[Bf-committers] CUDA Toolkit Update (Windows + Linux)

Sergey Sharybin sergey.vfx at gmail.com
Tue Dec 2 13:51:48 CET 2014


I've enabled sm_52 in linux now.

OSX buildbot still needs cuda update.

On Tue, Dec 2, 2014 at 2:42 PM, Martijn Berger <martijn.berger at gmail.com>
wrote:

> Hi Thomas,
>
> This is of course already taken care of ( the installing cuda part)
> I experimented with the fatbin and I am not sure it is actually that
> useful.. Adding a sm5x ptx and loading that if all else fails does seem
> useful but that is not the same as fatbin.
>
>
> Martijn
>
>
> On Tue, Dec 2, 2014 at 10:20 AM, Thomas Dinges <blender at dingto.org> wrote:
>
> > As 2.73 will be mainly a maintenance release, I would ask you to update
> > the Toolkit on the Buildbots (Linux and Windows), so we can enable the
> > sm_52 kernel.
> > Further changes (like fatbin) can go to 2.74.
> >
> > I would appreciate it Sergey and Martijn. :)
> >
> > Thanks,
> > Thomas
> >
> > Am 23.11.2014 um 08:42 schrieb Thomas Dinges <blender at dingto.org>:
> >
> > > Fixing SSS would of course be the best solution, but I think that is
> > > more a long term project.
> > > I think for now we should just build the extra sm_52 kernel. Although I
> > > like your last suggestion as well (build fatbin and let users of sm5x
> > > optimize themselves).
> > >
> > > Some further food for fought:
> > > * We only support sm_20 and above (Geforce 400 series), which was
> > > released in 2010. I think 4-8 GB RAM was pretty standard back then
> > already.
> > > * We could save some kernel compilation time for 32bit Blender, by
> > > dropping CUDA support there. I don't think that GPU rendering + 32bit
> > > environment is common. And again, we only have to look back to 2010.
> > > 64bit CPUs + OS were common back then already.
> > >
> > > Am 20.11.2014 um 09:55 schrieb Sergey Sharybin:
> > >> Technically it's easy. The only thing which is worrying is we'll have
> 12
> > >> kernels to be compiled now.
> > >>
> > >> Just to mention, fatbin is not gonna to help really. The thing here is
> > ptx
> > >> is really fast to compile, it's optimization to a specific arch takes
> > loads
> > >> of ram and time, So if we ship ptx with just ptx that'd mean users
> would
> > >> need to have 8 gig to be able to get optimized code (which then being
> > >> cached btw). it's not that nice at all.
> > >>
> > >> We can also look into making SSS more or less stable on GPU, or just
> > >> declare GPUs not being feature-full. CMJ i don't think would give any
> > >> issues btw.
> > >>
> > >> Another idea could be optimizing sm_20-sm_35 in the fatbin, users of
> > sm_50,
> > >> sm_52 would optimize on first render. They probably have enough ram
> for
> > >> this :) A bit cruel i know, just throwing ideas for brainstorm of how
> to
> > >> improve the situation.
> > >>
> > >> P.S. i don't mean we shouldn't switch to fatbin, that'd help making
> > blender
> > >> users to early users of new GPUs.
> > >>
> > >> On Thu, Nov 20, 2014 at 3:41 AM, Thomas Dinges <blender at dingto.org>
> > wrote:
> > >>
> > >>> Hey,
> > >>> in order to support Geforce 9xx cards optimally, we should update the
> > >>> CUDA Toolkit (Release & Buildbot) and compile native sm_52 kernels.
> > >>>
> > >>> Sergey, Martijn, can you please update the buildbots?
> > >>> https://developer.nvidia.com/cuda-downloads-geforce-gtx9xx
> > >>> This version is equal to the 6.5.14 we use atm, but adds support for
> > >>> sm_52. So it should be a smooth and safe update.
> > >>>
> > >>> There is no version for Mac, but I think the 9xx cards are not
> > available
> > >>> yet for Mac anyway.
> > >>>
> > >>> Thanks,
> > >>> Thomas
> > >>> _______________________________________________
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> > >>>
> > >>
> > >>
> > >
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-- 
With best regards, Sergey Sharybin


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