[gmx-users] [gmx-developers] GTX 680 non detected on OS X
Szilárd Páll
pall.szilard at gmail.com
Tue May 31 19:05:15 CEST 2016
So to summarize:
- your installation does have shared libraries (we know);
- you set CUDA*USE*STATIC*CUDA*RUNTIME=OFF (which is what the change
does and what you can also do manually in cmake) ?
- and you are still getting gmx statically linked against libcudart?
--
Szilárd
On Tue, May 31, 2016 at 2:59 PM, Uliano Guerrini <uliano.guerrini at unimi.it>
wrote:
> uliano at MacPro:~$ ls /Developer/NVIDIA/CUDA-7.5/lib
> libcublas.7.5.dylib libcusolver_static.a
> libcublas.dylib libcusparse.7.5.dylib
> libcublas_device.a libcusparse.dylib
> libcublas_static.a libcusparse_static.a
> libcudadevrt.a libnppc.7.5.dylib
> libcudart.7.5.dylib libnppc.dylib
> libcudart.dylib libnppc_static.a
> libcudart_static.a libnppi.7.5.dylib
> libcufft.7.5.dylib libnppi.dylib
> libcufft.dylib libnppi_static.a
> libcufft_static.a libnpps.7.5.dylib
> libcufftw.7.5.dylib libnpps.dylib
> libcufftw.dylib libnpps_static.a
> libcufftw_static.a libnvToolsExt.1.dylib
> libcuinj.7.5.dylib libnvToolsExt.dylib
> libcuinj.dylib libnvblas.7.5.dylib
> libculibos.a libnvblas.dylib
> libcurand.7.5.dylib libnvrtc-builtins.7.5.dylib
> libcurand.dylib libnvrtc-builtins.dylib
> libcurand_static.a libnvrtc.7.5.dylib
> libcusolver.7.5.dylib libnvrtc.dylib
> libcusolver.dylib stubs
>
> I compiled also the git current version with the same result
>
>
> > On 31 May 2016, at 14:44, Mark Abraham <mark.j.abraham at gmail.com> wrote:
> >
> > OK, but if all you have is static libraries, then that is all that CMake
> > can do, which is why I asked whether you have shared libraries where
> CMake
> > can find them?
> >
> > Mark
> >
> > On Tue, May 31, 2016 at 2:39 PM Uliano Guerrini <
> uliano.guerrini at unimi.it>
> > wrote:
> >
> >> Hi Mark,
> >>
> >> the patch was active, in the sense that I pasted the 3 lines if (APPLE)…
> >> in between of the corresponding location (not same lines) of the
> relevant
> >> file of gramacs 5.1.2.
> >>
> >> I recompiled now without any difference (libcudart always static).
> >>
> >> uliano
> >>
> >>> On 31 May 2016, at 11:31, Mark Abraham <mark.j.abraham at gmail.com>
> wrote:
> >>>
> >>> Hi,
> >>>
> >>> The point of the patch that I linked was to specifically disable static
> >>> linking in what sounds like your case. What linking resulted from it?
> Do
> >>> you even have shared libraries installed? What does NVIDIA do/recommend
> >> on
> >>> Mac?
> >>>
> >>> Mark
> >>>
> >>> On Tue, 31 May 2016 11:25 Uliano Guerrini <uliano.guerrini at unimi.it>
> >> wrote:
> >>>
> >>>>
> >>>>>
> >>>>> The output you pasted into that email clearly shows that libcudart is
> >>>>> *statically* linked, so it's normal that it does not show up in the
> >> otool
> >>>>> output (you can list the symbols in your binary with some OS X tool
> >>>> similar
> >>>>> to nm if you want to verify).
> >>>>>
> >>>>> I have *no Idea* of the mechanism that is able to load libcudart
> >> without
> >>>>>> having it listed by otool -L
> >>>>>>
> >>>>>
> >>>>> The mechanism is called binary loader (if you linked statically) ;)
> >>>>
> >>>> actually it seems that libcudart *is* statically linked to libgromacs
> >>>>
> >>>> configuring with:
> >>>>
> >>>> uliano at MacPro:~/local/src/gromacs_build$ cmake ../gromacs-5.1.2
> >>>> -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DGMX_GPU=on
> >>>> -DCMAKE_PREFIX_PATH="/opt/local;/Developer/NVIDIA/CUDA-7.5/lib"
> >>>> -DCUDA_TOOLKIT_ROOT_DIR=/Developer/NVIDIA/CUDA-7.5
> >>>> -DCMAKE_INSTALL_PREFIX=/opt/gromacs
> >> -DCUDA_HOST_COMPILER=/usr/bin/clang++
> >>>>
> >>>> I get:
> >>>>
> >>>> uliano at MacPro:~$ nm /opt/gromacs/lib/libgromacs.1.dylib | grep
> cudart
> >> |
> >>>> head
> >>>> 000000000090cd70 t __ZN6cudart10configData11addArgumentEPKvmm
> >>>> 000000000090cd30 t
> __ZN6cudart10configData5resetE4dim3S1_mP11CUstream_st
> >>>> 000000000090cc90 t __ZN6cudart10configDataC1Ev
> >>>> 000000000090ccd0 t __ZN6cudart10configDataC2Ev
> >>>> 000000000090cd10 t __ZN6cudart10configDataD1Ev
> >>>> 000000000090cd20 t __ZN6cudart10configDataD2Ev
> >>>> 000000000092c160 t __ZN6cudart10cuosCallocEmm
> >>>> 000000000092a3e0 t __ZN6cudart10cuosGetEnvEPKcPcm
> >>>> 000000000092c140 t __ZN6cudart10cuosMallocEm
> >>>> 000000000092a3d0 t __ZN6cudart10cuosSetEnvEPKcS1_
> >>>>
> >>>> but still:
> >>>>
> >>>> NOTE: Error occurred during GPU detection:
> >>>> CUDA driver version is insufficient for CUDA runtime version
> >>>> Can not use GPU acceleration, will fall back to CPU kernels.
> >>>>
> >>>> so, maybe this is not a linking problem
> >>>>
> >>>> uliano
> >>>>
> >>>> --
> >>>> Gromacs Users mailing list
> >>>>
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> >>>>
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