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. 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 with Simcenter STAR-CCM+.

GPU enabled acceleration will deliver faster turnaround times at lower hardware investment costs to such CFD simulation. Part of the Xcelerator portfolio of software and services, Simcenter™ STAR-CCM+™ 2022.1 software brings CUDA-enabled GPU acceleration to deliver faster turnaround times at lower hardware investment costs to CFD simulation within design and engineering organisations of every size.Īerodynamics CFD simulations are a key to designs more efficient mobility solutions faster while cutting development cost for wind tunnel testing.

Siemens Digital Industries Software recently announced that it has collaborated with NVIDIA to open the door to a new era of Computational Fluid Dynamics (CFD) simulation.

Siemens ccm