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Martin Lanser
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2020 – today
- 2024
- [j11]Axel Klawonn, Martin Lanser, Janine Weber:
Learning adaptive coarse basis functions of FETI-DP. J. Comput. Phys. 496: 112587 (2024) - [j10]Christoph Alt, Martin Lanser, Jonas Plewinski, Atin Janki, Axel Klawonn, Harald Köstler, Michael Selzer, Ulrich Rüde:
A continuous benchmarking infrastructure for high-performance computing applications. Int. J. Parallel Emergent Distributed Syst. 39(4): 501-523 (2024) - [j9]Axel Klawonn, Martin Lanser, Janine Weber:
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems. SIAM J. Sci. Comput. 46(5): 557- (2024) - [i9]Axel Klawonn, Martin Lanser, Lucas Mager, Ameya Rege:
Computational homogenization for aerogel-like polydisperse open-porous materials using neural network-based surrogate models on the microscale. CoRR abs/2403.00571 (2024) - [i8]Christoph Alt, Martin Lanser, Jonas Plewinski, Atin Janki, Axel Klawonn, Harald Köstler, Michael Selzer, Ulrich Rüde:
A Continuous Benchmarking Infrastructure for High-Performance Computing Applications. CoRR abs/2403.01579 (2024) - [i7]Tommaso Bevilacqua, Axel Klawonn, Martin Lanser, Adam Wasiak:
Monolithic overlapping Schwarz preconditioners for nonlinear finite element simulations of laser beam welding processes. CoRR abs/2407.03230 (2024) - [i6]Axel Klawonn, Martin Lanser, Janine Weber:
Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition. CoRR abs/2408.14442 (2024) - [i5]Tommaso Bevilacqua, Axel Klawonn, Martin Lanser:
Adaptive and frugal BDDC coarse spaces for virtual element discretizations of a Stokes problem with heterogeneous viscosity. CoRR abs/2409.02860 (2024) - [i4]Axel Klawonn, Martin Lanser:
Nonlinear Monolithic Two-Level Schwarz Methods for the Navier-Stokes Equations. CoRR abs/2409.03041 (2024) - 2023
- [j8]Alexander Heinlein, Axel Klawonn, Martin Lanser:
Adaptive Nonlinear Domain Decomposition Methods with an Application to the $p$-Laplacian. SIAM J. Sci. Comput. 45(3): S152-S172 (2023) - [i3]Axel Klawonn, Martin Lanser, Janine Weber:
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems. CoRR abs/2302.06564 (2023) - [i2]Axel Klawonn, Martin Lanser, Janine Weber:
Machine learning and domain decomposition methods - a survey. CoRR abs/2312.14050 (2023) - [i1]Axel Klawonn, Martin Lanser, Janine Weber:
Learning Adaptive Constraints in Nonlinear FETI-DP Methods. CoRR abs/2312.14252 (2023) - 2021
- [j7]Axel Klawonn, Martin Lanser, Oliver Rheinbach, Gerhard Wellein, Markus Wittmann:
Energy efficiency of nonlinear domain decomposition methods. Int. J. High Perform. Comput. Appl. 35(3) (2021) - [j6]Alexander Heinlein, Axel Klawonn, Martin Lanser, Janine Weber:
Combining Machine Learning and Adaptive Coarse Spaces - A Hybrid Approach for Robust FETI-DP Methods in Three Dimensions. SIAM J. Sci. Comput. 43(5): S816-S838 (2021) - 2020
- [j5]Alexander Heinlein, Martin Lanser:
Additive and Hybrid Nonlinear Two-Level Schwarz Methods and Energy Minimizing Coarse Spaces for Unstructured Grids. SIAM J. Sci. Comput. 42(4): A2461-A2488 (2020) - [p3]Axel Klawonn, Martin Lanser, Matthias Uran, Oliver Rheinbach, Stephan Köhler, Jörg Schröder, Lisa Scheunemann, Dominik Brands, Daniel Balzani, Ashutosh Gandhi, Gerhard Wellein, Markus Wittmann, Olaf Schenk, Radim Janalík:
EXASTEEL: Towards a Virtual Laboratory for the Multiscale Simulation of Dual-Phase Steel Using High-Performance Computing. Software for Exascale Computing 2020: 351-404
2010 – 2019
- 2019
- [j4]Alexander Heinlein, Axel Klawonn, Martin Lanser, Janine Weber:
Machine Learning in Adaptive Domain Decomposition Methods - Predicting the Geometric Location of Constraints. SIAM J. Sci. Comput. 41(6): A3887-A3912 (2019) - [c4]Alexander Heinlein, Axel Klawonn, Martin Lanser, Janine Weber:
Machine Learning in Adaptive FETI-DP: Reducing the Effort in Sampling. ENUMATH 2019: 593-603 - 2018
- [c3]Markus Wittmann, Georg Hager, Radim Janalík, Martin Lanser, Axel Klawonn, Oliver Rheinbach, Olaf Schenk, Gerhard Wellein:
Multicore Performance Engineering of Sparse Triangular Solves Using a Modified Roofline Model. SBAC-PAD 2018: 233-241 - 2017
- [j3]Axel Klawonn, Martin Lanser, Oliver Rheinbach, Matthias Uran:
Nonlinear FETI-DP and BDDC Methods: A Unified Framework and Parallel Results. SIAM J. Sci. Comput. 39(6) (2017) - 2016
- [p2]Daniel Balzani, Ashutosh Gandhi, Axel Klawonn, Martin Lanser, Oliver Rheinbach, Jörg Schröder:
One-Way and Fully-Coupled FE2 Methods for Heterogeneous Elasticity and Plasticity Problems: Parallel Scalability and an Application to Thermo-Elastoplasticity of Dual-Phase Steels. Software for Exascale Computing 2016: 91-112 - [p1]Allison H. Baker, Axel Klawonn, Tzanio V. Kolev, Martin Lanser, Oliver Rheinbach, Ulrike Meier Yang:
Scalability of Classical Algebraic Multigrid for Elasticity to Half a Million Parallel Tasks. Software for Exascale Computing 2016: 113-140 - 2015
- [j2]Axel Klawonn, Martin Lanser, Oliver Rheinbach:
Toward Extremely Scalable Nonlinear Domain Decomposition Methods for Elliptic Partial Differential Equations. SIAM J. Sci. Comput. 37(6) (2015) - [c2]Axel Klawonn, Martin Lanser, Oliver Rheinbach:
A Highly Scalable Implementation of Inexact Nonlinear FETI-DP Without Sparse Direct Solvers. ENUMATH 2015: 255-264 - [c1]Axel Klawonn, Martin Lanser, Oliver Rheinbach:
FE2TI: Computational Scale Bridging for Dual-Phase Steels. PARCO 2015: 797-806 - 2014
- [j1]Axel Klawonn, Martin Lanser, Oliver Rheinbach:
Nonlinear FETI-DP and BDDC Methods. SIAM J. Sci. Comput. 36(2) (2014)
Coauthor Index
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last updated on 2024-10-10 21:16 CEST by the dblp team
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