no code implementations • 18 May 2023 • Vivin Vinod, Sayan Maity, Peter Zaspel, Ulrich Kleinekathöfer
It can be shown that the multi-fidelity machine learning model can achieve the same accuracy as a machine learning model built only on high cost training data while having a much lower computational effort to generate the data.
no code implementations • 11 Aug 2021 • Drishti Maharjan, Peter Zaspel
A series of simplistic use cases for segmentation and classification on image and fluid data is presented to showcase the technical applicability of such data-driven transformations in Paraview for future complex analysis tasks.
1 code implementation • 8 Aug 2018 • Peter Zaspel, Bing Huang, Helmut Harbrecht, O. Anatole von Lilienfeld
Inspired by Pople diagrams popular in quantum chemistry, we introduce a hierarchical scheme, based on the multi-level combination (C) technique, to combine various levels of approximations made when calculating molecular energies within quantum chemistry.
Chemical Physics
1 code implementation • 20 Jun 2018 • Helmut Harbrecht, Peter Zaspel
In this work, we consider the solution of boundary integral equations by means of a scalable hierarchical matrix approach on clusters equipped with graphics hardware, i. e. graphics processing units (GPUs).
Mathematical Software Distributed, Parallel, and Cluster Computing Numerical Analysis Numerical Analysis
1 code implementation • 31 Aug 2017 • Peter Zaspel
In this work, we consider the reformulation of hierarchical ($\mathcal{H}$) matrix algorithms for many-core processors with a model implementation on graphics processing units (GPUs).
Distributed, Parallel, and Cluster Computing Mathematical Software Numerical Analysis Numerical Analysis 65Y05, 68T05, 65Y10, 68W10, 65Y20, 65F30, 65F10, 15A06, 015-04, 65N38
