[Paraview] structured to unstructured when using multiblocks filter

[Andy Bauer]

Hi Ufuk,

Currently a multipiece data set always has to be nested under a multiblock
dataset. This definitely seems like an unreasonable limitation on a
structured grid under a multipiece dataset but I suspect we just haven't
had the resources to put into making this work properly. My suggestion
would be to try just having your Catalyst adaptor provide a structured grid
directly, assuming you only have one grid per mpi process, and then try
volume rendering like that. If you do this though, make sure to set the
whole extent with vtkCPInputDataDescription::SetWholeExtent().

A thought here -- instead of changing your adaptor to generate the
structured grid directly instead of a multipiece dataset, maybe create a
second "channel" through a second vtkCPInputDataDescription that provides
just a structured grid. This way you can provide both dataset types as
needed instead of having to modify code back and forth, recompile, etc. to
get different functionality. See the
Examples/Catalyst/CxxMultiChannelInputExample in the 5.5 source code for
some more details on this.

I can't remember if you were using the editions or just the full ParaView
Catalyst build but in 5.5 there will be a volume rendering Catalyst
addition.

Note that the multiblock/multipiece hierarchy will be undergoing a
significant change in the near future.

Best,
Andy


On Sun, Mar 18, 2018 at 1:21 PM, Ufuk Turuncoglu <
u.utku.turuncoglu at be.itu.edu.tr> wrote:

> Hi,
>
> I am using MPI parallel code under Catalyst co-processing. In this case, i
> am defining data by creating multi-block dataset and putting multi-piece
> dataset into the first block (0). In this case, each piece is defined as
> structured grid. The problem is that, to create volume rendering, i need to
> use MergeBlocks filter under ParaView but it changes data type from
> structured grid to unstructured one. I just wonder that is there any way to
> merge blocks without changing type? Programmable filter etc.? Another
> workaround could be defining dataset without using multi block under
> co-processing adaptor code. So, is it possible to represent multi-piece
> data under co-processing without putting it into multi-bloack dataset.
>
> Regards,
>
> --ufuk
>
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