Browse by Basel Contributors ID

2021

Harbrecht, Helmut and Jakeman, John D. and Zaspel, Peter. (2021) Cholesky-based experimental design for Gaussian process and kernel-based emulation and calibration. Communications in Computational Physics, 29 (4). pp. 1152-1185.

2020

Harbrecht, H. and Jakeman, J.D. and Zaspel, P.. (2020) Cholesky-based experimental design for Gaussian process and kernel-based emulation and calibration. Preprints Fachbereich Mathematik, 2020 (05).

2019

Harbrecht, Helmut and Zaspel, Peter. (2019) On the algebraic construction of sparse multilevel approximations of elliptic tensor product problems. Journal of scientific computing, 78 (2). pp. 1272-1290.

Zaspel, Peter and Huang, Bing and Harbrecht, Helmut and von Lilienfeld, Anatole O.. (2019) Boosting quantum machine learning models with multi-level combination technique: Pople diagrams revisited. Journal of Chemical Theory and Computation, 15 (3). pp. 1546-1559.

Griebel, Michael and Rieger, Christian and Zaspel, Peter. (2019) Kernel-based stochastic collocation for the random two-phase Navier-Stokes equations. International Journal for Uncertainty Quantification, 9 (5). pp. 471-492.

Zaspel, Peter. (2019) Ensemble Kalman filters for reliability estimation in perfusion inference. International Journal for Uncertainty Quantification, 9 (1). pp. 15-32.

Zaspel, Peter. (2019) Algorithmic patterns for H matrices on many-core processors. Journal of scientific computing, 78 (2). pp. 1174-1206.

2018

Harbrecht, Helmut and Zaspel, Peter. (2018) A scalable H-matrix approach for the solution of boundary integral equations on multi-GPU clusters. Preprints Fachbereich Mathematik, 2018 (11).

Harbrecht, Helmut and Zaspel, Peter Eberhard. (2018) On the algebraic construction of sparse multilevel approximations of elliptic tensor product problems. Preprints Fachbereich Mathematik, 2018 (01).

2017

Zaspel, Peter Eberhard. (2017) Algorithmic patterns for H-matrices on many-core processors. Preprints Fachbereich Mathematik, 2017 (12).

Zaspel, Peter Eberhard. (2017) Analysis and parallelizationstrategies for Ruge-Stüben AMGon many-core processors. Preprints Fachbereich Mathematik, 2017 (06).

Zaspel, Peter Eberhard. (2017) Ensemble Kalman filters for reliability estimation in perfusion inference. Preprints Fachbereich Mathematik, 2017 (04).

2016

Zaspel, Peter. (2016) Subspace correction methods in algebraic multi-level frames. Linear Algebra and its Applications , 488. pp. 505-521.

2014

Pflueger, Dirk and Bungartz, Hans-Joachim and Griebel, Michael and Jenko, Frank and Dannert, Tilman and Heene, Mario and Kowitz, Christoph and Hinojosa, Alfredo Parra and Zaspel, Peter. (2014) EXAHD: An Exa-scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond. In: Lecture Notes in Computer Science, 8806. Berlin, pp. 565-576.

2013

Zaspel, Peter and Griebel, Michael. (2013) Solving incompressible two-phase flows on multi-GPU clusters. Computers & Fluids, 80. pp. 356-364.

2011

Zaspel, Peter and Griebel, Michael. (2011) Massively Parallel Fluid Simulations on Amazon's HPC Cloud. In: 2011 First International Symposium on Network Cloud Computing and Applications. pp. 73-78.

Zaspel, Peter and Griebel, Michael. (2011) Photorealistic visualization and fluid animation: coupling of Maya with a two-phase Navier-Stokes fluid solver. Computing and Visualization in Science, 14 (8). pp. 371-383.

2010

Griebel, Michael and Zaspel, Peter. (2010) A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations. Computer Science - Research and Development, 25. pp. 65-73.