Numerical quadrature for high-dimensional singular integrals over parallelotopes. - Alexey Chernov; Anne Reinarz (Comput. Math. Appl., 2013)

Influence of A-Posteriori Subcell Limiting on Fault Frequency in Higher-Order DG Schemes. - Anne Reinarz; Jean-Mathieu Gallard; Michael Bader (FTXS@SC, 2018)

A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. - Linus Seelinger; Anne Reinarz; Robert Scheichl (PPAM (1), 2019)

Role-Oriented Code Generation in an Engine for Solving Hyperbolic PDE Systems. - Jean-Matthieu Gallard; Lukas Krenz; Leonhard Rannabauer; Anne Reinarz; Michael Bader (HUST/SE-HER/WIHPC@SC, 2019)

Sparse grid approximation spaces for space-time boundary integral formulations of the heat equation. - Alexey Chernov; Anne Reinarz (Comput. Math. Appl., 2019)

Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes. - Jean-Matthieu Gallard; Leonhard Rannabauer; Anne Reinarz; Michael Bader (IPDPS Workshops, 2020)

High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites. - Richard Butler; Tim J. Dodwell; Anne Reinarz; A. Sandhu; Robert Scheichl; Linus Seelinger (Comput. Phys. Commun., 2020)

ExaHyPE: An engine for parallel dynamically adaptive simulations of wave problems. - Anne Reinarz; Dominic Etienne Charrier; Michael Bader; Luke Bovard; Michael Dumbser; Kenneth Duru; Francesco Fambri; Alice-Agnes Gabriel; Jean-Matthieu Gallard; Sven Köppel; Lukas Krenz; Leonhard Rannabauer; et al. (Comput. Phys. Commun., 2020)

On GLM curl cleaning for a first order reduction of the CCZ4 formulation of the Einstein field equations. - Michael Dumbser; Francesco Fambri; Elena Gaburro; Anne Reinarz (J. Comput. Phys., 2020)

Doubt and Redundancy Kill Soft Errors - Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software. - Philipp Samfass; Tobias Weinzierl; Anne Reinarz; Michael Bader (FTXS@SC, 2021)

High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo. - Linus Seelinger; Anne Reinarz; Leonhard Rannabauer; Michael Bader; Peter Bastian; Robert Scheichl (SC, 2021)

Lowering the Entry Bar to HPC-Scale Uncertainty Quantification. - Linus Seelinger; Anne Reinarz; Jean Bénézech; Mikkel Bue Lykkegaard; Lorenzo Tamellini; Robert Scheichl (CoRR, 2023)

UM-Bridge: Uncertainty quantification and modeling bridge. - Linus Seelinger; Vivian Cheng-Seelinger; Andrew D. Davis; Matthew D. Parno; Anne Reinarz (J. Open Source Softw., 2023)

Democratizing Uncertainty Quantification. - Linus Seelinger; Anne Reinarz; Mikkel Bue Lykkegaard; Amal Mohammed A. Alghamdi; David Aristoff; Wolfgang Bangerth; Jean Bénézech; Matteo Diez; Kurt Frey; John D. Jakeman; Jakob Sauer Jørgensen; Ki-Tae Kim; et al. (CoRR, 2024)

A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems. - Chung Ming Loi; Anne Reinarz; Linus Seelinger; William Hornsby; James Buchanan; Mikkel Bue Lykkegaard (ISC, 2025)

Democratizing uncertainty quantification. - Linus Seelinger; Anne Reinarz; Mikkel Bue Lykkegaard; Robert Akers; Amal Mohammed A. Alghamdi; David Aristoff; Wolfgang Bangerth; Jean Bénézech; Matteo Diez; Kurt Frey; John D. Jakeman; Jakob Sauer Jørgensen; et al. (J. Comput. Phys., 2025)