Frédéric Simonis

According to our database, Frédéric Simonis authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

ASTE: An artificial solver testing environment for partitioned coupling with preCICE.

David Schneider, Muhammed Kürsat Yurt, Frédéric Simonis, Benjamin Uekermann

J. Open Source Softw., December, 2024

2021

preCICE Distribution Version v2104.0.

Gerasimos Chourdakis, Kyle Davis, Benjamin Rodenberg, Miriam Schulte, Frédéric Simonis, Benjamin Uekermann, Georg Abrams, Hans-Joachim Bungartz, Lucia Cheung Yau, Ishaan Desai, Konrad Eder, Richard Hertrich, Florian Lindner, Alexander Rusch, Dmytro Sashko, David Schneider, Amin Totounferoush, Dominik Volland, Peter Vollmer, Oguz Ziya Koseomur

Dataset, October, 2021

preCICE Distribution Version v2104.0.

Gerasimos Chourdakis, Kyle Davis, Benjamin Rodenberg, Miriam Schulte, Frédéric Simonis, Benjamin Uekermann, Georg Abrams, Hans-Joachim Bungartz, Lucia Cheung Yau, Ishaan Desai, Konrad Eder, Richard Hertrich, Florian Lindner, Alexander Rusch, Dmytro Sashko, David Schneider, Amin Totounferoush, Dominik Volland, Peter Vollmer, Oguz Ziya Koseomur

Dataset, September, 2021

preCICE v2: A Sustainable and User-Friendly Coupling Library.

Gerasimos Chourdakis, Kyle Davis, Benjamin Rodenberg, Miriam Schulte, Frédéric Simonis, Benjamin Uekermann, Georg Abrams, Hans-Joachim Bungartz, Lucia Cheung Yau, Ishaan Desai, Konrad Eder, Richard Hertrich, Florian Lindner, Alexander Rusch, Dmytro Sashko, David Schneider, Amin Totounferoush, Dominik Volland, Peter Vollmer, Oguz Ziya Koseomur

CoRR, 2021

Efficient and Scalable Initialization of Partitioned Coupled Simulations with preCICE.

Amin Totounferoush, Frédéric Simonis, Benjamin Uekermann, Miriam Schulte

Algorithms, 2021

2020

ExaFSA: Parallel Fluid-Structure-Acoustic Simulation.

Florian Lindner, Amin Totounferoush, Miriam Mehl, Benjamin Uekermann, Neda Ebrahimi Pour, Verena Krupp, Sabine Roller, Thorsten Reimann, Dörte C. Sternel, Ryusuke Egawa, Hiroyuki Takizawa, Frédéric Simonis

Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020

2019

In-Database Machine Learning: Gradient Descent and Tensor Algebra for Main Memory Database Systems.

Maximilian E. Schüle, Frédéric Simonis, Thomas Heyenbrock, Alfons Kemper, Stephan Günnemann, Thomas Neumann

Proceedings of the Datenbanksysteme für Business, 2019