Research Projects
- Dynamic Cross-Flow Filtration
- Sedimentation of arbitrary shaped particles
- A Lattice Boltzmann Method for Light and Algae Simulations in Photobioreactors
- Insulation optimization for an innovative cooling system for commercial vehicles
- Particulate flows with high disperse phase fraction
- Fundamental investigation of particle-layer rearrangement in ceramic wall flow filters by resolved particle simulations
- Potential for damage to fruits
- Modelling and Simulation of Multidimensional Fractionation in Fine Particle Systems and their Application
- Bridging the Gap – Mathematical Optimization Methods and Efficient Algorithms for Process Engineering Problems
- OpenLB – An Open Source High Performance Lattice Boltzmann Code for Heterogeneous CPU-GPU Clusters
- Virtual Collaboration Laboratories
OpenLB – An Open Source High Performance Lattice Boltzmann Code for Heterogeneous CPU-GPU Clusters
The principal goal of the project is to enable the utilization of arbitrary heterogenous target hardware in the existing OpenLB software framework. Specifically, we aim to support execution on GPGPUs and SIMD CPUs.
Secondary goals include the further development of OpenLB’s architecture in order to incorporate support for adaptive time and spatial refinement as a model-based performance optimization. Further work is planned to enable usage of OpenLB as a general toolkit for solving PDEs.
All of these goals are approached in a sustainable fashion, ensuring the continued reproducibility and reliability of OpenLB as one of the major open source LBM codes.
Funding: NHR@KIT
Begin: October 2021