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December 20, 2019 at 6:54 amAndyHorSubscriber
Hi,
Â
I am using Workbench R3 Fluent to run a transient problem, my computer is i5 with 4 processors, and 1 graphic card Nvidia GTX1080 TI,
but when I run the calculation in fluent, it used 4 processors only, but not using GPU, how can IÂ make Fluent to make use of using this GPU to run ?
Â
I have tried the method from /forum/forums/topic/using-gpu-in-fluent/
but it could not even run and auto shut down fluent.
Â
Please help. Thank you !
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December 20, 2019 at 9:20 amRobForum Moderator
There's two parts to this. First, you'd need an extra parallel licence, which with Student & Teaching packs you don't have: you'd need to pay for an additional pack (and possibly the main solver too). Secondly, GPU only gives you acceleration in specific models and (I think) some of the multigrid maths.Â
Finally, with the Student & Teaching node limits, and 4 cores you're hitting 112k cells per core: more parallel will help with speed but another 4 cores will only half the iteration time.Â
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December 20, 2019 at 10:01 amAndyHorSubscriber
My uni lab is using [ANSYS Academic Teaching Introductory] version, do this have extra parallel licence ?Â
Â
How much around will the licence cost ?Â
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December 20, 2019 at 10:34 amRobForum Moderator
You're limited to 4 cores with Teaching and 512k cells. I'd forget using GPU for now. Â
If you need a lot more cells/speed then talk to your supervisor about Research licences: that removes the cell cap and gives access to the HPC packs. If your University doesn't have these we can discuss further.Â
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December 21, 2019 at 5:10 amAndyHorSubscriber
We dont have the much fund to support for a research licences.Â
So, can you teach me on way using the GPU plus core ?
Â
Thank you
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December 21, 2019 at 7:26 pmpeteroznewmanSubscriber
You can't use a GPU on a Teaching license.
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January 8, 2020 at 9:09 am
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January 8, 2020 at 11:53 amRobForum Moderator
With a Research Key and HPC pack you should be able to turn on gpu. However gpu only speeds up certain parts of the calculation (S2S cluster calculation is the one I tend to remember). Without the HPC you may be able to run 3 parallel & 1 gpu: the 4th cpu core will probably be quicker than using the gpu.Â
In terms of speeding up the calculation the obvious one is a bigger computer. However, using a good quality mesh and well posed problem can also speed up the process as each time step will solve more quickly.Â
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May 4, 2020 at 5:29 pmStePiz2019SAESubscriber
HI, i have a research license [ANSYS Academic Research Mechanical and CFD] and a personal workstation with Intel i9 10980XE (18 cores - 36 threads ) 3.00GHz to boost 4.60GHZ and PNY Quadro P4000 - 8GB.Â
Using only physical core (not threads), what clock frequency does the solver use?Â
The license can permitted to me to use 16 core in parallel, it's true? Can I use acceleration GPGPU? I use ANSYS for an external aerodynamics problems. On the platform says that the gpu in question allows it to be used on fluent. Can I use all the various fluent situations? isn't it limited to just a few things?
Can I setup fluent launcher with 16 core and 1 gpu?Â
Thank you.
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May 5, 2020 at 11:00 amRobForum Moderator
You may be able to use a gpu with the Research licence, drop the number of cpu to 15 and try it with one gpu. The solver will run the cpu at whatever speed the system will let it: remember data traffic, RAM, monitors etc will also influence the apparent speed.Â
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May 5, 2020 at 3:21 pmStePiz2019SAESubscriberWhat do you mean for monitors? Do you mean the setup on fluent?
I have one license research academic on my personal workstation as license server and I can use the license even if I'm offline, what does data traffic have to do with it? -
June 27, 2023 at 12:59 pmBenjamin PericSubscriber
I have the Research licence and the following System:
GPU: NVIDIA RTX 3090 Ti
CPU:Â AMD Ryzen 9 900X 12 Core)
I choosed for the Solcer Processes 12 and I enabled the Solver GPGPU per Machine to 1.
Even within Ansys Fluent the GPU is activated, since it is shown with the (*) symbol.
 CUDA runtime version 6000
 Driver version 12020
 Number of GPUs 1
  0. NVIDIA GeForce RTX 3090 Ti (*)
    84 SMs
    1.86 GHz
    25.7567 GBytes
During the computation however, only the CPU is used at 100% and the GPU not (only 1%).
What can i do, too enable the GPU?? -
November 29, 2023 at 11:00 amSteve HoldingSubscriber
Â
Hello Benjamin
I don’t know why this has not been answered in months, and you probably know by now, but the student version is sensitive to the number of streaming multiprocessors (SM).
There is a limit of <=40, and your card has 84, so you can’t activate it.
Â
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- The topic ‘How to use GPU to run fluent’ is closed to new replies.
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