Dirk Pflüger
Orcid: 0000-0002-4360-0212Affiliations:
- University of Stuttgart, IPVS, Germany
According to our database1,
Dirk Pflüger
authored at least 90 papers
between 2004 and 2024.
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Bibliography
2024
Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties.
CoRR, 2024
Proceedings of the 12th International Workshop on OpenCL and SYCL, 2024
2023
A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations.
J. Comput. Phys., October, 2023
Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps.
CoRR, 2023
Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc.
Proceedings of the Asynchronous Many-Task Systems and Applications, 2023
Comparing a Naive and a Tree-Based N-Body Algorithm using Different Standard SYCL Implementations on Various Hardware.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Leveraging the Compute Power of Two HPC Systems for Higher-Dimensional Grid-Based Simulations with the Widely-Distributed Sparse Grid Combination Technique.
Proceedings of the International Conference for High Performance Computing, 2023
Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL.
Proceedings of the 2023 International Workshop on OpenCL, 2023
Performance Evolution of Different SYCL Implementations based on the Parallel Least Squares Support Vector Machine Library.
Proceedings of the 2023 International Workshop on OpenCL, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the IEEE International Conference on Digital Health, 2023
Proceedings of the IEEE European Test Symposium, 2023
2022
Softw. Impacts, December, 2022
A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations.
CoRR, 2022
CoRR, 2022
From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels.
Proceedings of the IEEE/ACM International Workshop on Performance, 2022
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Comparison of SYCL, OpenCL, CUDA, and OpenMP for Massively Parallel Support Vector Machine Classification on Multi-Vendor Hardware.
Proceedings of the IWOCL'22: International Workshop on OpenCL, Bristol, United Kingdom, May 10, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Machine Learning for Test, Diagnosis, Post-Silicon Validation and Yield Optimization.
Proceedings of the IEEE European Test Symposium, 2022
From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types.
Proceedings of the 7th IEEE/ACM International Workshop on Extreme Scale Programming Models and Middleware, 2022
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
2021
Reliab. Eng. Syst. Saf., 2021
Performance Measurements Within Asynchronous Task-Based Runtime Systems: A Double White Dwarf Merger as an Application.
Comput. Sci. Eng., 2021
CoRR, 2021
Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique.
Proceedings of the IEEE/ACM International Workshop on Hierarchical Parallelism for Exascale Computing, 2021
Performance-Portable Distributed k-Nearest Neighbors using Locality-Sensitive Hashing and SYCL.
Proceedings of the IWOCL'21: International Workshop on OpenCL, Munich Germany, April, 2021, 2021
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
2020
EXAHD: A Massively Parallel Fault Tolerant Sparse Grid Approach for High-Dimensional Turbulent Plasma Simulations.
Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020
SIAM J. Sci. Comput., 2020
2019
Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars.
Int. J. High Perform. Comput. Appl., 2019
From piz daint to the stars: simulation of stellar mergers using high-level abstractions.
Proceedings of the International Conference for High Performance Computing, 2019
Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas.
Proceedings of the Parallel Computing: Technology Trends, 2019
Proceedings of the Parallel Computing: Technology Trends, 2019
2018
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario.
CoRR, 2018
Proceedings of the International Workshop on OpenCL, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
2017
A highly scalable, algorithm-based fault-tolerant solver for gyrokinetic plasma simulations.
Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2017
Proceedings of the Parallel Computing is Everywhere, 2017
2016
Recent Developments in the Theory and Application of the Sparse Grid Combination Technique.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016
Parallel Comput., 2016
The SE/MP Trade-off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review.
CoRR, 2016
Concurr. Comput. Pract. Exp., 2016
Computational Efficiency vs. Maintainability and Portability. Experiences with the Sparse Grid Code SG++.
Proceedings of the Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2016
The Scalability-Efficiency/Maintainability-Portability Trade-Off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review.
Proceedings of the Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2016
Towards Understanding Optimal Load-Balancing of Heterogeneous Short-Range Molecular Dynamics.
Proceedings of the 23rd IEEE International Conference on High Performance Computing Workshops, 2016
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016
2015
Proceedings of the 3rd International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2015
Efficient and scalable distributed-memory hierarchization algorithms for the sparse grid combination technique.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015
2014
Concurr. Comput. Pract. Exp., 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
EXAHD: An Exa-scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond.
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014
Springer undergraduate texts in mathematics and technology, Springer, ISBN: 978-3-642-39523-9, 2014
2013
Emerging Architectures Enable to Boost Massively Parallel Data Mining Using Adaptive Sparse Grids.
Int. J. Parallel Program., 2013
Scalability and Fault Tolerance of the Alternating Direction Method of Multipliers for Sparse Grids.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013
Load Balancing for Massively Parallel Computations with the Sparse Grid Combination Technique.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
eXamen.press, Springer, ISBN: 978-3-642-37655-9, 2013
2012
Proceedings of the International Conference on Computational Science, 2012
J. Comput. Appl. Math., 2012
Proceedings of the KI 2012: Advances in Artificial Intelligence, 2012
A Parallel and Distributed Surrogate Model Implementation for Computational Steering.
Proceedings of the 11th International Symposium on Parallel and Distributed Computing, 2012
A Non-static Data Layout Enhancing Parallelism and Vectorization in Sparse Grid Algorithms.
Proceedings of the 11th International Symposium on Parallel and Distributed Computing, 2012
Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012
Hybrid parallel solutions of the Black-Scholes PDE with the truncated combination technique.
Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
Towards High-Dimensional Computational Steering of Precomputed Simulation Data using Sparse Grids.
Proceedings of the International Conference on Computational Science, 2011
Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2011
Towards High-Performance Implementations of a Custom HPC Kernel Using ® Array Building Blocks.
Proceedings of the Facing the Multicore - Challenge II, 2011
Extending a Highly Parallel Data Mining Algorithm to the Intel ® Many Integrated Core Architecture.
Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2011
Proceedings of the 8th Conference on Computing Frontiers, 2011
A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
J. Complex., 2010
2009
eXamen.press, Springer, ISBN: 978-3-540-79809-5, 2009
2007
Proceedings of the Computational Science, 2007
2006
2004
Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004