A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations M Griebel, P Zaspel
Computer Science-Research and Development 25, 65-73, 2010
96 2010 Boosting quantum machine learning models with a multilevel combination technique: Pople diagrams revisited P Zaspel, B Huang, H Harbrecht, OA von Lilienfeld
Journal of chemical theory and computation 15 (3), 1546-1559, 2018
93 2018 Solving incompressible two-phase flows on multi-GPU clusters P Zaspel, M Griebel
Computers & Fluids 80, 356-364, 2013
86 2013 Massively parallel fluid simulations on Amazon's HPC cloud P Zaspel, M Griebel
2011 First International Symposium on Network Cloud Computing and …, 2011
41 2011 EXAHD: an exa-scalable two-level sparse grid approach for higher-dimensional problems in plasma physics and beyond D Pflüger, HJ Bungartz, M Griebel, F Jenko, T Dannert, M Heene, ...
Euro-Par 2014: Parallel Processing Workshops: Euro-Par 2014 International …, 2014
23 2014 Algorithmic Patterns for -Matrices on Many-Core Processors P Zaspel
Journal of Scientific Computing 78 (2), 1174-1206, 2019
11 2019 Photorealistic visualization and fluid animation: coupling of Maya with a two-phase Navier-Stokes fluid solver P Zaspel, M Griebel
Computing and visualization in science 14, 371-383, 2011
10 2011 Cholesky-based experimental design for Gaussian process and kernel-based emulation and calibration H Harbrecht, JD Jakeman, P Zaspel
Universität Basel 2020 (05), 2020
7 2020 Solving incompressible two-phase flows on massively parallel multi-GPU clusters P Zaspel, M Griebel
Computers and Fluids, Submitted: INS Preprint, 2011
7 2011 Uncertainty quantification and high performance computing (dagstuhl seminar 16372) V Heuveline, M Schick, C Webster, P Zaspel
Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2017
4 2017 Parallel RBF Kernel-Based Stochastic Collocation for Large-Scale Random PDEs P Zaspel
Universitäts-und Landesbibliothek Bonn, 2015
4 2015 A scalable H-matrix approach for the solution of boundary integral equations on multi-GPU clusters H Harbrecht, P Zaspel
arXiv preprint arXiv:1806.11558, 2018
3 2018 Analysis and parallelizationstrategies for Ruge-Stüben AMGon many-core processors PE Zaspel
Universität Basel 2017 (06), 2017
3 2017 Optimized Multifidelity Machine Learning for Quantum Chemistry V Vinod, U Kleinekathöfer, P Zaspel
Machine Learning: Science and Technology, 2023
2 2023 Multifidelity Machine Learning for Molecular Excitation Energies V Vinod, S Maity, P Zaspel, U Kleinekathöfer
Journal of Chemical Theory and Computation 19 (21), 7658-7670, 2023
2 2023 Weighted greedy-optimal design of computer experiments for kernel-based and Gaussian process model emulation and calibration H Helmut, JD Jakeman, P Zaspel
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2 2020 Kernel-based stochastic collocation for the random two-phase Navier-Stokes equations M Griebel, C Rieger, P Zaspel
International Journal for Uncertainty Quantification 9 (5), 2019
2 2019 Subspace correction methods in algebraic multi-level frames P Zaspel
Linear Algebra and its Applications 488, 505-521, 2016
2 2016 Zweiphasige Navier-Stokes Fluidsimulationen in Maya: Konfiguration, Visualisierung und Animation P Zaspel
Diplomarbeit, Institut für Numerische Simulation Universität Bonn, 2009
2 2009 TOWARD DATA-DRIVEN FILTERS IN PARAVIEW D Maharjan, P Zaspel
Journal of Flow Visualization and Image Processing 29 (3), 2022
1 2022