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....@mail.mil -----Original Message----- From: Utkarsh Ayachit [mailto:utkarsh.ayac...@kitware.com] Sent: Wednesday, January 24, 2018 4:00 PM To: Hennessey, Joseph G CTR USARMY RDECOM ARL (US) <joseph.g.hennessey2....@mail.mil> Cc: paraview@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 All active links contained in this email were disabled. Please verify the identity of the sender, and confirm the authenticity of all links contained within the message prior to copying and pasting the address to a Web browser. ---- 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....@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....@mail.mil > > > _______________________________________________ > Powered by Caution-www.kitware.com > > Visit other Kitware open-source projects at > Caution-http://www.kitware.com/opensource/opensource.html > > Please keep messages on-topic and check the ParaView Wiki at: > Caution-http://paraview.org/Wiki/ParaView > > Search the list archives at: > Caution-http://markmail.org/search/?q=ParaView > > Follow this link to subscribe/unsubscribe: > Caution-https://paraview.org/mailman/listinfo/paraview >
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