Full acceleration on GPU vs. partial
Our previous posts with acceleration of linear part of the flow solver were not promising. The conclusion is that partial acceleration is not the way to go.
This is the reason why we focused on implementing the RANS single-phase flow solver directly on GPU. The results are quite promising: Motorbike, 6.5M cells, aero flow: simpleFoam: CPU: 9188 sec. GPU: 2914 sec. Acceleration: 3.1x. See this link for more results. |
Lukasz,
This looks promising, but until you support LES/DES and multi-gpu on multiple computers, there are very few people that can make use of it. There aren't a whole lot of people running 7 million cell RANS simulations anymore. |
Thanks Kyle for your honest opinion.
We are already working on multi-GPU. Which following LES/DES models do you think would be attractive for the community? Quote:
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Personally I use IDDES for automotive external aerodynamics simulations, which I think is pretty common.
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