Staff profile

• High Performance Computing
• Numerical Methods
• Scientific Computing

Conference Paper

• Modelling Fracture Behaviour in Fibre-Hybrid 3D Woven Composites
  
  Weatherburn, A., Reinarz, A., Giani, S., & Szyniszewski, S. (2024). Modelling Fracture Behaviour in Fibre-Hybrid 3D Woven Composites. In W. M. Coombs (Ed.), UKACM Proceedings 2024 (pp. 162-166). UK Association for Computational Mechanics. https://doi.org/10.62512/conf.ukacm2024.002
• Sparse grid approximation spaces for space-time boundary integral formulations of the heat equation
  
  Chernov, A., & Reinarz, A. (2022, February 6 – 2022, February 12). Sparse grid approximation spaces for space-time boundary integral formulations of the heat equation [Conference paper]. Presented at Oberwolfach Workshop on Space-Time Methods for Time-Dependent Partial Differential Equations.
• Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software
  
  Samfass, P., Weinzierl, T., Reinarz, A., & Bader, M. (2021, December). Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software. Presented at Supercomputing 21 - FTXS Workshop - 2021 IEEE/ACM 11th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), St Louis, MO. https://doi.org/10.1109/ftxs54580.2021.00005
• High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo
  
  Seelinger, L., Reinarz, A., Rannabauer, L., Bader, M., Bastian, P., & Scheichl, R. (2021, November). High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo. Presented at SC21: International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO. https://doi.org/10.1145/3458817.3476150
• Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes
  
  Gallard, J.-M., Rannabauer, L., Reinarz, A., & Bader, M. (2020, February 1). Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes. Presented at PDSEC, Denver.
• Role-Oriented Code Generation in an Engine for Solving Hyperbolic PDE Systems
  
  Gallard, J.-M., Krenz, L., Rannabauer, L., Reinarz, A., & Bader, M. (2019, November). Role-Oriented Code Generation in an Engine for Solving Hyperbolic PDE Systems. Presented at SC19 SE-HER, Denver.
• A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems
  
  Seelinger, L., Reinarz, A., & Scheichl, R. (2019). A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. Presented at PPAM 2019, Bialystok.
• Influence of A-Posteriori Subcell Limiting on Fault Frequency in Higher-Order DG Schemes
  
  Reinarz, A., Gallard, J.-M., & Bader, M. (2018). Influence of A-Posteriori Subcell Limiting on Fault Frequency in Higher-Order DG Schemes. Presented at 2018 IEEE/ACM 8th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS). https://doi.org/10.1109/ftxs.2018.00012
• Multiscale Modelling of Lamination Defects in Curved Structures
  
  Reinarz, A., Fletcher, T., Dodwell, T., Butler, R., & Scheichl, R. (2017, September). Multiscale Modelling of Lamination Defects in Curved Structures. Presented at 21st International Conference on Composite Materials.
• Efficient Modelling and Accurate Certification of Curved Aerospace Laminates
  
  Fletcher, T., Reinarz, A., Dodwell, T., Butler, R., Scheichl, R., & Newley, R. (2016). Efficient Modelling and Accurate Certification of Curved Aerospace Laminates. Presented at 17th European Conference on Composite Materials.

Journal Article

• Democratizing Uncertainty Quantification
  
  Seelinger, L., Reinarz, A., Lykkegaard, M. B., Akers, R., Alghamdi, A. M., Aristoff, D., Bangerth, W., Bénézech, J., Diez, M., Frey, K., Jakeman, J. D., Jørgensen, J. S., Kim, K.-T., Kent, B. M., Martinelli, M., Parno, M., Pellegrini, R., Petra, N., Riis, N. A., … Scheichl, R. (2025). Democratizing Uncertainty Quantification. Journal of Computational Physics, 521(1), Article 113542. https://doi.org/10.1016/j.jcp.2024.113542
• UM-Bridge: Uncertainty quantification and modeling bridge
  
  Seelinger, L., Cheng-Seelinger, V., Davis, A., Parno, M., & Reinarz, A. (2023). UM-Bridge: Uncertainty quantification and modeling bridge. Journal of Open Source Software, 8(83), 4748. https://doi.org/10.21105/joss.04748
• ExaHyPE: An engine for parallel dynamically adaptive simulations of wave problems
  
  Reinarz, A., Charrier, D. E., Bader, M., Bovard, L., Dumbser, M., Duru, K., Fambri, F., Gabriel, A.-A., Gallard, J.-M., Köppel, S., Krenz, L., Rannabauer, L., Rezzolla, L., Samfass, P., Tavelli, M., & Weinzierl, T. (2020). ExaHyPE: An engine for parallel dynamically adaptive simulations of wave problems. Computer Physics Communications, 254, Article 107251. https://doi.org/10.1016/j.cpc.2020.107251
• High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites
  
  Butler, R., Dodwell, T., Reinarz, A., Sandhu, A., Scheichl, R., & Seelinger, L. (2020). High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites. Computer Physics Communications, 249, Article 106997. https://doi.org/10.1016/j.cpc.2019.106997
• On GLM curl cleaning for a first order reduction of the CCZ4 formulation of the Einstein field equations
  
  Dumbser, M., Fambri, F., Gaburro, E., & Reinarz, A. (2020). On GLM curl cleaning for a first order reduction of the CCZ4 formulation of the Einstein field equations. Journal of Computational Physics, 404, Article 109088. https://doi.org/10.1016/j.jcp.2019.109088
• Sparse grid approximation spaces for space–time boundary integral formulations of the heat equation
  
  Chernov, A., & Reinarz, A. (2019). Sparse grid approximation spaces for space–time boundary integral formulations of the heat equation. Computers and Mathematics With Applications, 78(11), 3605-3619. https://doi.org/10.1016/j.camwa.2019.06.036
• A Bayesian framework for assessing the strength distribution of composite structures with random defects
  
  Sandhu, A., Reinarz, A., & Dodwell, T. (2018). A Bayesian framework for assessing the strength distribution of composite structures with random defects. Composite Structures, 205, 58-68. https://doi.org/10.1016/j.compstruct.2018.08.074
• dune-composites - A New Framework for High-Performance Finite Element Modelling of Laminates
  
  Reinarz, A., Dodwell, T., Fletcher, T., Seelinger, L., Butler, R., & Scheichl, R. (2018). dune-composites - A New Framework for High-Performance Finite Element Modelling of Laminates. Composite Structures, 184, 269-278. https://doi.org/10.1016/j.compstruct.2017.09.104
• Numerical quadrature for high-dimensional singular integrals over parallelotopes
  
  Chernov, A., & Reinarz, A. (2013). Numerical quadrature for high-dimensional singular integrals over parallelotopes. Computers and Mathematics With Applications, 66(7), 1213-1231. https://doi.org/10.1016/j.camwa.2013.07.017

Other (Print)

• High Performance Computing in Science and Engineering
  
  Bader, M., Gabriel, A., Weinzierl, T., Dumbser, M., Rezzolla, L., Gallard, J., Rannabauer, L., Reinarz, A., Samfass, P., Duru, K., Charrier, D., Hazelwood, B., Fambri, F., Tavelli, M., Bovard, L., & Koeppel, S. (in press). High Performance Computing in Science and Engineering (P. Bastian, D. Kranzlmueller, H. Bruechle, M. Brehm, & G. Mathias, Eds.; pp. 190-191).