1.下载 cuda.xxx.run 文件
从https://developer.nvidia.com/cuda-downloads，下载 cuda_9.1.85_387.26_linux.run文件
2.在终端运行该条指令即可:
$ sudo sh cuda_9.1.85_387.26_linux.run --no-opengl-libs
之后是一些提示信息,ctrl+c 直接结束后输入 accept。
接下来很重要的地方是在提示是否安装显卡驱动时,一定选择 no(之前安装过对应显卡版本的驱动)
其他各项提示选择是,并默认安装路径即可。提示有 y 的输入 y,没有则按 enter 键。安装完毕。
之后声明一下环境变量,并将其写入到 ~/.bashrc 文件(在用户目录下)的尾部,输入内容如下
export PATH=/usr/local/cuda-9.1/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64:$LD_LIBRARY_PATH
保存退出,并输入下面指令使环境变量立刻生效:
$source ~/.bashrc
3.设置环境变量和动态链接库,在命令行输入:
$sudo vim /etc/profile
在打开的文件末尾加入:
export PATH=/usr/local/cuda/bin:$PATH
4.创建链接文件
$ sudo vim /etc/ld.so.conf.d/cuda.conf
在打开的文件中添加如下语句:
/usr/local/cuda/lib64
保存退出,然后执行
$ sudo ldconfig
使链接立即生效。
5.测试 cuda 的 Samples
切换到 CUDA 9.1 Samples 默认安装路径(即在/home/用户/ NVIDIA_CUDA-9.1_Samples 目录下), 终端下输入
$ cd NVIDIA_CUDA-9.1_Samples
$ sudo make all –j8
$ cd bin/x86_64/linux/release
$ ./deviceQuery
报错
$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
cudaGetDeviceCount returned 30
-> unknown error
Result = FAIL
查看显卡是否安装
$ nvidia-smi
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.
发现显卡驱动没有安装成功
而且nouveau禁用失败
$ lsmod | grep nouveau
nouveau 1601536 1
mxm_wmi 16384 1 nouveau
ttm 98304 1 nouveau
i2c_algo_bit 16384 2 nouveau,i915
drm_kms_helper 151552 2 nouveau,i915
drm 352256 14 nouveau,i915,ttm,drm_kms_helper
wmi 16384 2 mxm_wmi,nouveau
video 40960 3 thinkpad_acpi,nouveau,i915
这是需要重新禁用nouveau和安装显卡驱动
如果 CUDA 安装成功，则有：
$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GT 635M"
CUDA Driver Version / Runtime Version 9.0 / 8.0
CUDA Capability Major/Minor version number: 2.1
Total amount of global memory: 1985 MBytes (2081619968 bytes)
( 2) Multiprocessors, ( 48) CUDA Cores/MP: 96 CUDA Cores
GPU Max Clock rate: 950 MHz (0.95 GHz)
Memory Clock rate: 900 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 131072 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GT 635M
Result = PASS
6.卸载CUDA
在/usr/local/cuda/bin 目录下,有cuda 自带的卸载工具uninstall_cuda_9.1.pl
$ cd /usr/local/cuda/bin
$ sudo ./uninstall_cuda_9.1.pl
7.其他问题
查看NVIDIA GPU版本信息
$ lspci | grep -i nvidia
01:00.0 VGA compatible controller: NVIDIA Corporation GF108M [GeForce GT 635M] (rev a1)
验证自己的Linux版本是否支持 CUDA
$ uname -m && cat /etc/*release
x86_64
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=16.04
DISTRIB_CODENAME=xenial
DISTRIB_DESCRIPTION="Ubuntu 16.04.3 LTS"
NAME="Ubuntu"
VERSION="16.04.3 LTS (Xenial Xerus)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 16.04.3 LTS"
VERSION_ID="16.04"
HOME_URL="http://www.ubuntu.com/"
SUPPORT_URL="http://help.ubuntu.com/"
BUG_REPORT_URL="http://bugs.launchpad.net/ubuntu/"
VERSION_CODENAME=xenial
UBUNTU_CODENAME=xenial
查看正在运行的系统内核版本：
$ uname –r
4.10.0-28-generic
安装对应kernel版本的kernel header和package development
sudo apt-get install linux-headers-$(uname -r)
查看是否禁用了 nouveau驱动
lsmod | grep nouveau
如果有输出则代表nouveau正在加载。需要我们手动禁nouveau，Ubuntu的nouveau禁用方法前面提到过
参看链接：
http://blog.csdn.net/qlulibin/article/details/78714596
