nvida gpu driver install

环境

ubuntu:16.04 sever
gpu:tesla p100-pcie

安装cuda8.0对应驱动

进入nvidia driver官网，不要按照备注安装，因为我们需要配置安装参数。

wget http://us.download.nvidia.com/XFree86/Linux-x86_64/384.66/NVIDIA-Linux-x86_64-384.66.run
sudo ./NVIDIA-Linux-x86_64-384.66.run --ui=none --no-questions --accept-license --disable-nouveau --no-opengl-files
nvidia-smi 
Sun Sep 30 16:23:15 2018       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.66                 Driver Version: 384.66                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:09.0 Off |                    0 |
| N/A   35C    P0    26W / 250W |      0MiB / 12193MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

安装cuda8.0

进入官网下载

wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run
wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/patches/2/cuda_8.0.61.2_linux-run  ##补丁
sudo ./cuda_8.0.61_375.26_linux-run
sudo ./cuda_8.0.61.2_linux-run

过程中不安装cuda带的驱动，其他yes，同时指定sample例子路径

测试例子

cd NVIDIA_CUDA-8.0_Samples/0_Simple/matrixMul
make
./matrixMul
[Matrix Multiply Using CUDA] - Starting...
GPU Device 0: "Tesla P100-PCIE-12GB" with compute capability 6.0

MatrixA(320,320), MatrixB(640,320)
Computing result using CUDA Kernel...
done
Performance= 358.04 GFlop/s, Time= 0.366 msec, Size= 131072000 Ops, WorkgroupSize= 1024 threads/block
Checking computed result for correctness: Result = PASS

NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.

执行ok，代表驱动正确安装