Note: This article originally appeared on samagame.com, click here to read the original piece.
Running a 40 billion cell simulation of the iconic Concorde supersonic plane is no small feat, but with the power of 32 AMD GPUs and just 33 hours, Dr. Moritz Lehmann accomplished this remarkable task. This impressive Computational Fluid Dynamics (CFD) simulation, performed on the GigaIO SuperNODE server, showcases the incredible potential of GPU technology and its applications in aviation.
The GigaIO SuperNODE and Its GPU Configurations
The GigaIO SuperNODE server comes in various configurations, each offering immense computational power. Dr. Lehmann’s project utilized a specific design containing 32 AMD Instinct MI210 64GB GPUs. These GPUs proved to be exceptionally powerful for the task at hand.
Fast and Beautiful Results
The results of the Concorde-focused FluidX3D simulation were nothing short of breathtaking. The simulation completed in just 33 hours, which included 29 hours for 67k timesteps at 2976×8936×1489 (12.4mm)³ cells and an additional 4 hours for rendering 5×600 4K frames. To put it simply, this complex simulation consisting of 40 billion cells demonstrated extraordinary performance and far surpassed conventional flight simulations.
A Marvel of Efficiency
The most remarkable aspect of this simulation was the ability to complete it over a single weekend. Compared to commercial CFD, which would have required years to achieve similar results, the speed and efficiency of the GigaIO SuperNODE and AMD GPUs are truly astounding.
The Role of OpenCL (Open Computing Language)
Thanks to OpenCL, specifically Open Computing Language, the ProjectPhysX team had an easier time with the FluidX3D simulation. They experienced seamless 32-GPU scaling without any code modifications on their part. This support allowed them to focus on the simulation itself, making the entire process more straightforward.
Testing the “Newly Implemented Free-Slip Boundaries”
The primary objective of this simulation was to evaluate the performance of the “newly implemented free-slip boundaries.” These boundaries were designed to improve the model’s accuracy compared to traditional “no-slip boundaries.” In simple terms, “no-slip boundaries” enforce fluid velocity at the wall to match the wall velocity, causing more friction. On the other hand, “free-slip boundaries” allow fluid to glide along the wall without friction, resulting in a more accurate simulation.
Implications for the Future of Aviation
Overall, the successful completion of this simulation using the GigaIO SuperNODE has exciting implications for the aviation industry. By improving our ability to simulate and understand complex aerodynamic phenomena, we can reduce the need for risky real-world experiments. The advancements showcased in this project are undoubtedly propelling aviation research and development into new and exciting territories.
In conclusion, the convergence of cutting-edge GPU technology, such as the AMD Instinct MI210 64GB GPUs, with powerful servers like the GigaIO SuperNODE, has opened up new horizons for computational simulations in various industries. Dr. Moritz Lehmann’s impressive work with the Concorde simulation stands as a testament to the power of modern GPU-driven computational fluid dynamics and its potential for transformative research in aviation and beyond.
View source version on samagame.com: https://samagame.com/en/news/simulating-the-concorde-supersonic-plane-a-gpu-powered-marvel//