---------- 转发邮件信息 ----------
发件人:"weaponfire2005 <[email protected]>" 
发送日期:2009-08-31 19:05:42
收件人:"Andy Bauer" <[email protected]>
主题: Re:Re: [Paraview] Paraview store all data in every server node?

Hi:
   I used vtkXdmfReader to read my data(ParaView version is 3.4.0), and I also 
found some information about my problem(XDMF bad memory use) from the mail 
list. But I didn't find a final resolution for it.
   My problem is, for example: 
      run: mpirun -np 4 ./pvserver         
    after reading data and rendering isosurface, each node(process) consume 2GB 
memory

  and run: mpirun -np 16 ./pvserver
    after reading data and rendering isosurface, each node(process) also 
consume 2GB memory
    For this problem, I could't visualize large-scale dataset. Because if a 
dataset could be visualized by one node, It also could  be visualized by 16 
nodes, but if it could't be visualized by one node, it also could't by 16 
nodes(or more).
    Maybe I should try ParaView 3.6.1. I will cry if the problem still exist in 
version 3.6.1......

在2009-08-30,"Andy Bauer" <[email protected]> 写道:
The problem may be the reader that you're using.  Some of the readers in VTK 
are not parallel so even if you run multiple processes each process will still 
try to load the entire dataset in that case.

Andy


2009/8/30 weaponfire2005 <[email protected]>

Hi all:
  First thanks for Dave.Demarle's help.
  I use "mpirun -np 4 ./pvserver" to launch a server with four nodes, 
visualizing a 800*800*300 grid. It seems that each process consume too much 
memory. So I extend the number of nodes from 4 to 8 using "mpirun -np 8 
./pvserver" , but each process on 8 nodes server consume the same memory as 4 
nodes server. The situation of 16 processes(16 nodes) is same as above.
   I thought that with the number of processes' growth, each process on server 
would share less raw data, so the quantity of memory each process consuming 
would decline. It proved that I was wrong. Could someone tell me the reason?
 Thanks for your help:)
 Pan Wang




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