[Bf-cycles] CUDA Memory usage: Call for testing

Sergey Sharybin sergey.vfx at gmail.com
Mon Jan 11 17:42:49 CET 2016


Hey everyone,

Dan, do you mind re-testing with the latest git? Committed some tweak for
your GPU now.

On Mon, Jan 11, 2016 at 2:12 AM, Wolfgang Fähnle <wfaehnle at freenet.de>
wrote:

> Hi, check several files, the usual suspects!
> All scenes need slightly less memory with experimental kernel.
> Some render times:
>
> Classroom:
> Supported = 01:10.30
> Experimental = 01:19.00
>
> Fishy_cat:
> Supported = 01:01.77
> Experimental = 01:06.04
>
> Sponza:
> Supported = 00:25.47
> Experimental = 00:27.54
>
>
> Opensuse 13.2/64
> Intel i5 3770K
> GTX 760 4 GB /Display card
> GTX 670 2 GB
> Driver 355.11
> Blender 82049cb
>
> Cheers, mib
>
>
>
>
>
>
>
> Am 10.01.2016, 20:41 Uhr, schrieb Thomas Dinges <blender at dingto.org>:
>
> > Hi everyone,
> >
> > For Blender 2.72 we added the CUDA Experimental kernel, to have SSS
> > working on the GPU.
> > The reason we added an extra kernel was mainly an increased memory usage
> > during render.
> >
> > Good news is, this extra memory usage has been fixed by Sergey. I ran
> > some tests and rendering several scenes with the Experimental kernel
> > results in no or very little extra memory. I only checked GPU memory
> > usage (using GPU-Z), not render time.
> > http://temp.dingto.org/gpu_experimental_mem.pdf
> >
> > So please, could people run some tests on their own and report here?
> > It's very easy:
> > - Download latest build for your OS from the Buildbot
> > https://builder.blender.org/download/
> > - Render using the GPU, once with the Supported feature set enabled,
> > once with the Experimental one.
> > - Compare render time and GPU memory usage.
> >
> > If you compile Blender yourself, make sure you use CUDA Toolkit 6.5 and
> > latest master.
> >
> > You can use scenes from here:
> > - Simple scenes:
> > https://svn.blender.org/svnroot/bf-blender/trunk/lib/tests/cycles/
> > - Larger ones:
> > https://svn.blender.org/svnroot/bf-blender/trunk/lib/benchmarks/cycles/
> >
> > If there is no or little memory / render time increase we can drop the
> > extra CUDA kernel, improving Code maintenance and CUDA compilation time.
> >
> > Thanks,
> > Thomas
> > _______________________________________________
> > Bf-cycles mailing list
> > Bf-cycles at blender.org
> > http://lists.blender.org/mailman/listinfo/bf-cycles
>
>
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-- 
With best regards, Sergey Sharybin
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