Richard Pausch

According to our database, Richard Pausch authored at least 10 papers between 2013 and 2024.

Collaborative distances:

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

2024

Streaming Data in HPC Workflows Using ADIOS.

Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran

CoRR, 2024

2023

EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations.

Klaus Steiniger, René Widera, Sergey I. Bastrakov, Michael Bussmann, Sunita Chandrasekaran, Benjamín Hernández, Kristina Holsapple, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, Richard Pausch, David M. Rogers, Ulrich Schramm, Jeffrey Young, Alexander Debus

Comput. Phys. Commun., October, 2023

Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows.

Anna Willmann, Jurjen Couperus Cabadag, Yen-Yu Chang, Richard Pausch, Amin Ghaith, Alexander Debus, Arie Irman, Michael Bussmann, Ulrich Schramm, Nico Hoffmann

CoRR, 2023

Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations.

Felix Meyer, Benjamín Hernández, Richard Pausch, René Widera, David Groß, Sergei I. Bastrakov, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, David M. Rogers, Ulrich Schramm, Klaus Steiniger, Stefan Gumhold, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Alexander Debus

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

2022

Continual learning autoencoder training for a particle-in-cell simulation via streaming.

Patrick Stiller, Varun Makdani, Franz Pöschel, Richard Pausch, Alexander Debus, Michael Bussmann, Nico Hoffmann

CoRR, 2022

2021

Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks.

Friedrich Bethke, Richard Pausch, Patrick Stiller, Alexander Debus, Michael Bussmann, Nico Hoffmann

CoRR, 2021

Data-Driven Shadowgraph Simulation of a 3D Object.

Anna Willmann, Patrick Stiller, Alexander Debus, Arie Irman, Richard Pausch, Yen-Yu Chang, Michael Bussmann, Nico Hoffmann

CoRR, 2021

Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-Based Offloading.

Jeffrey Kelling, Sergey I. Bastrakov, Alexander Debus, Thomas Kluge, Matt Leinhauser, Richard Pausch, Klaus Steiniger, Jan Stephan, René Widera, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Guido Juckeland

Proceedings of the Accelerator Programming Using Directives - 8th International Workshop, 2021

2020

Large-Scale Neural Solvers for Partial Differential Equations.

Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2013

Radiative signatures of the relativistic Kelvin-Helmholtz instability.

Michael Bussmann, Heiko Burau, Thomas E. Cowan, Alexander Debus, Axel Huebl, Guido Juckeland, Thomas Kluge, Wolfgang E. Nagel, Richard Pausch, Felix Schmitt, Ulrich Schramm, Joseph Schuchart, René Widera

Proceedings of the International Conference for High Performance Computing, 2013