This is as much a story of cloud computing in CFD as it’s about selling a house.
If you have ever sold a house, you know about the need to use resources wisely. My family and I just decided to move out to the countryside and we are learning the lesson all over again. Realizing the perfect time to sell our current house is NOW, suddenly we must paint here and there, clean floors, add a missing windowsill, remove weeds… Right now, there’s a list of 40+ items to do! In the coming week! Panic! I need to parallelize the tasks: Lazy teenager – paint the garage doors! Kid #2 remove weeds! Dear friends, please come and help us on Saturday, we will pay you back! Having 6-8 people working at the same time will speed things up significantly.
As a Product Manager, I see this situation often in the world of engineering and product design. The next-generation design must be defined in a week! Panic! To take the right engineering decisions, you need computational fluid dynamics (CFD) simulation results in hours!
In 2020, that just means you need cloud computing for your CFD. By utilizing massive parallelization, you can achieve this without compromising accuracy. By running your simulations on the cloud, you can scale up very quickly, just when you need it, and flexible licensing schemes make the process affordable too. Luckily, Simcenter STAR-CCM+ provides you with all this, enabling you to effectively cut downtime to results.
Just ask TLG Aerospace who saved 75% of their CFD cost by switching to Simcenter STAR-CCM+ to generate aerodynamic databases for aircraft certification. By running simulations remotely on Amazon Web Services, they get the compute resources they need when they need them, and through flexible licensing they only pay for what they need, enabling them to freely swap between last-minute panic and calmer times.