[Paraview] [Non-DoD Source] Re: Error when trying to turn on Volume Rendering for large tetrahedral data in ParaView 5.4.1

Wed Jan 24 17:00:10 EST 2018

Utkarsh,

Thanks, turning on "Use Data Partitions" helped quite a bit.
The rendering is working for me now. I still suspect there
is a bug somewhere, but with "Use Data Partitions" on
I do not seem to be hitting it, and it is renders faster as well.

Thanks,

Joe

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Joseph G. Hennessey Ph.D., SAIC
Team SAIC
Army Research Lab
DOD Supercomputing Resource Center
Aberdeen Proving Ground, MD 21005
Email:  joseph.g.hennessey2.ctr at mail.mil

-----Original Message-----
From: Utkarsh Ayachit [mailto:utkarsh.ayachit at kitware.com]
Sent: Wednesday, January 24, 2018 4:00 PM
To: Hennessey, Joseph G CTR USARMY RDECOM ARL (US) 
<joseph.g.hennessey2.ctr at mail.mil>
Cc: paraview at paraview.org
Subject: [Non-DoD Source] Re: [Paraview] Error when trying to turn on Volume 
Rendering for large tetrahedral data in ParaView 5.4.1

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----

Joe,

Sorry, doesn't ring a bell. One thing to try is to turn of "Use Data 
Partitions" (see [1]) if your data is already partitioned between ranks such 
that we can build a sorting order.

Utkarsh

[1] Caution-https://blog.kitware.com/improved-parallel-rendering-in-paraview/

On Wed, Jan 24, 2018 at 3:16 PM, Hennessey, Joseph G CTR USARMY RDECOM ARL 
(US) <joseph.g.hennessey2.ctr at mail.mil> wrote:
> Hello,
>
> I am experiencing an error with volume rendering very large
> tetrahedral data with ParaView version  5.4.1.
>
> The data is loaded properly and the surface representation works, but
> when I change the representation to Volume, I get the standard dialog
> below to which I respond "Yes"
>
> 'This will change the representation type to "Volume".
> That may take a while, depending on your dataset. Are you sure?'
>
> I am tested this on two of the HPC supercomputer systems while
> connected to a remote server with multiple compute nodes,
> communicating over MPI. I have verified, I am not running out of
> memory  on the compute nodes or on the client but on large data, (over
> 40 million or so tetrahedrons) the compute nodes will crash without
> any error messages and the remote connection will drop, running out of
> memory would cause a similar failure, but as far as I can tell, that
> is not the case here.
>
> I wanted to see if anyone else had hit this problem, before I try
> building debug versions of the software and using a debugger on them,
> to trace the failure down more thoroughly.
>
> The data has 4 vectors and a scalar defined at each tetrahedron, and
> it renders fine with smaller subsets (less than 20 million or so
> tetrahedron). I would like to be able to scale up to a billion
> tetrahedrons eventually, so a 40 million limit is a problem.
>
> I suspect that there might be an issue in
> vtkOpenGLProjectedTetrahedraMapper.cxx
> where some buffer is maybe 32 bit instead of 64 bit, but I have not
> confirmed this.
>
> Has anyone already solved this problem yet?
>
> Thanks,
>
> Joe
>
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Joseph G. Hennessey Ph.D., SAIC
> Team SAIC
> Army Research Lab
> DOD Supercomputing Resource Center
> Email:  joseph.g.hennessey2.ctr at mail.mil
>
>
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