[Paraview] Connecting to pvserver

[Pradeep Jha]

Hi David,

thanks for the detailed response. I am very new to using Paraview in
parallel and still not very familiar with its terminologies. I want to make
sure if I understood you correctly.


   1. You are saying that I can install Paraview from source in my home
   directory on the remote machine?
   2. If I want to use the cluster, installing Paraview from source on the
   remote (login) mode, such that the  computer nodes can access it, should be
   sufficient?
   3. If possible I would like to visualize a data of around 800 GB. A
   machine that I can use for visualization has the following specifications:

   *PRIMQUEST 1800E*

   *CPU：8CPU (XeonTM X7560 2.26GHz (8core))*

   *MEM：1TB*

   Do you have any intuitive ideas if this will be sufficient?
   4. What is the oldest version of Python that Paraview is compatible
   with? Is this version fine?

   *Python 2.4.3 (#1, Apr 14 2011, 20:41:59) *

   *[GCC 4.1.2 20080704 (Red Hat 4.1.2-50)]*

   *
   *

   I am sorry but I am very new to parallel visualization and I am having a
   bit of a tough time putting it all together :)

   Thanks

   Pradeep







2013/1/17 David E DeMarle <dave.demarle at kitware.com>

> On Thu, Jan 17, 2013 at 2:12 AM, Pradeep Jha
> <pradeep.kumar.jha at gmail.com> wrote:
> > Hello,
> >
> > I am trying to use PV for the first time in parallel. I have some basic
> > questions.
> >
> > I have installed PV 3.98 from source on my local machine (Mac OSX). I
> don't
> > have the root permissions for the remote system I want to use for
>
> You shouldn't need root permissions. You can build paraview in your
> home directory (or anywhere that the remote machine can read from) and
> connect to that. You generally don't even have to run make install.
>
> > visaulization. So I installed the binary form of PV 3.98 on the remote
>
> Our binaries typically don't have an MPI in them that will work on the
> cluster's network. What we have is more or less just for making use of
> the cores on a single node. So you typically have to compile paraview
> on the cluster and enable MPI to use it in distributed memory parallel
> settings. It should work for you on the remote node, but not the
> cluster.
>
> > system. I set up the server on that machine using the command:
> >
> > $mpiexec -n 4 pvserver --use-offscreen-rendering
> >
> > And then I am trying to connect to this server from the PV on my Mac.
> But it
> > is giving me the following error:
> >
> -----------------------------------------------------------------------------------------------------------------------------------------/Users/pradeep/softwares/ParaView/ParaViewCore/ClientServerCore/Core/vtkTCPNetworkAccessManager.cxx,
> > line 332
> > vtkTCPNetworkAccessManager (0x7f953b63aa30): Failed to connect to
> > localhost:11150. Client-Server Handshake failed. Please verify that the
> > client and server versions are compatible with each other
> >
> > Any ideas what is going wrong?
>
> This is most often happens when the client and server are mismatching
> versions (3.14 connecting to 3.10 etc), but various network problems
> can result in the same thing.
>
> >
> > Also, this remote system has 16 processors. But for bigger jobs, I can
> > submit a job on a cluster using this remote system using a shell script
> > where it can use over 100 processors. But I cannot install anything on
> this
> > cluster. ...
>
> Same comment as before, you only have to have a paraview built
> somewhere that the compute nodes can access, so you shouldn't have to
> install it.
>
> > ... Can I use this remote cluster for using paraview faster?
> >
>
> A word of caution - more nodes does not necessarily mean faster.
> ParaView's parallel architecture allows it to process larger data and
> larger data as more disks and memory are added - not the same sized
> data faster and faster using more CPUs and GPUs are added (accept in
> the infrequent case when processing and rendering are the
> bottlenecks).
>
> > The structure is something like this: Mac ---> Remote system (16
> processors)
> > ----> Cluster with over 100 nodes.
>
> You'll need to set up an ssh tunnel through the remote (login) node to
> the cluster in your job submission to do that.
>
> > Thanks,
> > Pradeep
> >
>
>
> David E DeMarle
> Kitware, Inc.
> R&D Engineer
> 21 Corporate Drive
> Clifton Park, NY 12065-8662
> Phone: 518-881-4909
>
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