34 results on '"Dirk Pflüger"'
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2. Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-Study.
3. Evaluation of SYCL's Different Data Parallel Kernels.
4. Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku.
5. Research Data Management in Simulation Science: Infrastructure, Tools, and Applications.
6. Experiences Porting Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study.
7. Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties.
8. Learn to Tune: Robust Performance Tuning in Post-Silicon Validation.
9. Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku.
10. Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning.
11. Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc.
12. Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL.
13. Performance Evolution of Different SYCL Implementations based on the Parallel Least Squares Support Vector Machine Library.
14. Comparing a Naive and a Tree-Based N-Body Algorithm using Different Standard SYCL Implementations on Various Hardware.
15. Leveraging the Compute Power of Two HPC Systems for Higher-Dimensional Grid-Based Simulations with the Widely-Distributed Sparse Grid Combination Technique.
16. Machine Learning for Test, Diagnosis, Post-Silicon Validation and Yield Optimization.
17. PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine.
18. A Comparison of SYCL, OpenCL, CUDA, and OpenMP for Massively Parallel Support Vector Machine Classification on Multi-Vendor Hardware.
19. Intelligent Methods for Test and Reliability.
20. From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels.
21. From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types.
22. Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps.
23. PDEBench: An Extensive Benchmark for Scientific Machine Learning.
24. Surrogate-data-enriched Physics-Aware Neural Networks.
25. Distributed, combined CPU and GPU profiling within HPX using APEX.
26. A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations.
27. A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps.
28. A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations.
29. PLSSVM - Parallel Least Squares Support Vector Machine.
30. Effective or predatory funding? Evaluating the hidden costs of grant applications
31. Uncertainty Quantification for parameter estimation of an industrial electric motor using hierarchical Bayesian inversion
32. Why many funding schemes harm rather than support research
33. Sound sleep: Lullabies as a test case for the neurobiological effects of music-CORRIGENDUM
34. Sparse Grids and Applications - Munich 2018
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