[Bf-committers] How much ram is needed for compiling cuda kernels ?
sambucuself at gmail.com
Sat Apr 20 15:03:07 CEST 2013
Thanks, that is the elegant solution for my problem...
I did as you said and the kernel was compiled on first start without a
> Message: 6
> Date: Fri, 19 Apr 2013 08:49:09 -0400
> From: trouble daemon <troubledaemon at gmail.com>
> Subject: Re: [Bf-committers] How much ram is needed for compiling cuda
> kernels ?
> To: bf-blender developers <bf-committers at blender.org>
> NDxyw at mail.gmail.com>
> Content-Type: text/plain; charset=ISO-8859-1
> Hi Marko,
> I use ccmake (the ncurses version of cmake-menu) here in Linux. For my
> cuda compiling, I generally leave WITH_CYCLES_CUDA_BINARIES set to
> OFF, which has the effect of delaying building of the cuda kernel
> until I actually run blender and enable cycles for the first time.
> After the first run, this should have the effect of only comping the
> cuda that is actually needed for your system.
> If you would rather build your kernel during compile instead, set that
> above line to ON, and then in advanced settings, change
> CYCLES_CUDA_BINARIES_ARCH to sm_21 only (the newer default is:
> "sm_20;sm_21;sm_30" for me atm, but I think it had sm_13 in there
> until recently).
> Hope this helps, gl o/
> On Fri, Apr 19, 2013 at 8:31 AM, Marko Radojcic <sambucuself at gmail.com>
> > Thanks. This is the answer I was looking for.
> > My GT 430 has 2.1 compute capability so 1.3 is not needed for me, and
> > apparently I didn't force the sm_21 value properly.
> > What shoud I edit to force compiling only 2.1 cuda kernel ?
> > I obviously didn't properly understand the wiki page explaining it ...
> > I am using cmake, but I can work with scons if the setting is easier to
> > achieve...
> >> We dropped official support for sm 1.3, partly because it is so
> >> difficult to compile for. Which build system are you using? Perhaps
> >> this is not properly configured.
> >> > How much RAM is required to build the kernels? - that is my main
> >> question.
> >> >
> >> > Is 2.5GB limit within the OS or the build environment ?
> >> >
> >> > I'm using gcc 4.6.2 and CUDA 5.0
> >> I don't know the number, it changes each time we add more features.
> >> For sm 2.x or newer RAM usage is a lot lower than sm 1.3 so I suggest
> >> just trying to find out how to configure things to avoid the issue, as
> >> building sm 1.3 on 32 bit is something we don't support anymore.
> >> Brecht.
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