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<DIV> </DIV>---------- 转发邮件信息 ----------<BR>发件人："weaponfire2005 <weaponfire2005@163.com>" <BR>发送日期：2009-08-31 19:05:42<BR>收件人："Andy Bauer" <andy.bauer@kitware.com><BR>主题： Re:Re: [Paraview] Paraview store all data in every server node?<BR>
<DIV>Hi:</DIV>
<DIV> 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.</DIV>
<DIV> My problem is, for example: </DIV>
<DIV> run: mpirun -np 4 ./pvserver </DIV>
<DIV> after reading data and rendering isosurface, each node(process) consume 2GB memory<BR></DIV>
<DIV> and run: mpirun -np 16 ./pvserver<BR> after reading data and rendering isosurface, each node(process) also consume 2GB memory</DIV>
<DIV> 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).</DIV>
<DIV> Maybe I should try ParaView 3.6.1. I will cry if the problem still exist in version 3.6.1......</DIV>
<DIV></DIV><BR>在2009-08-30，"Andy Bauer" <<A href="mailto:andy.bauer@kitware.com">andy.bauer@kitware.com</A>> 写道：<BR>
<BLOCKQUOTE id="isReplyContent" style="PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: #ccc 1px solid">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.<BR><BR>Andy<BR><BR>
<DIV class="gmail_quote">2009/8/30 weaponfire2005 <SPAN dir="ltr"><<A href="mailto:weaponfire2005@163.com">weaponfire2005@163.com</A>></SPAN><BR>
<BLOCKQUOTE class="gmail_quote" style="PADDING-LEFT: 1ex; MARGIN: 0pt 0pt 0pt 0.8ex; BORDER-LEFT: rgb(204,204,204) 1px solid">
<DIV>Hi all:</DIV>
<DIV> First thanks for Dave.Demarle's help.</DIV>
<DIV> 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.</DIV>
<DIV> 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?</DIV>
<DIV> Thanks for your help:)<BR> Pan Wang<BR></DIV><BR><BR><SPAN title="neteasefooter"></SPAN>
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