz, Kyle Davis, Miriam Schulte, Dirk Pflüger
A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps. CoRR (2022)
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)
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)
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)
Alexander Van Craen, Marcel Breyer, Dirk Pflüger
PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine. IPDPS Workshops (2022)
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, Raphael 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)
Marcel Breyer, Gregor Daiß, Dirk Pflüger
Performance-Portable Distributed k-Nearest Neighbors using Locality-Sensitive Hashing and SYCL. IWOCL (2021)
Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger
Surrogate-data-enriched Physics-Aware Neural Networks. CoRR (2021)
Raphael Leiteritz, Marcel Hurler, Dirk Pflüger
Learning Free-Surface Flow with Physics-Informed Neural Networks. CoRR (2021)
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) (2021)
Peter Domanski, Dirk Pflüger, Raphaël Latty, Jochen Rivoir
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems. ICMLA (2021)
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 (2021)
Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty
Self-Learning Tuning for Post-Silicon Validation. CoRR (2021)
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)
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)
Raphael Leiteritz, Marcel Hurler, Dirk Pflüger
Learning Free-Surface Flow with Physics-Informed Neural Networks. ICMLA (2021)
Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\. CoRR (2021)
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 (2021)
Theresa Pollinger, Marcel Hurler, Michael Obersteiner, Dirk Pflüger
Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique. HiPar@SC (2021)
Michael F. Rehme, Fabian Franzelin, Dirk Pflüger
B-splines on sparse grids for surrogates in uncertainty quantification. Reliab. Eng. Syst. Saf. 209 (2021)
Raphael Leiteritz, Dirk Pflüger
How to Avoid Trivial Solutions in Physics-Informed Neural Networks. CoRR (2021)
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) (2020)
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)
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)
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 (2019)
David Pfander, Gregor Daiß, Dirk Pflüger
Heterogeneous Distributed Big Data Clustering on Sparse Grids. Algorithms 12 (3) (2019)
Theresa Pollinger, Dirk Pflüger
Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas. PARCO (2019)
Steffen Hirschmann, Andreas Kronenburg, Colin W. Glass, Dirk Pflüger
Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations. PARCO (2019)
David Pfander, Malte Brunn, Dirk Pflüger
AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming. IPDPS Workshops (2018)
David Pfander, Gregor Daiß, Dominic Marcello, Hartmut Kaiser, Dirk Pflüger
Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX. IWOCL (2018)
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 (2018)
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)
Michael Bußler, Patrick Diehl, Dirk Pflüger, Steffen Frey, Filip Sadlo, Thomas Ertl, Marc Alexander Schweitzer
Visualization of fracture progression in peridynamics. Comput. Graph. 67 (2017)
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)
Mario Heene, Alfredo Parra-Hinojosa, Hans-Joachim Bungartz, Dirk Pflüger
A Massively-Parallel, Fault-Tolerant Solver for High-Dimensional PDEs. Euro-Par Workshops (2016)
Philipp Hupp, Mario Heene, Riko Jacob, Dirk Pflüger
Global communication schemes for the numerical solution of high-dimensional PDEs. Parallel Comput. 52 (2016)
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)
Dirk Pflüger, David Pfander
Computational Efficiency vs. Maintainability and Portability. Experiences with the Sparse Grid Code SG++. SE-HPCCSE@SC (2016)
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) (2016)
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 (2016)
Steffen Hirschmann, Dirk Pflüger, Colin W. Glass
Towards Understanding Optimal Load-Balancing of Heterogeneous Short-Range Molecular Dynamics. HiPC Workshops (2016)
Stefan Wagner, Dirk Pflüger, Miriam Mehl
Simulation software engineering: experiences and challenges. SE-HPCCSE@SC (2015)
Mario Heene, Dirk Pflüger
Efficient and scalable distributed-memory hierarchization algorithms for the sparse grid combination technique. PARCO (2015)
Benjamin Peherstorfer, Dirk Pflüger, Hans-Joachim Bungartz
Density Estimation with Adaptive Sparse Grids for Large Data Sets. SDM (2014)
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)
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) (2014)
Alexander Heinecke, Dirk Pflüger
Emerging Architectures Enable to Boost Massively Parallel Data Mining Using Adaptive Sparse Grids. Int. J. Parallel Program. 41 (3) (2013)
Philipp Hupp, Riko Jacob, Mario Heene, Dirk Pflüger, Markus Hegland
Global Communication Schemes for the Sparse Grid Combination Technique. PARCO (2013)
Mario Heene, Christoph Kowitz, Dirk Pflüger
Load Balancing for Massively Parallel Computations with the Sparse Grid Combination Technique. PARCO (2013)
Valeriy Khakhutskyy, Dirk Pflüger, Markus Hegland
Scalability and Fault Tolerance of the Alternating Direction Method of Multipliers for Sparse Grids. PARCO (2013)
Benjamin Peherstorfer, Julius Adorf, Dirk Pflüger, Hans-Joachim Bungartz
Image Segmentation with Adaptive Sparse Grids. Australasian Conference on Artificial Intelligence (2013)
Hans-Joachim Bungartz, Dirk Pflüger, Markus Hegland
High-Dimensional Meets Parallel: Algorithms and Applications. PARCO (2013)
Benjamin Peherstorfer, Dirk Pflüger, Hans-Joachim Bungartz
Clustering Based on Density Estimation with Sparse Grids. KI (2012)
Hans-Joachim Bungartz, Alexander Heinecke, Dirk Pflüger, Stefanie Schraufstetter
Option pricing with a direct adaptive sparse grid approach. J. Comput. Appl. Math. 236 (15) (2012)
Alin Florindor Murarasu, Gerrit Buse, Dirk Pflüger, Josef Weidendorfer, Arndt Bode
Fastsg: A Fast Routines Library for Sparse Grids. ICCS (2012)
Janos Benk, Dirk Pflüger
Hybrid parallel solutions of the Black-Scholes PDE with the truncated combination technique. HPCS (2012)
Daniel Butnaru, Gerrit Buse, Dirk Pflüger
A Parallel and Distributed Surrogate Model Implementation for Computational Steering. ISPDC (2012)
Alexander Heinecke, Benjamin Peherstorfer, Dirk Pflüger, Zhongwen Song
Sparse grid classifiers as base learners for AdaBoost. HPCS (2012)
Gerrit Buse, Dirk Pflüger, Alin Florindor Murarasu, Riko Jacob
A Non-static Data Layout Enhancing Parallelism and Vectorization in Sparse Grid Algorithms. ISPDC (2012)
Daniel Butnaru, Benjamin Peherstorfer, Hans-Joachim Bungartz, Dirk Pflüger
Fast Insight into High-Dimensional Parametrized Simulation Data. ICMLA (2) (2012)
Daniel Butnaru, Dirk Pflüger, Hans-Joachim Bungartz
Towards High-Dimensional Computational Steering of Precomputed Simulation Data using Sparse Grids. ICCS (2011)
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)
Alexander Heinecke, Dirk Pflüger
Multi- and many-core data mining with adaptive sparse grids. Conf. Computing Frontiers (2011)
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)
Alin Florindor Murarasu, Josef Weidendorfer, Gerrit Buse, Daniel Butnaru, Dirk Pflüger
Compact data structure and scalable algorithms for the sparse grid technique. PPOPP (2011)
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)
Hans-Joachim Bungartz, Alexander Heinecke, Dirk Pflüger, Stefanie Schraufstetter
Parallelizing a Black-Scholes solver based on finite elements and sparse grids. IPDPS Workshops (2010)
Dirk Pflüger, Benjamin Peherstorfer, Hans-Joachim Bungartz
Spatially adaptive sparse grids for high-dimensional data-driven problems. J. Complex. 26 (5) (2010)
Dirk Pflüger, Ioan Lucian Muntean, Hans-Joachim Bungartz
Adaptive Sparse Grid Classification Using Grid Environments. International Conference on Computational Science (1) (2007)
Hans-Joachim Bungartz, Dirk Pflüger, Stefan Zimmer
Adaptive Sparse Grid Techniques for Data Mining. HPSC (2006)
Martin Buchholz, Dirk Pflüger, Josiah Poon
Application of Machine Learning Techniques to the Re-ranking of Search Results. KI (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dirk Pflüger