Leveraging Nvidia GPU architecture, Star-CCM+ users can now run more simulations, faster, and can gain critical insights for their design and operation workflows without compromising on accuracy. Niveditha Krishnamoorthy, developer relations manager, Nvidia, said, “Siemens Simcenter Star-CCM+ is giving an incredible boost to CFD simulations by using Nvidia GPU technology via the CUDA platform and accelerated libraries. While CPU-based high-performance computing in conjunction with highly scalable CFD parallelization greatly speeds up the absolute times it can take to reach a solution, it comes at the cost of high hardware or cloud computing investments. Running a set of industrial-grade external vehicle aerodynamics simulations, the engineers at Siemens and Nvidia were able to demonstrate how usage of GPUs could reduce required hardware compute investments by up to 40% and the power consumption down to 10% of the CPU equivalent, while maintaining identical simulation turnaround times. to massively improve their simulation throughput at equivalent hardware investments with an increased per-dollar performance of GPUs compared to CPUs.” “This technology will enable engineers working on external aerodynamics, aerospace, building and infrastructure/civil engineering applications, etc. 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+. The proFPGA Product Family fulfills highest requirements in the areas of FPGA-Boards and FPGA based Prototyping. ![]() The Simcenter Star-CCM+ 2022.1 software now brings Nvidia CUDA-enabled GPU acceleration to enable faster turnaround times at lower hardware investment costs – to developers of all types and sizes. According to Siemens Digital Industries Software it has opened the door to a new dawn of computational fluid dynamics (CFD) simulation through a tie-up with Nvidia.
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