Welcome to the new CFD Performance Dimension of
Fast and Resilent
Utilizing GPUs (Graphics Processing Unit), pacefish® achieves much higher performance compared to CPUs (Central Processing Unit, Universal Processor) massively reducing the costs of a physical fluid flow simulation.
Using other CFD tools the user has to choose between short turn-around times and reliable simulation results. By drastically reducing the cost per simulation, pacefish® users get both:
Short turnaround time for transient fluid flow simulations and resilent physical simulation results.
Transient Lattice-Boltzmann Simulation
In order to determine the fluid flow behavior, pacefish® applies the Lattice-Boltzmann Method (LBM).
Transient modeling considers time-dependent effects like Vortex streets, dynamic vortex shedding as well as pressure and velocity fluctuations.
Geometry-Adapted Local Grid Refinement
Due to local grid refinement simulation cells are used where needed, e.g. in the near-wall or in the wake region.
Based on the object geometry the integrated preprocessor automatically generates areas of local grid refinement.
Physical Turbulence Modeling
In addition to the Smagorinsky LES model, pacefish® offers hybrid uRANS-LES (SST-DDES and SST-IDDES) as well as uRANS (K-Omega-SST) turbulence models.
By the particularly accurate modeling of the turbulent boundary layer the latter models achieve significantly more reliable predictions.
Robust Geometry Import
The integrated robust pre-processor imports complex geometries stored in the widely used STL data format tolerating minor defects.
Usually, preceding geometry cleanup is not required anymore.
Flexible Result Data Export
The result data is typically exported using the EnSight Gold and the CSV data formats enabling further processing using numerous tools like ParaView or Excel.
For further performance increase pacefish® uses up to 16 GPUs operating at almost ideal scaling.
This allows simulations beyond 1 billion cells. Models consisting of more than 100 million cells achieve turnaround times of just a few hours.
The pacefish® Technology
Efficient use of modern graphics processors (GPUs) enables the exceptional pacefish® performance. GPUs are massive parallel processors consisting of more than 5000 cores, natively used for graphics rendering. GPUs have limited capabilities, but can handle information much faster than CPUs.
The GPU hardware architecture induces special software development challenges. With the very first source code line this requirements were taken into account such that pacefish® effectively exploits the benefits of the GPU architecture and neutralizes its limitations.
By using one single GPU pacefish® performance is already 20 times faster in comparison to a multi-core CPU. Utilizing up to 16 GPUs in parallel, pacefish® achieves impressive performance at almost ideal scaling.
Resilent forecast accuracy is the reward for intensive research, development and testing, in particular of wall and turbulence modeling for LBMs. Our proprietary know-how built up in over ten years overcomes important elementary weaknesses of the LBM and allows pacefish® to simulate models of industrial complexity.
Analyzing and optimizing the complex aerodynamics of vehicles.
Analyzing the transient wind behaviour in urban canyons on changes in building design and placement.
Determining and optimizing dynamic wind loads on the facade and structure of a building.