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GPU acceleration in Ansys Fluent

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Old   August 27, 2018, 11:05
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Not only that, the solution process will probably break off, because of an error.


http://www.cadfem.de/fileadmin/CADFE...CADFEM_GPU.pdf
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Old   August 27, 2018, 11:14
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Can i use a Quadro K6000 plus a Tesla K80? Will they work together?
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Old   August 27, 2018, 11:32
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Flow Setup:
as OP

Software/Hardware:
Operating system: CentOS Linux 7
Fluent version: Ansys Fluent 19.1
CPU: Dual Xeon Gold 6150, HT disabled
Memory: 192 GB DDR4-2666 ECC (12 dimm x 16 GB)
GPU: 4 x V100-32GB NVLINK

Did only Second Precision.

32-core
Simple None-GPU: 4.1 s
Simple 1-GPU: 4.1 s
Simple 4-GPU: 4.1 s
Coupled None-GPU: 13.2 s
Coupled 1-GPU: 28.1 s
Coupled 2-GPU: 24.2 s
Coupled 4-GPU: 22.2 s

4-core
Simple None-GPU: 22.6 s
Coupled None-GPU: 67.5 s
Coupled 1-GPU: 48.4 s
Coupled 2-GPU: 44.7 s
Coupled 4-GPU: 42.1 s

1-core
Simple None-GPU: 89.0 s
Coupled None-GPU: 273.5 s
Coupled 1-GPU: 132.1 s
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Old   August 27, 2018, 12:16
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Great, finally some decent hardware. Would you mind running a larger case (coupled+DP would be enough)? I only chose such a small one due to the lack of VRAM on the GPUs I had available at the time. Would be interesting to see if you can get some GPU scaling going while running 32 CPU cores.
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Old   August 27, 2018, 13:13
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Quote:
Originally Posted by Echidna View Post
Can i use a Quadro K6000 plus a Tesla K80? Will they work together?



12 vs 24 GB, i dont know, try it
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Old   August 29, 2018, 11:58
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Flow Setup:
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excepted mesh is 215 x 215 x 215 (10M cells)

Software/Hardware:
Operating system: CentOS Linux 7
Fluent version: Ansys Fluent 19.1
CPU: Dual Xeon Gold 6150, HT disabled
Memory: 192 GB DDR4-2666 ECC (12 dimm x 16 GB)
GPU: 4 x V100-32GB NVLINK

Did only Second Precision.

32-core
Coupled None-GPU: 577 s
Coupled 1-GPU: Failed, apparently out of memory
Coupled 2-GPU: 541 s
Coupled 4-GPU: 394 s
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Old   April 12, 2019, 18:02
Default I am using TITAN V and I Cannot load this GPU with my simulation
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Quote:
Originally Posted by KEDELLE View Post
Did u use Titan V or Titan X?
I bough a Titan V. I did not know that this card does not work with ansys fluent. Someone ask you about how to resolve this problem? Is it possible load this GPU with a simulation? I followed every step to activating GPU, but it does not work. Help me pleased.
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Old   April 12, 2019, 19:15
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Seems like this topic comes around again every now and then...
If the solver you are using is not utilizing the GPU despite it being activated in the Fluent launcher, then you won't see much benefit from the GPU anyway.
You could force Fluent to use the GPU with some TUI commands, but again, expect to see no improvement or even worse performance with a GPU enabled in these cases. https://www.sharcnet.ca/Software/Ans...-EC933A7E.html
Or maybe Ansys decided to use a whitelist for GPUs in Fluent just like they did with some of their other software. It's been a while since I last used it.
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Old   June 1, 2020, 16:33
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Originally Posted by flotus1 View Post
If you feel that any specific aspect is missing or conclusions drawn are flawed I would recommend addressing it directly.
I will gladly re-run or add a few benchmarks with Tesla V100. Contact me through PN if you want to send over a few samples
Hi

I'm very eager to see the result of your tests with Tesla V100. Before reading your posts, I was going to combine Threadripper 3970x with Quadro RTX 4000, but now that GPU acceleration is not as effective/justifiable as advertised, what alternative do you suggest for Quadro RTX 4000?
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Old   June 1, 2020, 17:59
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It should come as no surprise that I never got any samples. I was not really expecting that.

I don't have any alternative in the price range of an Quadro RTX 4000 card. Well Nvidia doesn't, but that is splitting hairs. GPU acceleration with Ansys products is for people with a virtually unlimited hardware budget, due to the fact that software, engineers and development time are so much more expensive than a workstation. My advice to everyone else is to focus on CPU performance first.
If you really want to do GPU acceleration on a budget, try used Quadro K6000 cards. They can be found for around 300-400$. That is of course if you want to do double precision. With single precision, any semi-recent CUDA capable card should do. The consumer cards offer much better value than the Quadro and Tesla lineup here.
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Old   June 2, 2020, 00:38
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Thanks for the quick response, it was a relief after days of research

Best
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Old   June 2, 2020, 01:34
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Also, this article, using Openfoam, can help us understand that an investment in CPU is much more reliable compared to an investment in GPGPU, at least when it comes to cfd.


Multi GPU Implementation to Accelerate
the CFD Simulation of a 3D Turbo-Machinery
Benchmark Using the RapidCFD Library

https://link.springer.com/chapter/10...030-38043-4_15
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