L. Seelinger, V. Cheng-Seelinger, A. Davis, M. Parno & A. Reinarz. ‘UM-Bridge: Uncertainty quantification and modeling bridge, Journal of Open Source Software (joss), 2022.
Journal
M. Dumbser, F. Fambri, E. Gaburro & A. Reinarz. On GLM curl cleaning for a first order reduction of the CCZ4 formulation of the Einstein field equations, Journal of Computational Physics, 2019.
Arxiv Journal
A. Reinarz, D. Charrier, M. Bader, L. Bovard, M. Dumbser, K. Duru, F. Fambri, A.-A. Gabriel, J.-M. Gallard, S. K. Koeppel, L. Krenz, L. Rannabauer, L. Rezzolla, P. Samfass, M. Tavelli & T. Weinzierl. ExaHyPE: An Engine for Parallel Dynamically Adaptive Simulations of Wave Problems. Computer Physics Communications, 2019.
Arxiv Journal
R. Butler, T. Dodwell, A. Reinarz & A. Sandhu, R. Scheichl & L. Seelinger. High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites. Computer Physics Communications, 2019.
Arxiv Journal
A. Reinarz & A. Chernov. Sparse Grid Approximation Spaces for the Boundary Integral Formulation of the Heat Equation. Computers & Mathematics with Applications, 2019.
Arxiv Journal
A. Sandhu, A. Reinarz & T. Dodwell. A Bayesian Framework for Assessing the Strength Distribution of Composite Structures with Random Defects. Composite Structures, 2018.
Arxiv Journal
A. Reinarz, T. J. Dodwell, T. Fletcher, L. Seelinger, R. Butler & R. Scheichl dune-composites – A New Framework for High-Performance Finite Element Modelling of Laminates. Composites A., 2018.
Arxiv Journal
A. Chernov & A. Reinarz. Numerical quadrature for high-dimensional singular integrals over parallelotopes. Computers & Mathematics with Applications, 2013.
Journal
A. Chernov & A. Reinarz. Sparse grid approximation spaces for space-time boundary integral formulations of the heat equation, Oberwolfach Workshop Report 2022,6.
Workshop Report
P Samfass, T Weinzierl, A Reinarz & M Bader. Doubt and Redundancy Kill Soft Errors–Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software. Accepted at FTXS, 2021.
ArXiv
L Seelinger, A Reinarz, L Rannabauer, M Bader, P Bastian & R Scheichl. High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo. Accepted SC21, 2021.
ArXiv
J.-M. Gallard, L. Rannabauer, A. Reinarz & M. Bader. Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes. PDSEC20, 2020.
Arxiv Link
J.-M. Gallard, L. Krenz, L. Rannabauer, A. Reinarz & M. Bader. Role-Oriented Code Generation in an Engine for Solving Hyperbolic PDE Systems. SC19 SE-HER, 2019.
Arxiv Conference Proceedings
L. Seelinger, A. Reinarz & R. Scheichl. A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. PPAM, 2019.
Arxiv Conference Proceedings
A. Reinarz, J.-M. Gallard & M. Bader. Influence of A-Posteriori Subcell Limiting on Fault Frequency in Higher-Order DG Schemes, IEEE/ACM 8th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), 2018.
Arxiv Conference Proceedings
T. J. Dodwell, A. Reinarz & A. Sandhu. Uncertainty Quantification of Composite Structures with Wrinkle Defects using Stochastic Simulation, 21st International Conference on Composite Materials, 2017.
A. Reinarz, T. Fletcher, T. J. Dodwell, R. Butler & R. Scheichl. Multiscale Modelling of Lamination Defects in Curved Structures, 21st International Conference on Composite Materials, 2017.
Conference Proceedings
Fletcher T, Reinarz A, Dodwell T, Butler R, Scheichl R & Newley R., Efficient Modelling and Accurate Certification of Curved Aerospace Laminates. 17th Eur. Conf. Composite Materials, 2016.
Conference Proceedings
Ph.D., University of Reading, Supervisors: Alexey Chernov and Steve Langdon. Space-time Boundary Element Methods for the Heat Equation, completed 2015.
PDF
Diploma thesis, University of Bonn, Germany. Supervisor: Alexey Chernov. Numerical quadrature for high dimensional singular integrals, completed 2010.
Better Scientific Software Blog: Link
Quartl article (only available in German): PDF
Towards an Exascale Hyperbolic PDE Engine in High Performance Computing in Science and Engineering