![]() ![]() Volume Of Fluid (VOF) simulations, while a very important method for many applications that involve free surface flows, tend to be either computationally expensive for low time steps or produce inaccurate results for too large ones. With this release, the door to a new era of CFD simulation speed-up techniques has been opened. Therefore, this will enable aerodynamics CFD engineers and alike to massively improve their simulation throughput at equivalent hardware investments with an increased per-dollar performance of GPUs compared to CPUs. On the cloud, with GPU-based computing, this equates to cost savings of even up to 70% compared to equivalent CPU-based simulations. One HGX server consisting of 8x NVIDIA A100 GPUs can replace more than 50 CPU nodes (more than 2000 CPU cores) achieving equivalent simualtion turn-around times. An estimate for identical turnaround times as CPUs would be up to 40% of the hardware cost and 10% of the power consumption when using GPUs. ![]() In addition, most standard reports, monitors, and field functions are supported.įirst vehicle aerodynamics benchmarks carried out in collaboration with NVIDIA prove that by utilizing GPUs you can significantly benefit from savings in hardware cost and power consumption. GPU-based calculations are compatible with most turbulence models, including RANS, DDES, and Reynolds Stress Models. ![]() It supports both steady and unsteady, constant density flows using the segregated solver. With its first release in 2022.1 GPU enabled acceleration is leveraging NVIDIA’s CUDA platform and the AmgX solver. Graphics Processing Unit (GPU) enabled acceleration in Simcenter STAR-CCM+ 2022.1 will let you run simulations faster than ever, at a significantly lower per-simulation cost compared to CPUs. ![]()
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