[Paraview] Fw:Re:Re: Paraview store all data in every server node?

[weaponfire2005]

Hi: 
  Well, I post my .xmf file(the attachment). In fact，the structure of the xmf file is simple. It only contains some <Grid>. I use a "for()" loop to write this file. The raw data is HDF5 data format. Is something wrong?
 Thanks for help.


 


2009-09-01，"Berk Geveci" berk.geveci at kitware.com> ：
>Can you post an example dataset? Just the xmf file would be sufficient.
>
>-berk
>
>  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......
>>
>> 2009-08-30，"Andy Bauer" <andy.bauer at kitware.com> ：
>>
>> 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 weaponfire2005 at 163.com>:
>>>
>>> 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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>>
>>
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