Nvidia Cuda安装指南

1. 检查是否存在显卡信息, 检查nvidia

$ lspci | grep -i nvidia

输出结果类似的情况如下：

02:00.0 3D controller: NVIDIA Corporation Device 1b38 (rev a1)
04:00.0 3D controller: NVIDIA Corporation Device 1b38 (rev a1)
83:00.0 3D controller: NVIDIA Corporation Device 1b38 (rev a1)
84:00.0 3D controller: NVIDIA Corporation Device 1b38 (rev a1)


检查os的版本信息

uname -m && cat /etc/*release

输出结果类似：

x86_64
CentOS Linux release 7.2.1511 (Core)
NAME="CentOS Linux"
VERSION="7 (Core)"
ID="centos"
ID_LIKE="rhel fedora"
VERSION_ID="7"
PRETTY_NAME="CentOS Linux 7 (Core)"
ANSI_COLOR="0;31"
CPE_NAME="cpe:/o:centos:centos:7"
HOME_URL="https://www.centos.org/"
BUG_REPORT_URL="https://bugs.centos.org/"

CENTOS_MANTISBT_PROJECT="CentOS-7"
CENTOS_MANTISBT_PROJECT_VERSION="7"
REDHAT_SUPPORT_PRODUCT="centos"
REDHAT_SUPPORT_PRODUCT_VERSION="7"

CentOS Linux release 7.2.1511 (Core)
CentOS Linux release 7.2.1511 (Core)

检查是否存在gcc

gcc –version

输出结果类似：

gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
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.

安装内核header信息

uname -r 获取os版本
sudo yum install kernel-devel- (uname−r)kernel−headers− ( u n a m e − r ) k e r n e l − h e a d e r s − (uname -r) 安装header

下载cuda toolkit安装包

download cuda-repo-rhel7-8.0.61-1.x86_64.rpm from the following url:
这里的是由于需要下载8.0的版本，目前最新的是9.1的版本。

参考资料： https://developer.nvidia.com/cuda-80-ga2-download-archive
下载最新的cuda-toolkit ， 请参阅：
https://developer.nvidia.com/cuda-downloads

然后安装，并更新cache

sudo rpm -i cuda-repo-rhel7-8.0.61-1.x86_64.rpm
sudo yum clean all

配置代理[optional]

vi /etc/yum.conf

在文件中新增：

proxy=http://192.168.1.1:8888

之后执行该配置文件：

source /etc/yum.conf
yum update

安装前置条件

yum install epel-release
yum install dkms

检查cuda是否在yum repository中

yum list | grep cuda

一般的输出结果为：

cuda-8-0.x86_64                           8.0.61-1                     @cuda    
cuda-command-line-tools-8-0.x86_64        8.0.61-1                     @cuda    
cuda-core-8-0.x86_64                      8.0.61-1                     @cuda    
cuda-cublas-8-0.x86_64                    8.0.61.2-1                   @cuda    
cuda-cublas-dev-8-0.x86_64                8.0.61.2-1                   @cuda    
cuda-cudart-8-0.x86_64                    8.0.61-1                     @cuda    
cuda-cudart-dev-8-0.x86_64                8.0.61-1                     @cuda    
cuda-cufft-8-0.x86_64                     8.0.61-1                     @cuda    
cuda-cufft-dev-8-0.x86_64                 8.0.61-1                     @cuda    
cuda-curand-8-0.x86_64                    8.0.61-1                     @cuda    
cuda-curand-dev-8-0.x86_64                8.0.61-1                     @cuda    
cuda-cusolver-8-0.x86_64                  8.0.61-1                     @cuda    
cuda-cusolver-dev-8-0.x86_64              8.0.61-1                     @cuda    
cuda-cusparse-8-0.x86_64                  8.0.61-1                     @cuda    
cuda-cusparse-dev-8-0.x86_64              8.0.61-1                     @cuda    
cuda-demo-suite-8-0.x86_64                8.0.61-1                     @cuda    
cuda-documentation-8-0.x86_64             8.0.61-1                     @cuda    
cuda-driver-dev-8-0.x86_64                8.0.61-1                     @cuda    
cuda-drivers.x86_64                       390.30-1                     @cuda    
cuda-license-8-0.x86_64                   8.0.61-1                     @cuda    
cuda-misc-headers-8-0.x86_64              8.0.61-1                     @cuda    
cuda-npp-8-0.x86_64                       8.0.61-1                     @cuda    
cuda-npp-dev-8-0.x86_64                   8.0.61-1                     @cuda    
cuda-nvgraph-8-0.x86_64                   8.0.61-1                     @cuda    
cuda-nvgraph-dev-8-0.x86_64               8.0.61-1                     @cuda    
cuda-nvml-dev-8-0.x86_64                  8.0.61-1                     @cuda    
cuda-nvrtc-8-0.x86_64                     8.0.61-1                     @cuda    
cuda-nvrtc-dev-8-0.x86_64                 8.0.61-1                     @cuda    
cuda-repo-rhel7.x86_64                    8.0.61-1                     installed
cuda-runtime-8-0.x86_64                   8.0.61-1                     @cuda    
cuda-samples-8-0.x86_64                   8.0.61-1                     @cuda    
cuda-toolkit-8-0.x86_64                   8.0.61-1                     @cuda    
cuda-visual-tools-8-0.x86_64              8.0.61-1                     @cuda 
..............

进行cuda安装，选取特定的版本：

sudo yum install cuda-8-0.x86_64

配置环境变量[optional]

vi /etc/profile
在文件中新增：

export PATH=/usr/local/cuda-8.0/bin/:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64:$LD_LIBRARY_PATH


生效配置信息：

source /etc/profile

检查环境变量是否生效：

echo $PATH

重启机器 [optional]

reboot now

重启机器是为了让各种配置生效，比如docker之类。比如碰到了如下错误信息：

46c1799eafe28c759582c5a60ded455d484d375e9e378b7c62d82bf8cf802e54
docker: Error response from daemon: driver failed programming external connectivity on endpoint adoring_yalow (e1f53253a8c0a5590d0767a54fd6be4c05a1351ca1033cad5bddd5c495f888e2): iptables failed: iptables --wait -t nat -A DOCKER -p tcp -d 0/0 --dport 9010 -j DNAT --to-destination 192.168.0.2:9010 ! -i docker0: iptables: No chain/target/match by that name.
 (exit status 1).

总结

其中碰到了N多问题，不过这也是一个非常好的锻炼，发现问题，解决问题。