Fidelity Charles Solver
The Fidelity Charles Solver is the industry’s first high-fidelity computational fluid dynamics (CFD) solver that expands the practical application of large eddy simulations (LES) to a broad range of engineering applications. Designed to tackle the toughest fluid dynamics challenges, it accurately predicts traditionally complex problems in CFD for aeroacoustics, aerodynamics, combustion, heat transfer, and multiphase. The Fidelity Charles Solver introduces a paradigm shift to the industry with the ability to leverage both computer processing units (CPUs) and graphical processing units (GPUs), reducing the turnaround time for LES simulations from days to hours. The solver has been optimized to consume as little memory as possible and scales linearly to hundreds of GPUs across dozens of nodes.
Fidelity Charles Solver
The Fidelity Charles Solver is the industry’s first high-fidelity computational fluid dynamics (CFD) solver that expands the practical application of large eddy simulations (LES) to a broad range of engineering applications. Designed to tackle the toughest fluid dynamics challenges, it accurately predicts traditionally complex problems in CFD for aeroacoustics, aerodynamics, combustion, heat transfer, and multiphase. The Fidelity Charles Solver introduces a paradigm shift to the industry with the ability to leverage both computer processing units (CPUs) and graphical processing units (GPUs), reducing the turnaround time for LES simulations from days to hours. The solver has been optimized to consume as little memory as possible and scales linearly to hundreds of GPUs across dozens of nodes.
Fidelity Charles Solver features
Voronoi Meshing
Fast, scalable, and robust mesh generation for complex geometries
LES Solver
Advanced numerical methods and extreme scalability for accurate LES
GPU Acceleration
Solver advancements leveraging GPU computing for massive LES simulations
High-Speed Simulations
Accurate simulation of complex scenarios in hours, not days
Analysis Tools
Robust post-processing capabilities for large datasets
Dimensional Reduction
Efficient tools to handle and analyze high-fidelity, time-dependent data
Acoustic Predictions
Efficient implementation of Ffowcs Williams-Hawkings formulation for far-field acoustics
Quantitative Imaging
Enriches PNGs with custom metadata for rapid computation and data analysis
Modal Decomposition
Various methods for both image and full-field data
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