Peter Vincent of the Department of Aeronautics at Imperial College London shares how they are using NVIDIA Tesla GPUs to accelerate Computational Fluid Dynamics simulations that will improve the design processes used by companies that design aircrafts or Formula One race cars.
Learn more about PyFR, the open-source CFD package developed by Vincent’s lab, that employs new super-accurate methods known as Flux Reconstruction schemes to tackle some of the world’s most challenging fluid flow problems.
Share your GPU-accelerated science with us: http://nvda.ly/Vpjxr
Watch more scientists and researchers share how GPUs are accelerating their work at http://nvda.ly/UOan1
Share Your Science: Next-Generation Computational Fluid Dynamics Technology
Mar 18, 2016
Discuss (0)
Related resources
- GTC session: Revolutionizing Industrial Fluid Dynamics with Advanced Deep Learning Techniques
- GTC session: A Fully-Differentiable Lattice-Boltzmann Solver for Integrated Machine-Learning Simulation Workflows
- GTC session: Strategies for the GPU Implementation of the OVERFLOW CFD Code
- Webinar: Accelerate High-Fidelity Computational Fluid Dynamics with GPUs
- Webinar: Advanced CFD Workflows for Architectural Designs With SimScale and NVIDIA Omniverse
- Webinar: Accelerating Plastic Recycling using Virtual Reactor Technology
About the Authors
