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Parameter problem of particle angle of repose calibration using EDEM and Hyperstudy coupling

In the video, a string of code was added to the settings. Can you explain the meaning of the code in detail? Or rather, provide a comprehensive help document so that I can understand the meaning of each setting marked in the images

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EDEM

HyperStudy

Accepted answers

PrasadAvilala

EDEM Tutorial 10.1 - Material Calibration and Batch Mode simulations.pdf

Hi Jin,

Please find the attached document it explains each parameter what you asked in page-14

Thanks,

Prasad A

PrasadAvilala

Hi Jin,

this is explained in detailed in help section shown below however to answer your query

To set CUDA the parameter "E " to be used and E=2 represents CUDA and to answer second query that is how to set different GPU's when you have multiple GPU's for that you have to use parameter "D"

D=0 is 1st GPU

D=1 is second GPU

D=2 is third GPU and so on or in the workstation/Server how the GPU index is configured you have to define

Hope this helps.

Thanks,

Prasad A

All comments

PrasadAvilala

EDEM Tutorial 10.1 - Material Calibration and Batch Mode simulations.pdf

Hi Jin,

Please find the attached document it explains each parameter what you asked in page-14

Thanks,

Prasad A

Jin1

Thank you for your reply. I have a few more questions about this setting. The first question is: - p represents the number of cores in the CPU. How can I call the CUDA of the GPU for calculation? Secondly, when conducting full factor analysis at DOE, how can I define the use of different GPUs for solving each calculation file, given that I have multiple licenses?

PrasadAvilala

Hi Jin,

this is explained in detailed in help section shown below however to answer your query

To set CUDA the parameter "E " to be used and E=2 represents CUDA and to answer second query that is how to set different GPU's when you have multiple GPU's for that you have to use parameter "D"

D=0 is 1st GPU

D=1 is second GPU

D=2 is third GPU and so on or in the workstation/Server how the GPU index is configured you have to define

Hope this helps.

Thanks,

Prasad A

Jin1

Thank you very much for your reply. I understand now

Jin1

sorry， I have another question. I now know how to use GPU computing in Hyperstudy, but how can I assign different GPUs to each computing task in DOE computing for multiple tasks? As shown in the following figure

PrasadAvilala

I am not sure in Hyperstudy is there a provision for Multi GPU, need some time.

I will come back to you by Monday

Thanks,

Prasad A

PrasadAvilala

Hi Jin,

You can find the below picture to submit parallel jobs

Thanks,

Prasad A

Jin1

Yes, I know about this feature, but what I want to ask is, assuming I have 4 TASKS to calculate, my parallel task is 2, and my computer has two GPUs, how can I set different GPUs for each parallel task in Hyperstudy to solve it? How can I set different solving hardware for each of the n tasks I solve on the optimization page of Hyperstudy? It seems that there is no such setting on this panel