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

[Wolfgang Fähnle]

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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