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

Berk Geveci berk.geveci at kitware.com
Tue Sep 1 07:16:40 EDT 2009


Can you post an example dataset? Just the xmf file would be sufficient.

-berk

2009/8/31 weaponfire2005 <weaponfire2005 at 163.com>:
>
>
>
>
> ---------- 转发邮件信息 ----------
> 发件人:"weaponfire2005 <weaponfire2005 at 163.com>"
> 发送日期:2009-08-31 19:05:42
> 收件人:"Andy Bauer" <andy.bauer at kitware.com>
> 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" <andy.bauer at kitware.com> 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 <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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