我在 Linux Mint 上使用 NvidiaGraphicCard 时遇到问题。所以首先我下载了 Linux 的 cuda 库。驱动程序来自cudaNVIDIA-Linux-x86_64-352.39.run全部都已安装，但我有这个：当然
$glxgears
Xlib: extension "GLX" missing on display ":0.0".
Error: couldn't get an RGB, Double-buffered visual
来自 CUDA 的 DeviceQuery：
deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GTX 960M"
CUDA Driver Version / Runtime Version 7.5 / 7.5
CUDA Capability Major/Minor version number: 5.0
Total amount of global memory: 2048 MBytes (2147352576 bytes)
( 5) Multiprocessors, (128) CUDA Cores/MP: 640 CUDA Cores
GPU Max Clock rate: 1176 MHz (1.18 GHz)
Memory Clock rate: 2505 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 2097152 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
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: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
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): (2147483647, 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 = 7.5, CUDA Runtime Version = 7.5, NumDevs = 1, Device0 = GeForce GTX 960M
Result = PASS
英伟达-SMI：
Mon Oct 12 15:07:58 2015
+------------------------------------------------------+
| NVIDIA-SMI 352.39 Driver Version: 352.39 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 960M Off | 0000:01:00.0 Off | N/A |
| N/A 42C P0 N/A / N/A | 7MiB / 2047MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
lspci
filip@filip-laptop /usr/local/cuda-7.5/samples/1_Utilities/deviceQuery $ lspci -vnn | grep VGA -A 12
00:02.0 VGA compatible controller [0300]: Intel Corporation Broadwell-U Integrated Graphics [8086:1612] (rev 0a) (prog-if 00 [VGA controller])
Subsystem: Micro-Star International Co., Ltd. [MSI] Device [1462:1138]
Flags: bus master, fast devsel, latency 0, IRQ 46
Memory at a1000000 (64-bit, non-prefetchable) [size=16M]
Memory at b0000000 (64-bit, prefetchable) [size=256M]
I/O ports at 5000 [size=64]
Expansion ROM at <unassigned> [disabled]
Capabilities: <access denied>
Kernel driver in use: i915
00:03.0 Audio device [0403]: Intel Corporation Broadwell-U Audio Controller [8086:160c] (rev 0a)
Subsystem: Micro-Star International Co., Ltd. [MSI] Device [1462:1138]
Flags: bus master, fast devsel, latency 0, IRQ 50
Nvidia 设置：
You do not appear to be usin NVIDIA X driver....
跑步sudo nvidia-xconfig不起作用。
那么有什么建议吗？
答案1
由于您使用的是非常新的 GPU 硬件，建议使用最新的稳定驱动程序。
从专有 GPU 驱动程序 PPA 安装支持 GTX960 的最新稳定 NVIDIA 驱动程序。
在安装新驱动程序之前，请先卸载之前安装的所有 NVIDIA 相关软件。
打开终端并执行：
sudo apt-get purge nvidia*
sudo reboot
现在，通过执行以下命令从 NVIDIA 短期分支安装最新的当前稳定的 NVIDIA 驱动程序（因为您的笔记本电脑具有混合图形解决方案，请安装 NVIDIA Optimus 支持）：
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
sudo apt-get install nvidia-355 nvidia-prime
sudo reboot
要在 intel 和 nvidia 显卡之间切换 - 打开NVIDIA X 服务器设置->主要简介。
答案2
安装CUDA后我也遇到同样的问题。我首先省略了 CUDA NVIDIA 驱动程序安装，然后在其他方法中我安装了该驱动程序，但这些驱动程序都不起作用。
如果我安装 nvidia_355，OpenGL 可以工作，但 CUDA 不能。另一方面，如果我从 CUDA 安装驱动程序，OpenGL 将无法工作，而 CUDA 可以。
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