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March 14, 2016, 16:20 |
Memory issues in full annulus simulation
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#1 |
New Member
Join Date: Jan 2015
Posts: 29
Rep Power: 11 |
Hi all,
I'm currently trying to do a steady, single stage, full annulus simulation using frozen rotor model for interface. (due to the existence of non-axisymmetric parts of the other geometries) My (single passage) blade rows are generated in Autogrid 5 and then loaded in CFX-pre in .cgns format. I then used the 'turbo rotation' option to copy each row to full annulus. Total mesh count is around 26m which is considered coarse for my case. When run on a local linux workstation (16 cores, 32GB RAM), I've been given memory deficiency warnings after trying serial, local MPI, increasing the memory allocation factors, using large problem partitioner option, etc, following the exisiting posts in this forum. I suspect that it's the GGI that causes massive memory usage but I don't see why it should be as my interfaces are fairly simple. Also I feel sth is wrong to use more than 32G RAM for a 20m ish calculation. |
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March 14, 2016, 21:58 |
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#2 |
Super Moderator
Glenn Horrocks
Join Date: Mar 2009
Location: Sydney, Australia
Posts: 17,871
Rep Power: 144 |
Are you using double precision? That uses extra memory, so if you don't need it turn it off.
The memory useage you report is about what I would expect for a simulation of that number of nodes. So I think this model is just too big for the RAM you have available. I don't think the GGIs are contributing significantly to the problem, just the node count. |
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March 16, 2016, 09:47 |
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#3 |
Member
Join Date: Nov 2013
Posts: 57
Rep Power: 13 |
Did you try to increase the '' Memory Alloc Factor'' by x2 or more?
in the partitioner part option of the CFX-Solver Manager. |
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March 16, 2016, 10:30 |
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#4 |
New Member
Join Date: Jan 2015
Posts: 29
Rep Power: 11 |
I did, but my experience is that the actual allocated memory doesn't change much. I later on reduced my mesh from 26m to 21m and was just able to run it (with 4 or 8 'cores' as per CFX) using 95% of my 32GB RAM.
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March 16, 2016, 11:34 |
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#5 |
Senior Member
Maxim
Join Date: Aug 2015
Location: Germany
Posts: 413
Rep Power: 13 |
I think your model is too big for just 32GB RAM. Can you update to 64GB?
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March 16, 2016, 11:40 |
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#6 |
New Member
Join Date: Jan 2015
Posts: 29
Rep Power: 11 |
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