Dirk Pflüger
Universität Stuttgart
H-index: 24
Europe-Germany
Top articles of Dirk Pflüger
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku | The Journal of Supercomputing | Patrick Diehl Gregor Daiß Kevin Huck Dominic Marcello Sagiv Shiber | 2024/4/18 |
Evaluation of SYCL’s Different Data Parallel Kernels | Marcel Breyer Alexander Van Craen Dirk Pflüger | 2024/4/8 | |
Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties | arXiv preprint arXiv:2403.10086 | Denis Schwachhofer Peter Domanski Steffen Becker Stefan Wagner Matthias Sauer | 2024/3/15 |
Experiences Porting Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study | arXiv preprint arXiv:2405.00015 | Alexander Strack Christopher Taylor Patrick Diehl Dirk Pflüger | 2024/2/9 |
Learn to Tune: Robust Performance Tuning in Post-Silicon Validation | Peter Domanski Dirk Pflüger Raphaël Latty | 2023/5/22 | |
Effective or predatory funding? Evaluating the hidden costs of grant applications | Immunology and Cell Biology | Martin Dresler Eva Buddeberg Ulrike Endesfelder Jan Haaker Christian Hof | 2023/2 |
Comparing a Naive and a Tree-Based N-Body Algorithm using Different Standard SYCL Implementations on Various Hardware | Tim Thüring Marcel Breyer Dirk Pflüger | 2023/11/12 | |
Performance Evolution of Different SYCL Implementations based on the Parallel Least Squares Support Vector Machine Library | Marcel Breyer Alexander Van Craen Dirk Pflüger | 2023/4/18 | |
Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique | Theresa Pollinger Alexander Van Craen Christoph Niethammer Marcel Breyer Dirk Pflüger | 2023/11/12 | |
Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL | Gregor Daiß Patrick Diehl Hartmut Kaiser Dirk Pflüger | 2023/4/18 | |
A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations | Journal of Computational Physics | Theresa Pollinger Johannes Rentrop Dirk Pflüger Katharina Kormann | 2023/10/15 |
Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps | arXiv preprint arXiv:2302.08199 | Kyle Davis Raphael Leiteritz Dirk Pflüger Miriam Schulte | 2023/2/16 |
Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning | Peter Domanski Aritra Ray Farshad Firouzi Kyle Lafata Krishnendu Chakrabarty | 2023/7/2 | |
Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc | Alexander Strack Dirk Pflüger | 2023/2/15 | |
Uncertainty Quantification for parameter estimation of an industrial electric motor using hierarchical Bayesian inversion | Mechatronics | Michael F Rehme David N John Michael Schick Dirk Pflüger | 2023/6/1 |
Why many funding schemes harm rather than support research | Nature Human Behaviour | Martin Dresler Eva Buddeberg Ulrike Endesfelder Jan Haaker Christian Hof | 2022/1/31 |
A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations | arXiv preprint arXiv:2209.14064 | Theresa Pollinger Johannes Rentrop Dirk Pflüger Katharina Kormann | 2022/9/23 |
Distributed, combined CPU and GPU profiling within HPX using APEX | arXiv preprint arXiv:2210.06437 | Patrick Diehl Gregor Daiss Kevin Huck Dominic Marcello Sagiv Shiber | 2022/9/21 |
A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps | arXiv preprint arXiv:2203.14961 | Raphael Leiteritz Kyle Davis Miriam Schulte Dirk Pflüger | 2022/3/29 |
Pdebench: An extensive benchmark for scientific machine learning | Advances in Neural Information Processing Systems | Makoto Takamoto Timothy Praditia Raphael Leiteritz Daniel MacKinlay Francesco Alesiani | 2022/12/6 |
Co-Authors
