Linus Seelinger

17 papers A 1C 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 C conf
A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems.
ISC
Chung Ming Loi, Anne Reinarz, Linus Seelinger, William Hornsby, James Buchanan, Mikkel Bue Lykkegaard
2025 J jnl
A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems.
CoRR
Chung Ming Loi, Anne Reinarz, Mikkel Bue Lykkegaard, William Hornsby, James Buchanan, Linus Seelinger
2025 J jnl
Democratizing uncertainty quantification.
J. Comput. Phys.
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, Ki-Tae Kim, Benjamin M. Kent, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2025 — conf
Scalable Bayesian Inference of Large Simulations via Asynchronous Prefetching Multilevel Delayed Acceptance.
PASC
Maximilian Kruse, Zihua Niu, Sebastian Wolf, Mikkel Bue Lykkegaard, Michael Bader, Alice-Agnes Gabriel, Linus Seelinger
2024 J jnl
Democratizing Uncertainty Quantification.
CoRR
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, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2024 J jnl
Scalable multiscale-spectral GFEM with an application to composite aero-structures.
J. Comput. Phys.
Jean Bénézech, Linus Seelinger, Peter Bastian, Richard Butler, Timothy Dodwell, Chupeng Ma, Robert Scheichl
2023 J jnl
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification.
CoRR
Linus Seelinger, Anne Reinarz, Jean Bénézech, Mikkel Bue Lykkegaard, Lorenzo Tamellini, Robert Scheichl
2023 J jnl
Multilevel Spectral Domain Decomposition.
SIAM J. Sci. Comput.
Peter Bastian, Robert Scheichl, Linus Seelinger, Arne Strehlow
2023 J jnl
UM-Bridge: Uncertainty quantification and modeling bridge.
J. Open Source Softw.
Linus Seelinger, Vivian Cheng-Seelinger, Andrew D. Davis, Matthew D. Parno, Anne Reinarz
2022 J jnl
Scalable multiscale-spectral GFEM for composite aero-structures.
CoRR
Jean Bénézech, Linus Seelinger, Peter Bastian, Richard Butler, Timothy Dodwell, Chupeng Ma, Robert Scheichl
2021 J jnl
High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo.
CoRR
Linus Seelinger, Anne Reinarz, Leonhard Rannabauer, Michael Bader, Peter Bastian, Robert Scheichl
2021 A conf
High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo.
SC
Linus Seelinger, Anne Reinarz, Leonhard Rannabauer, Michael Bader, Peter Bastian, Robert Scheichl
2021 J jnl
MUQ: The MIT Uncertainty Quantification Library.
J. Open Source Softw.
Matthew D. Parno, Andrew D. Davis, Linus Seelinger
2021 J jnl
Multilevel Spectral Domain Decomposition.
CoRR
Peter Bastian, Robert Scheichl, Linus Seelinger, Arne Strehlow
2020 J jnl
High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites.
Comput. Phys. Commun.
Richard Butler, Tim J. Dodwell, Anne Reinarz, A. Sandhu, Robert Scheichl, Linus Seelinger
2019 — conf
A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems.
PPAM (1)
Linus Seelinger, Anne Reinarz, Robert Scheichl
2019 J jnl
A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems.
CoRR
Linus Seelinger, Anne Reinarz, Robert Scheichl