[Paraview] [Non-DoD Source] Re: ParaView GPU support (UNCLASSIFIED)

Thu Sep 21 13:08:57 EDT 2017

CLASSIFICATION: UNCLASSIFIED

Hello Robert,

thank you for your reply and we are looking forward to your email. Joe has 
made some progress on that front on one of our newly installed system. We are 
seeing some 12x performance gain on our compute nodes with GPU hardware. We 
are looking into system wide deployment and having to be able to do it from 
superbuild will significantly help simplify our deployment process.

thanks
-simon

-----Original Message-----
From: Robert Maynard [mailto:robert.maynard at kitware.com]
Sent: Thursday, September 21, 2017 12:07 PM
To: Su, Simon M CIV USARMY RDECOM ARL (US) <simon.m.su.civ at mail.mil>
Cc: Utkarsh Ayachit <utkarsh.ayachit at kitware.com>; paraview at paraview.org
Subject: Re: [Paraview] [Non-DoD Source] Re: ParaView GPU support 
(UNCLASSIFIED)

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----

Hi Simon,

Currently the VTK-m support that is offered by the ParaView superbuild doesn't 
support enabling CUDA. I am in the process of adding this option to the 
superbuild and can notify you when this feature has been merged in. In the 
short-term you would want to manual modify the vtk-m CMAKE_ARGS entry in the 
superbuild to have VTKm_ENABLE_CUDA:BOOL=ON.

On Wed, Sep 20, 2017 at 9:45 AM, Su, Simon M CIV USARMY RDECOM ARL
(US) <simon.m.su.civ at mail.mil> wrote:
> CLASSIFICATION: UNCLASSIFIED
>
> Hi Utkarsh,
>
> is there a sure way to tell if our ParaView VTK-m compilation has the
> correct CUDA support?  For the superbuild process, is there a way to
> force the detection of CUDA library and fail the superbuild process if
> CUDA library is not correctly detected? thank you
>
> thanks
> -simon
>
> -----Original Message-----
> From: Utkarsh Ayachit [Caution-mailto:utkarsh.ayachit at kitware.com]
> Sent: Friday, September 15, 2017 12:36 PM
> To: Su, Simon M CIV USARMY RDECOM ARL (US) <simon.m.su.civ at mail.mil>
> Cc: paraview at paraview.org
> Subject: [Non-DoD Source] Re: [Paraview] ParaView GPU support
> (UNCLASSIFIED)
>
> 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.
>
>
>
>
> ----
>
> Simon,
>
> The answer depends on whether you want to ParaView to use GPU for
> rendering alone or also for computation e.g. contours. For former,
> it's automatic via OpenGL. So long as your environment and/or your
> build is set up such that ParaView picks up the OpenGL implementation
> provided by your GPU drivers, you'll get GPU acceleration. For
> GPU-accelerated algorithms, you have to enable VTK-m support at build time 
> and then enable CUDA support for VTM-m.
> Currently, you need create special filters via the VTM-m plugin [1] to
> use accelerated versions of common algorithms like contour. In future,
> this will be automatic, and you will be able to simply use the generic 
> filters.
>
> Hope that helps.
>
> Utkarsh
>
>
> [1]
> Caution-Caution-https://blog.kitware.com/paraview-5-3-0-release-notes/
>
> On Thu, Sep 14, 2017 at 3:42 PM, Su, Simon M CIV USARMY RDECOM ARL
> (US) <simon.m.su.civ at mail.mil> wrote:
>> CLASSIFICATION: UNCLASSIFIED
>>
>>  Hello,
>>
>> How do we configure ParaView to take advantage of available GPU
>> hardware? Do we have to compile with different compile flags? Or
>> ParaView automatically detects availability of GPU hardware and take
>> advantage of it?  Any insight is greatly appreciated
>>
>> Thanks
>> -simon
>>
>>
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