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RE: How to reduce the running time with FLUENT |
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August 24, 2004, 14:41 |
RE: How to reduce the running time with FLUENT
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#1 |
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Hi,
I am using the FLUENT to do the long time simulation. Does anyone have some good suggestions on decreasing the running time? The problem has grid size about 9000 cells. And I tried parallel processing with 2cpus, and it takes more time. Thanks a lot! HP |
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August 24, 2004, 15:13 |
Re: RE: How to reduce the running time with FLUENT
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#2 |
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I am assuming you have sufficient RAM
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August 24, 2004, 18:29 |
Re: RE: How to reduce the running time with FLUENT
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#3 |
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Hi,Andrew. Do you mean if I add more RAM, the speed will be increased?
Thanks. Hp |
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August 24, 2004, 19:11 |
Re: RE: How to reduce the running time with FLUENT
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#4 |
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One of my ways is to somewhat sacrifice result accuracy by reducing the grid numbers. This method is very effective. You also could buy Fluent Parallel Process Licenses with more calculation nodes, it is not expensive.
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August 24, 2004, 20:01 |
Re: RE: How to reduce the running time with FLUENT
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#5 |
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yes, if you don't have sufficient RAM it will slow things down. You need to know how much RAM you have to begin with
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August 25, 2004, 03:03 |
Re: RE: How to reduce the running time with FLUENT
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#6 |
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As you just have 9000 cells, parallel processing will/might actually take more time, due to other overhead charges. parallel processing is not effective for problems with such a small number of cells. Infact you will not be able to appreciate the benefits of parallel fluent with cell count less than atleast an order of magnitude higher.
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August 27, 2004, 11:32 |
Re: RE: How to reduce the running time with FLUENT
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#7 |
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Haai, You do grid independence study. Means run the cases with less that 9000 cells, for example you can go for 8500,8000 and so on. And in each case you compare the results, and if the error is less that considerable range ( for exampe 5-8 percent) you can go for that coarse grid instead of fine grid. This is the method you have to select appropriate number of cells for a particular problem.
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