Sebastian Götschel

According to our database, Sebastian Götschel authored at least 21 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Improving Efficiency of Parallel Across the Method Spectral Deferred Corrections.

Gayatri Caklovic, Thibaut Lunet, Sebastian Götschel, Daniel Ruprecht

SIAM J. Sci. Comput., 2025

Dynamic deep learning based super-resolution for the shallow water equations.

Maximilian Witte, Fabricio Rodrigues Lapolli, Philip Freese, Sebastian Götschel, Daniel Ruprecht, Peter Korn, Christopher Kadow

Mach. Learn. Sci. Technol., 2025

Space-Time Parallel Scaling of Parareal with a Physics-Informed Fourier Neural Operator Coarse Propagator Applied to the Black-Scholes Equation.

Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht

Proceedings of the Platform for Advanced Scientific Computing Conference, 2025

2024

Spectral Deferred Correction Methods for Second-Order Problems.

Ikrom Akramov, Sebastian Götschel, Michael L. Minion, Daniel Ruprecht, Robert Speck

SIAM J. Sci. Comput., 2024

Resilience Against Soft Faults through Adaptivity in Spectral Deferred Correction.

Thomas Baumann, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Robert Speck

CoRR, 2024

Bathymetry reconstruction from experimental data using PDE-constrained optimisation.

Judith Angel, Jörn Behrens, Sebastian Götschel, Marten Hollm, Daniel Ruprecht, Robert Seifried

CoRR, 2024

Space-time parallel scaling of Parareal with a Fourier Neural Operator as coarse propagator.

Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht

CoRR, 2024

Parallel performance of shared memory parallel spectral deferred corrections.

Philip Freese, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Martin Schreiber

CoRR, 2024

Adaptive time step selection for Spectral Deferred Corrections.

Thomas Baumann, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Robert Speck

CoRR, 2024

2023

Parareal with a Physics-Informed Neural Network as Coarse Propagator.

Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht

Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

2022

Dynamic Contrast-Enhanced Ultrasound Modeling of an Analog to Pseudo-Diffusivity in Intravoxel Incoherent Motion Magnetic Resonance Imaging.

Dimitre Hristov, Lauri Mustonen, Rie von Eyben, Sebastian Götschel, Michael L. Minion, Ahmed El Kaffas

IEEE Trans. Medical Imaging, 2022

2021

Impact of spatial coarsening on Parareal convergence.

Judith Angel, Sebastian Götschel, Daniel Ruprecht

CoRR, 2021

Twelve Ways To Fool The Masses When Giving Parallel-In-Time Results.

Sebastian Götschel, Michael L. Minion, Daniel Ruprecht, Robert Speck

CoRR, 2021

Kaskade 7 - A flexible finite element toolbox.

Sebastian Götschel, Anton Schiela, Martin Weiser

Comput. Math. Appl., 2021

2019

An Efficient Parallel-in-Time Method for Optimization with Parabolic PDEs.

Sebastian Götschel, Michael L. Minion

SIAM J. Sci. Comput., 2019

Lossy Compression for Large Scale PDE Problems.

Sebastian Götschel, Martin Weiser

CoRR, 2019

Compression Challenges in Large Scale Partial Differential Equation Solvers.

Sebastian Götschel, Martin Weiser

Algorithms, 2019

2018

Lossy data compression reduces communication time in hybrid time-parallel integrators.

Lisa Fischer, Sebastian Götschel, Martin Weiser

Comput. Vis. Sci., 2018

2015

Lossy compression for PDE-constrained optimization: adaptive error control.

Sebastian Götschel, Martin Weiser

Comput. Optim. Appl., 2015

2014

Lossy Compression in Optimal Control of Cardiac Defibrillation.

Sebastian Götschel, Chamakuri Nagaiah, Karl Kunisch, Martin Weiser

J. Sci. Comput., 2014

2012

State Trajectory Compression for Optimal Control with Parabolic PDEs.

Martin Weiser, Sebastian Götschel

SIAM J. Sci. Comput., 2012