Edit Info Other
Create account
Login
Howto/

CUDA

Installation

This Howto provides a way to install the official NVIDIA packages for CUDA.

Repository

This repository contains a given version of CUDA that is parallel installable along with another version.

Please use the Official link: https://developer.nvidia.com/cuda-downloads

Known issues

GCC version

When using a later version of Fedora than what is supported by the NVIDIA CUDA Official repository, you might be unable to compile. You can either:

sudo dnf install http://ftp.ciril.fr/pub/linux/centos/7.3.1611/extras/x86_64/Packages/centos-release-scl-2-2.el7.centos.noarch.rpm
sudo dnf install devtoolset-4-toolchain

You cannot install the whole devtoolset-4 collection, but the toolchain is enough , then each time you need to build using cuda, you start by

scl run devtoolset-4 bash
gcc --version
gcc (GCC) 5.2.1 20150902 (Red Hat 5.2.1-2)
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE
exit
gcc --version
gcc (GCC) 7.1.1 20170622 (Red Hat 7.1.1-3)
Copyright (C) 2017 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

Which driver Package

Both "Cuda" and "RPM Fusion" repositories provide the nvidia driver packages. Usually, the package provided by RPM Fusion is higher. But in case you want to avoid the risk, add this.

#/etc/yum.repos.d/cuda.repo
[cuda]
name=cuda
...
exclude=xorg-x11-drv-nvidia\*,akmod-nvidia\*

Nvidia provided libOpenCL

Nvidia only advertise OpenCL 1.2 with the binary driver at this time. As a consequence, they provide an old version of libOpenCL.so.1 which works fine with their binary driver. As most software in Fedora and RPM Fusion are built using a newer libOpenCL, the system linker detects that and issues the following message:

 /usr/local/cuda-8.0/targets/x86_64-linux/lib/libOpenCL.so.1: no version information available (required by ffmpeg)

You can either ignore the message or manually delete the libOpenCL.so.1 provided by Nvidia (run sudo ldconfig once delted). Please verify to not have other OpenCL providers that might interfere with NVIDIA OpenCL usage. (looking at /etc/OpenCL/vendors ).

References


CategoryHowto

Howto/CUDA (last edited 2017-06-28 16:51:32 by NicolasChauvet)