[Paraview] Parallel Data visualization.

[David E DeMarle]

I would:

1) See if your solver can output into one of the file formats that
ParaView understands. Those are listed at:
   http://paraview.org/Wiki/ParaView/Users_Guide/List_of_readers
Many, but not all of those are parallel aware and will do exactly what
you are trying to do.

2) If not, first see the VTK User's Guide chapter 16. This describes
in detail the API for VTK's data structures. Your reader is
responsible for parsing the file and filling in VTK data objects. Next
see
http://paraview.org/Wiki/Writing_ParaView_Readers, which is the same
as Chapter 21 in the ParaView guide, with the errata
(http://paraview.org/Wiki/Book_Errata) fixed. This book chapter
describes what a reader must do to read in parallel.

David E DeMarle
Kitware, Inc.
R&D Engineer
28 Corporate Drive
Clifton Park, NY 12065-8662
Phone: 518-371-3971 x109



On Mon, Mar 28, 2011 at 12:46 AM, Arjun Yadav <y-arjun.az at srigroup.co.jp> wrote:
> Description of Problem.
>
> We have a CFD solver that runs in parallel mode. Each partition runs a
> portion of mesh just like other parallel CFD codes do. We wish to visualize
> the data exported from this solver.
> Since data sizes are very large, it is not possible for me to assemble the
> data to 1 process and export single result file for post processing.
> This means each processor can write its own result file. The calculation is
> transient, this mean for given Np processors I shall have Np results files
> for each time step.
>
> Assume that , I can run paraview on equal number of processors. That means
> Np paraviews running, such that each process can load 1 result file for
> post processing.
>
> Questions:
>
> 1. What format I shall export so that paraview can load, the way I
> described above. I prefer binary format.
> 2. how to do it. Any hints would be useful.
>
>
> Note that, I have books (any pointer where to look into them would be
> great):
> 1. The Paraview Guide
> 2. The visualization toolkit (4th edition).
> 3. The VTK user's Guide.
>
> Thank you very much.
>
> Arjun
>
>
>
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