Poor GPU memory usage and inadequate fidelity

- December 14, 2019 at 12:44 pm
  
  ahobbs
  Subscriber
  
  Hi,
  
  I have a GP100 with 16GB of RAM. When running fluids at max fidelity the memory usage is less than 8GB. GPU load is 85% but I'm not able to resolve key features in the model (thin baffles). In this particular model the min feature size is 10mm but I have baffles around 4mm. This is a significant limitation. Is there way to increase resolution and use more of the GPU memory?
  
  I've reduced the size of the domain as much as I can.
- December 16, 2019 at 6:24 am
  
  Subashni Ravichandran
  Ansys Employee
  
  Hello Andrew Hobbs
  
  There is a certain cap on the percentage of GPU used in Discovery Live.
  
  I would recommend you to follow this discussion on a similar query. Here, there is a clear explanation as to why there is a cap on GPU usage.
  
  I hope this clarifies your query.
- December 16, 2019 at 7:26 am
  
  ahobbs
  Subscriber
  
  Thanks, I appreciate that, but from a user perspective 50% memory use seems overly conservative. The second related issue is that it is impossible to resolve important, thin internal geometry which are below the feature threshold. Discovery is a great product that I would like to use more but the resolution problem which is exacerbated by the memory limits mean I can only use it on very simple problems. Without some means of local refinement the applicability of Discovery is very limited.
- December 17, 2019 at 9:43 am
  
  Subashni Ravichandran
  Ansys Employee
  
  Andrew Hobbs
  
  It may not be 50% per se as in your case you can see that 85% is being used. Although, I'm not sure if there is a specific percentage as such or if it is randomly determined.
  
  Our developers are working hard on making thin surfaces a possibility in Discovery Live. Hopefully, we will see some improvements in the near future. Thank you for your inputs. We're glad you like our products.
- December 17, 2019 at 9:56 am
  
  ahobbs
  Subscriber
  
  Subashni Glad to hear.... happy to help with this feature development if you need beta testers

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