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. > > Paul > > From: paraview-boun...@paraview.org [mailto:paraview-boun...@paraview.org] On > Behalf Of Arya Mazaheri > Sent: Tuesday, 11 September 2012 7:06 PM > To: paraview@paraview.org (mailto:paraview@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: > > # mpirun -np 48 /share/apps/Paraview3/bin/pvserver -display :0 > > > > 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? > > > > Thanks, > > > > >
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