Dirk Pflüger

Orcid: 0000-0002-4360-0212

Affiliations:
  • University of Stuttgart, IPVS, Germany


According to our database1, Dirk Pflüger authored at least 97 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku.
J. Supercomput., August, 2024

Research Data Management in Simulation Science: Infrastructure, Tools, and Applications.
Datenbank-Spektrum, July, 2024

Experiences Porting Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study.
CoRR, 2024

Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties.
CoRR, 2024

Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-Study.
Proceedings of the Asynchronous Many-Task Systems and Applications, 2024

Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies.
Proceedings of the International Conference for High Performance Computing, 2024

Evaluation of SYCL's Different Data Parallel Kernels.
Proceedings of the 12th International Workshop on OpenCL and SYCL, 2024

Short Paper: Evaluation of stdpar Compilers on a Kernel Matrix Assembly and a BLAS Level 3 SYMM Kernel.
Proceedings of the 23rd International Symposium on Parallel and Distributed Computing, 2024

Training Large Language Models for System-Level Test Program Generation Targeting Non-functional Properties.
Proceedings of the IEEE European Test Symposium, 2024

Large Language Model-Based Optimization for System-Level Test Program Generation.
Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 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

Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Digital Health, 2023

Learn to Tune: Robust Performance Tuning in Post-Silicon Validation.
Proceedings of the IEEE European Test Symposium, 2023

2022
PLSSVM - Parallel Least Squares Support Vector Machine.
Softw. Impacts, December, 2022

Distributed, combined CPU and GPU profiling within HPX using APEX.
CoRR, 2022

A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations.
CoRR, 2022

A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps.
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

Surrogate-data-enriched Physics-Aware Neural Networks.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

PDEBench: An Extensive Benchmark for Scientific Machine Learning.
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

PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine.
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


2021
B-splines on sparse grids for surrogates in uncertainty quantification.
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

How to Avoid Trivial Solutions in Physics-Informed Neural Networks.
CoRR, 2021

Self-Learning Tuning for Post-Silicon Validation.
CoRR, 2021

Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit.
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

Beyond Fork-Join: Integration of Performance Portable Kokkos Kernels with HPX.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Learning Free-Surface Flow with Physics-Informed Neural Networks.
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

Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit.
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

Gradient-Based Two-Scale Topology Optimization With B-Splines on Sparse Grids.
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

Heterogeneous Distributed Big Data Clustering on Sparse Grids.
Algorithms, 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

Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations.
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

Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX.
Proceedings of the International Workshop on OpenCL, 2018

AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017
Visualization of fracture progression in peridynamics.
Comput. Graph., 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

Load Balancing with p4est for Short-Range Molecular Dynamics with ESPResSo.
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

Scalable Algorithms for the Solution of Higher-Dimensional PDEs.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

Global communication schemes for the numerical solution of high-dimensional PDEs.
Parallel Comput., 2016

The SE/MP Trade-off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review.
CoRR, 2016

Data mining on vast data sets as a cluster system benchmark.
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

A Massively-Parallel, Fault-Tolerant Solver for High-Dimensional PDEs.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

2015
Simulation software engineering: experiences and challenges.
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
Parallelizing a Black-Scholes solver based on finite elements and sparse grids.
Concurr. Comput. Pract. Exp., 2014

Density Estimation with Adaptive Sparse Grids for Large Data Sets.
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

Modeling and Simulation - An Application-Oriented Introduction.
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

Global Communication Schemes for the Sparse Grid Combination Technique.
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

High-Dimensional Meets Parallel: Algorithms and Applications.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

Image Segmentation with Adaptive Sparse Grids.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

Modellbildung und Simulation - Eine anwendungsorientierte Einführung, 2. Auflage.
eXamen.press, Springer, ISBN: 978-3-642-37655-9, 2013

2012
Fastsg: A Fast Routines Library for Sparse Grids.
Proceedings of the International Conference on Computational Science, 2012

Option pricing with a direct adaptive sparse grid approach.
J. Comput. Appl. Math., 2012

Clustering Based on Density Estimation with Sparse Grids.
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

Sparse grid classifiers as base learners for AdaBoost.
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

Fast Insight into High-Dimensional Parametrized Simulation Data.
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

Compact data structure and scalable algorithms for the sparse grid technique.
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

Multi- and many-core data mining with adaptive sparse grids.
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
Spatially Adaptive Sparse Grids for High-Dimensional Problems.
PhD thesis, 2010

Spatially adaptive sparse grids for high-dimensional data-driven problems.
J. Complex., 2010

2009
Modellbildung und Simulation - Eine anwendungsorientierte Einführung.
eXamen.press, Springer, ISBN: 978-3-540-79809-5, 2009

2007
Adaptive Sparse Grid Classification Using Grid Environments.
Proceedings of the Computational Science, 2007

2006
Adaptive Sparse Grid Techniques for Data Mining.
Proceedings of the Modeling, 2006

2004
Application of Machine Learning Techniques to the Re-ranking of Search Results.
Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004


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