With GPU-enabled technology, users can achieve faster turnaround time of CFD simulations at significantly lower per-simulation cost,” said Stamatina Petropoulou, technical product management, Siemens Digital Industries Software. “Siemens and Nvidia are opening the door to a whole new era of CFD simulation acceleration techniques in Simcenter STAR-CCM+. Compute-optimised CPU instance: dual-socket Intel Xeon Gold (40 cores per node) Comparison of GPU- and CPU-based equivalent simulations: GPU run time and number of CPU cores required to reach almost identical turn-around times for the same vehicle aerodynamics CFD on GPUs and CPUs. Siemens’ engineers have run a set of external vehicle aerodynamics simulations, which it claims that by using the Nvidia GPUs could reduce required hardware compute investments by “up to 40%” and power consumption “down to 10% of the CPU equivalent”, while maintaining identical simulation turnaround times. In turn they describe the GPU technology as a “game changer”.
The partnership explained that while CPU-based high-performance computing in conjunction with highly scalable CFD parallelisation allows for massive speed-ups in absolute times to solution, it comes at the cost of high hardware or cloud computing investments.
Siemens says that the move will bring faster turnaround times for CFD simulation on is Xcelerator platform while at the same time lowering hardware investment costs for within design and engineering organisations of every size. It includes single and multiple GPU support on Linux operating systems.
Siemens Digital Industries Software has been busy collaborating with Nvidia in order to add CUDA-enabled GPU acceleration to its Simcenter STAR-CCM+ 2022.1 software release.
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