Cuda

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Note these instructions *only* apply to Fedora 16 and later releases.

This document provides instructions to install/remove CUDA 4.2 on Fedora. The final goal will be to be able to run GPU-enabled BOINC applications (in particular, GPUGRID).

Installation

Prerequisites

First, be sure your GPU is compatible with CUDA. Refer to NVidia's list of CUDA GPUs.

Then, install required packages:

su -c 'yum install wget make gcc-c++ freeglut-devel libXi-devel libXmu-devel mesa-libGLU-devel'

Additional prerequisites

Additional confirmation needed
This is additionally needed for running BOINC projects. However, it implies that the graphics driver is changed to the 'nvidia' driver. Is this really necessary?

If you want to run BOINC projects, you will also need the NVidia drivers and libraries provided by the "rpmfusion" repository.

• See ForbiddenItems#NVIDIA for Fedora's official policy on the NVidia drivers (which is why the "nouveau" graphics driver instead of the "nvidia" one is used by default.)
• See rpmfusion configuration on how to activate the "rpmfusion" repository for your installation.
• See xorg-x11-drv-nvidia on what the "xorg-x11-drv-nvidia" package is about and how to install it.

Note in particular that you need to install the 32 bit and 64 bit "xorg-x11-drv-nvidia" packages if you are on a 64 bit machine otherwise some BOINC projects won't run.

On 32 bit:

su -c 'yum install xorg-x11-drv-nvidia-libs' 

On 64 bit:

su -c 'yum install xorg-x11-drv-nvidia-libs xorg-x11-drv-nvidia-libs.i686' 

After installation, check the list of provided libraries using "rpm --query --list xorg-x11-drv-nvidia-libs | grep -P '\.so(\.[123])?$'"

/usr/lib64/nvidia/libGL.so.1
/usr/lib64/nvidia/libOpenCL.so.1
/usr/lib64/nvidia/libXvMCNVIDIA.so.1
/usr/lib64/nvidia/libcuda.so
/usr/lib64/nvidia/libcuda.so.1
/usr/lib64/nvidia/libnvcuvid.so.1
/usr/lib64/nvidia/libnvidia-cfg.so.1
/usr/lib64/nvidia/libnvidia-compiler.so.1
/usr/lib64/nvidia/libnvidia-glcore.so
/usr/lib64/nvidia/libnvidia-glcore.so.1
/usr/lib64/nvidia/libnvidia-ml.so.1
/usr/lib64/nvidia/libnvidia-opencl.so.1
/usr/lib64/nvidia/libnvidia-tls.so.1
/usr/lib64/nvidia/tls/libnvidia-tls.so
/usr/lib64/nvidia/tls/libnvidia-tls.so.1
/usr/lib64/vdpau/libvdpau_nvidia.so
/usr/lib64/vdpau/libvdpau_nvidia.so.1
/usr/lib/nvidia/libGL.so.1
/usr/lib/nvidia/libOpenCL.so.1
/usr/lib/nvidia/libXvMCNVIDIA.so.1
/usr/lib/nvidia/libcuda.so
/usr/lib/nvidia/libcuda.so.1
/usr/lib/nvidia/libnvcuvid.so.1
/usr/lib/nvidia/libnvidia-cfg.so.1
/usr/lib/nvidia/libnvidia-compiler.so.1
/usr/lib/nvidia/libnvidia-glcore.so
/usr/lib/nvidia/libnvidia-glcore.so.1
/usr/lib/nvidia/libnvidia-ml.so.1
/usr/lib/nvidia/libnvidia-opencl.so.1
/usr/lib/nvidia/libnvidia-tls.so.1
/usr/lib/nvidia/tls/libnvidia-tls.so
/usr/lib/nvidia/tls/libnvidia-tls.so.1
/usr/lib/vdpau/libvdpau_nvidia.so
/usr/lib/vdpau/libvdpau_nvidia.so.1

Downloads

You will have to download two programs: "CUDA Toolkit" and "GPU Computing SDK". Refer to the NVidia CUDA downloads page for latest versions.

Let's download and save them on the Desktop.

32 bit :

cd ~/Desktop
wget http://developer.download.nvidia.com/compute/cuda/4_2/rel/toolkit/cudatoolkit_4.2.9_linux_32_fedora14.run
wget http://developer.download.nvidia.com/compute/cuda/4_2/rel/sdk/gpucomputingsdk_4.2.9_linux.run

64 bit :

cd ~/Desktop
wget http://developer.download.nvidia.com/compute/cuda/4_2/rel/toolkit/cudatoolkit_4.2.9_linux_64_fedora14.run
wget http://developer.download.nvidia.com/compute/cuda/4_2/rel/sdk/gpucomputingsdk_4.2.9_linux.run

Installation of CUDA Toolkit

Go to "Desktop", add execution permissions of the cudatoolkit downloaded file, and execute it with root permissions:

cd ~/Desktop
chmod +x cudatoolkit_4.2.9_linux_*
su -c './cudatoolkit_4.2.9_linux_*'

When it asks you:

Enter install path (default /usr/local/cuda, '/cuda' will be appended):

type:

/opt

Installation of GPU Computing SDK

As before, go to "Desktop", add execution permissions of the gpucomputingsdk downloaded file, and execute it without root permissions:

cd ~/Desktop
chmod +x gpucomputingsdk_4.2.9_linux.run
./gpucomputingsdk_4.2.9_linux.run

When it asks you:

Enter install path (default ~/NVIDIA_GPU_Computing_SDK):

press [enter] (to use default path)

When it asks you:

Enter CUDA install path (default /usr/local/cuda):

type

/opt/cuda

Preparation

Executable search path

Extend the executable search path to include CUDA executables:

export PATH=$PATH:/opt/cuda/bin

To make this permanent, modify your ~/.bashrc (modifying ~/.bash_profile will cause the path to be extended for the login shell only):

echo 'export PATH=$PATH:/opt/cuda/bin' >> ~/.bashrc

Library search path

Extend the library search path to include CUDA libraries:

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/cuda/lib:/opt/cuda/lib64

To make this permanent, modify your ~/.bashrc:

echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/cuda/lib:/opt/cuda/lib64' >> ~/.bashrc

Or more correctly, add entries to /etc/ld.so.conf.d/, then run ldconfig once:

su -c 'echo "/opt/cuda/lib" > /etc/ld.so.conf.d/nvidia-cuda.conf; echo "/opt/cuda/lib64" > /etc/ld.so.conf.d/nvidia-cuda64.conf ; ldconfig'

If you later want to check whether any of your programs need something that isn't there, run this command in the relevant directory:

find . -exec file --mime '{}' ';' | grep 'application/x-executable' | cut --fields=1 --delimiter=':' | xargs ldd | grep 'not found'

Compilation

Fedora 16

We finally compile:

32bits:

cd ~/NVIDIA_GPU_Computing_SDK/C
LINKFLAGS=-L/usr/lib/nvidia/ make

64bits:

cd ~/NVIDIA_GPU_Computing_SDK/C
LINKFLAGS=-L/usr/lib64/nvidia/ make

Fedora 17

Some compatibility problems appeared with gcc-4.7. You will have to install a compatibility version:

su -c 'yum install compat-gcc-34 compat-gcc-34-c++'

Create a symbolic link to make CUDA use gcc-3.4:

su -c 'ln -s /usr/bin/gcc34 /opt/cuda/bin/gcc'

Now, you can compile.

32bits:

cd ~/NVIDIA_GPU_Computing_SDK/C
LINKFLAGS=-L/usr/lib/nvidia/ make cuda-install=/opt/cuda

64bits:

cd ~/NVIDIA_GPU_Computing_SDK/C
LINKFLAGS=-L/usr/lib64/nvidia/ make cuda-install=/opt/cuda

Test

Now, let's test if CUDA is working correctly. Type:

~/NVIDIA_GPU_Computing_SDK/C/bin/linux/release/fluidsGL

You should see something like this on the command line:

[fluidsGL] starting...

[fluidsGL] - [OpenGL/CUDA simulation] starting...
   OpenGL device is Available
CUDA device [GeForce GT 610] has 1 Multi-Processors

A window with a fluid dynamics simulation should appear. Use the mouse pointer to generate some activity:

Now we can use GPUGRID applications with BOINC.

There are additional test programs underneath ~/NVIDIA_GPU_Computing_SDK/C/bin/linux/release/.

If the following error message appears:

[fluidsGL]
starting...                               

[fluidsGL] - [OpenGL/CUDA simulation]
starting...
   OpenGL device is NOT Available, [fluidsGL] exiting...
[fluidsGL] test results...                
WAIVED                                          

You are probably running the application as a user that does not currently have access to the display.

Cleanup

Now that CUDA has been installed, the installers files are useless. You can remove them:

cd ~/Desktop
rm cudatoolkit_4.2.9_linux_*
rm gpucomputingsdk_4.2.9_linux.run

Uninstallation

If you want to totally remove Cuda, juste delete the /opt/cuda and ~/NVIDIA_GPU_Computing_SDK folders:

rm -r ~/NVIDIA_GPU_Computing_SDK
su -c 'rm -r /opt/cuda'

and remove the export PATH=$PATH:/opt/cuda/bin and export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/cuda/lib:/opt/cuda/lib64 lines of the ~/.bash_profile file.

Useful links

• http://developer.nvidia.com/cuda-toolkit
• http://developer.download.nvidia.com/compute/DevZone/docs/html/C/doc/CUDA_Getting_Started_Linux.pdf