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 <[email protected]> > On Thu, Jan 17, 2013 at 2:12 AM, Pradeep Jha > <[email protected]> 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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