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I'm trying to make Cuda work with a second GPU that I have recently added to my workstation rig.

When I used to download and install Cuda in my computer, I had the Nvidia NVS 315 GPU. Now, I've added a Quadro P400 GPU, and I'm looking to install the latest Cuda version for it to leverage it for accelerated computing while running Deep Learning algorithms (Caffe2 for instance). However, I don't know what to start with.

Check the following outputs :

nvidia-smi

+-----------------------------------------------------------------------------+
| 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  NVS 315             Off  | 00000000:01:00.0 N/A |                  N/A |
| 30%   45C    P0    N/A /  N/A |    255MiB /   956MiB |     N/A      Default |
+-------------------------------+----------------------+----------------------+
|   1  Quadro P400         Off  | 00000000:05:00.0 Off |                  N/A |
| 34%   34C    P8   ERR! /  N/A |      1MiB /  1999MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0                    Not Supported                                       |
+-----------------------------------------------------------------------------+

nvcc --version

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2015 NVIDIA Corporation
Built on Tue_Aug_11_14:27:32_CDT_2015
Cuda compilation tools, release 7.5, V7.5.17

which nvcc

/usr/bin/nvcc

ldconfig -p | grep cuda

libnvToolsExt.so.1 (libc6,x86-64) => /usr/local/cuda-9.0/targets/x86_64-linux/lib/libnvToolsExt.so.1
libnvToolsExt.so (libc6,x86-64) => /usr/local/cuda-9.0/targets/x86_64-linux/lib/libnvToolsExt.so
libicudata.so.55 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libicudata.so.55
libicudata.so.55 (libc6) => /usr/lib/i386-linux-gnu/libicudata.so.55
libicudata.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libicudata.so
libcudart.so.9.0 (libc6,x86-64) => /usr/local/cuda-9.0/targets/x86_64-linux/lib/libcudart.so.9.0
libcudart.so.7.5 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so.7.5
libcudart.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so
libcuda.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so.1
libcuda.so.1 (libc6) => /usr/lib/i386-linux-gnu/libcuda.so.1
libcuda.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so
libcuda.so (libc6) => /usr/lib/i386-linux-gnu/libcuda.so

I want to make my algorithms select the second GPU (Quadro P400) for accelerated computing

YellowishLight
  • 580

1 Answers1

3

To answer my question, yes it's a mess (it was).

I completely removed Cuda by following the instructions found here (uninstalling cuda with its dependencies), then I installed Cuda 9.0 by following the instructions contained here (you can skip the uninstallation part if you did it properly before).

After that, in order to install the Cuda libraries within a virtual environment set by Conda and install within the Caffe2 library, I followed the following instructions:

conda install -c caffe2 caffe2-cuda9.0-cudnn7

YellowishLight
  • 580