[Bf-cycles] CUDA Memory usage: Call for testing
danmcgrath.ca at gmail.com
Mon Jan 11 19:04:54 CET 2016
On Mon, Jan 11, 2016 at 11:42 AM Sergey Sharybin <sergey.vfx at gmail.com>
> 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>
>> Hi, check several files, the usual suspects!
>> All scenes need slightly less memory with experimental kernel.
>> Some render times:
>> Supported = 01:10.30
>> Experimental = 01:19.00
>> Supported = 01:01.77
>> Experimental = 01:06.04
>> 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
>> > _______________________________________________
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>> > Bf-cycles at blender.org
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> With best regards, Sergey Sharybin
> Bf-cycles mailing list
> Bf-cycles at blender.org
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