Fabio Alexander Gratl

According to our database, Fabio Alexander Gratl authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

Efficient Polyhedral Gravity Modeling in Modern C++ and Python.

Jonas Schuhmacher, Emmanuel Blazquez, Fabio Alexander Gratl, Dario Izzo, Pablo Gómez

J. Open Source Softw., 2024

2023

Towards auto-tuning Multi-Site Molecular Dynamics simulations with AutoPas.

Samuel James Newcome, Fabio Alexander Gratl, Philipp Neumann, Hans-Joachim Bungartz

J. Comput. Appl. Math., December, 2023

Investigation of the Robustness of Neural Density Fields.

Jonas Schuhmacher, Fabio Alexander Gratl, Dario Izzo, Pablo Gómez

CoRR, 2023

2022

N ways to simulate short-range particle systems: Automated algorithm selection with the node-level library AutoPas.

Fabio Alexander Gratl, Steffen Seckler, Hans-Joachim Bungartz, Philipp Neumann

Comput. Phys. Commun., 2022

2021

AutoPas in ls1 mardyn: Massively parallel particle simulations with node-level auto-tuning.

Steffen Seckler, Fabio Alexander Gratl, Matthias Heinen, Jadran Vrabec, Hans-Joachim Bungartz, Philipp Neumann

J. Comput. Sci., 2021

2019

TweTriS: Twenty trillion-atom simulation.

Nikola Tchipev, Steffen Seckler, Matthias Heinen, Jadran Vrabec, Fabio Alexander Gratl, Martin Horsch, Martin Bernreuther, Colin W. Glass, Christoph Niethammer, Nicolay Hammer, Bernd Krischok, Michael Resch, Dieter Kranzlmüller, Hans Hasse, Hans-Joachim Bungartz, Philipp Neumann

Int. J. High Perform. Comput. Appl., 2019

AutoPas: Auto-Tuning for Particle Simulations.

Fabio Alexander Gratl, Steffen Seckler, Nikola Tchipev, Hans-Joachim Bungartz, Philipp Neumann

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019