Contact
One of our experts will contact you as soon as possible to discuss your needs and organize a tailor-made demo of the platform.
Qarnot's HPC cloud platform is an exceptional match for maximizing simulation efficiency using Star-CCM+'s unique architecture and resource requirements thanks to:
License costs represent the majority of your expenses. By significantly accelerating your computations, using Qarnot HPC clusters, you get the most out of every license hour and you therefore boost ROI on your software investment.
Our flexible infrastructure adapts to your changing project requirements. Scale computing resources instantly from a few cores to thousands with our cost-effective pay-per-use pricing model.
Star-CCM+'s integrated environment shines when paired with Qarnot's remote visualization technology, enabling engineers to interact with their simulations in real-time without transferring massive datasets between systems.
License costs represent the majority of your expenses. By significantly accelerating your computations, using Qarnot HPC clusters, you get the most out of every license hour and you therefore boost ROI on your software investment.
Our flexible infrastructure adapts to your changing project requirements. Scale computing resources instantly from a few cores to thousands with our cost-effective pay-per-use pricing model.
Star-CCM+'s integrated environment shines when paired with Qarnot's remote visualization technology, enabling engineers to interact with their simulations in real-time without transferring massive datasets between systems.
Star-CCM+ offers scalability across multiple processors, which is critical for performing speed-up tests and optimising simulation times in high-performance computing (HPC) environments.
We use 40 pre iterations as warm up and 20 iterations on which we measure performance
The LeMans104 case is a well-known automotive CFD problem, simulating the aerodynamic behaviour of the Le Mans prototype race car. In these tests the case is set up using a 104 million cells mesh. This is the most complex Lemans benchmark but less compute intensive case exists with 9 million or 17 million cells mesh.
Results are based on the Star-CCM+ integrated benchmark report. The speedup values using this configuration are excellent. The performance scales well as the number of workers increases. The speedup improves with more workers, and the parallel efficiency exceeds 100% for all worker counts, indicating that the simulation benefits significantly from parallelization. For example, at 1,880 workers, the speedup is 2,146.8, far exceeding linear scale up of 1,880.
Get the Benchmark
