[Paraview] Very slow performance in Parallel mode

[Arya Mazaheri]

So, is there any way to dynamically assign number of CPU cores to the visualization process?  


On Tuesday ۲۱ June ۱۳۹۱ at ۱۴:۰۶, Paul McIntosh wrote:

> Arya – from my experience small data will behave worse because there is some overhead in splitting it up. If it all fits in one process then that is the best place for it.  
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> Paul
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> From: paraview-bounces at paraview.org [mailto:paraview-bounces at paraview.org] On Behalf Of Arya Mazaheri
> Sent: Tuesday, 11 September 2012 7:06 PM
> To: paraview at paraview.org (mailto:paraview at paraview.org)
> Subject: [Paraview] Very slow performance in Parallel mode
>   
> Hi there,  
>  
> I have made some experiments to see how running paraview in parallel mode can help me visualize my data more faster.  
>  
> First I ran paraview on my Macbook pro with a sphere source which has about 90MB data. It's running smoothly without considerable annoyance. Then I tried to run the same dataset on ONE cluster node with 48 CPU cores. I started the paraview with the following command:
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> # mpirun -np 48  /share/apps/Paraview3/bin/pvserver -display :0
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> Then I connected to the server with my Macbook to render the same dataset. But I noticed a great deal on performance degradation. It was so hard to rotate and manipulate the object in 3d view. I am surprised by this issue! Do you know the reason?
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> Thanks,
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