I have installed CUDA 8.0 on my desktop running Ubuntu 16.04 with a GTX 1060 3GB. All of the samples work except for any that use openGL.
Because of issues I was getting with login loops, the way I installed CUDA was by first installing the NVIDIA 384.111 drivers via the runfile with --no-opengl-files set, then CUDA 8.0 also via the runfile without installing the drivers.
After installing I followed the guide and installed the extra libraries:
$sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev
Currently whenever I try to run samples that use openGL, I get: code=46(cudaErrorDevicesUnavailable).
Answers to this problem have all been related to the user having onboard graphics and the openGL context not being created on the GPU:
https://devtalk.nvidia.com/default/topic/935085/cuda-setup-and-installation/error-code-46-devices-unavailable-with-cuda-7-5-samples-on-windows-8-1/
https://devtalk.nvidia.com/default/topic/1024731/cuda-9-0-samples-error/
https://devtalk.nvidia.com/default/topic/1010103/runtime-cuda-error-sample-fluidsgl/
However, my display is being managed by the GPU since I don’t even have onboard graphics.
Here is the output of nvidia-smi:
Mon Jan 15 13:52:00 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.111 Driver Version: 384.111 |
|-------------------------------+----------------------+----------------------+
| 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 106... Off | 00000000:09:00.0 On | N/A |
| 0% 51C P0 29W / 120W | 148MiB / 3010MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1153 G /usr/lib/xorg/Xorg 146MiB |
+-----------------------------------------------------------------------------+
And deviceQuery:
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GTX 1060 3GB"
CUDA Driver Version / Runtime Version 9.0 / 8.0
CUDA Capability Major/Minor version number: 6.1
Total amount of global memory: 3011 MBytes (3157000192 bytes)
( 9) Multiprocessors, (128) CUDA Cores/MP: 1152 CUDA Cores
GPU Max Clock rate: 1835 MHz (1.84 GHz)
Memory Clock rate: 4004 Mhz
Memory Bus Width: 192-bit
L2 Cache Size: 1572864 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 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 2 copy engine(s)
Run time limit on kernels: Yes
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 / 9 / 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 GTX 1060 3GB
Result = PASS
Also,
$ lspci | grep VGA
09:00.0 VGA compatible controller: NVIDIA Corporation Device 1c02 (rev a1)
Thanks
EDIT:
Also it might be worth mentioning that I am able to run openGL code without CUDA.