The pe Rigid Body Physics Engine

Internally funded project

Project Details

Project leader:
Prof. Dr. Ulrich Rüde

Project members:
Sebastian Eibl
Kristina Pickl
Dr.-Ing. Klaus Iglberger

Contributing FAU Organisations:
Lehrstuhl für Informatik 10 (Systemsimulation)

Acronym: PE
Start date: 01/01/2006

Abstract (technical / expert description):

This research project focuses on the development of the pe physics engine. pe is an advanced C++ framework for the simulation of rigid, completely undeformable bodies with arbitrary shape. pe offers both collision solvers for physically accurate simulations as well as fast solvers suitable for computer games. The major focus of pe are large-scale and massively parallel rigid body simulations with up to several billion interacting rigid bodies. The currently largest simulation with 28 billion non-spherical bodies was performed on the SuperMUC Petascale System at the Leibniz Supercomputing Center on 262144 processor cores.

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Eibl, S., & Rüde, U. (2018). A Local Parallel Communication Algorithm for Polydisperse Rigid Body Dynamics. Parallel Computing, 80, 36-48.
Eibl, S., & Rüde, U. (2018). A Systematic Comparison of Dynamic Load Balancing Algorithms for Massively Parallel Rigid Particle Dynamics. arXiv.
Eibl, S., Schornbaum, F., & Rüde, U. (2018). Dynamic Load Balancing for Large Scale Particle Simulations. Paper presentation at The 5th Joint International Conference on Multibody System Dynamics, Lisboa, PT.
Ostanin, I.A., Zhilyaev, P., Petrov, ., Dumitrica, T., Eibl, S., Rüde, U., & Kuzkin, V.A. (2018). Toward large scale modeling of carbon nanotube systems with the mesoscopic distinct element method. Letters on Materials, 8(3), 240-245.
Rettinger, C., Godenschwager, C., Eibl, S., Preclik, T., Schruff, T., Frings, R.M., & Rüde, U. (2017). Fully Resolved Simulations of Dune Formation in Riverbeds. In Kunkel JM, Yokota R, Balaji P, Keyes D (Eds.), High Performance Computing: 32nd International Conference, ISC High Performance 2017, Frankfurt, Germany, June 18-22, 2017, Proceedings. (pp. 3-21). Cham: Springer International Publishing.
Eibl, S., Preclik, T., & Rüde, U. (2017). JUQUEEN Extreme Scaling Workshop 2017.
Eibl, S., Preclik, T., & Rüde, U. (2017). Optimized Communication Scheme for Massively Parallel Simulations of Polydisperse Particle Systems with Large Size Ratios. Paper presentation at Particles 2017, Hannover, DE.
Eibl, S., Preclik, T., & Rüde, U. (2017). pe - Rigid Body Physics Engine. In JUQUEEN Extreme Scaling Workshop 2017 (pp. 43-47). Forschungszentrum Jülich.
Preclik, T., Eibl, S., & Rüde, U. (2017). The maximum dissipation principle in rigid-body dynamics with inelastic impacts. Computational Mechanics, 1-16.
Preclik, T., & Rüde, U. (2015). Ultrascale simulations of non-smooth granular dynamics. Computational Particle Mechanics.

Last updated on 2019-15-03 at 12:15