Ubuntu installation 14.4
1. make a USB copy;
2. install ubuntu with USB (most of the system should be
able to automatically boot from USB in fresh installation). If not, change the
boot order in DOS. To get intot he DOS, press 'del' or 'f1' or others.
3. after installation, make sure that the hard driver (where
the ubuntu is installed) is rank the first in the boot order in DOS.
4. make sure the user
account is used, otherwise all data in guest account will be eliminated after
each rebooting.
GPU driver – CUDA 7.5 installation
post 1:
post 2:
post 3:
Confirmation
of the environment –
1.
lspci | grep -i nvidia
(Confirm that the information of NVIDIA's board is displayed)
2.
uname -m (make
sure that it is a x86_64)
3.
gcc --version
(make sure it is installed)
Installation
of CUDA –
NOTE:
In the .run file, GPU card drivers are
included. So before this installation, remove all previously installed nvidia
related softwares by [post 3] or section 2.7 in [post 1].
2.
Run the following command –
a. sudo
apt-get install build-essential
b. sudo vi
/etc/modprobe.d/blacklist-nouveau.conf
c.
Then, add the following line in that file:
NOTE:
when copy following two lines into the TCL window, make sure the completeness
and there are no space in front of each line!
NOTE: use 'sudo vi' to edit; 'esc' or 'I' to change
between command and insert mode; in command
mode, use ':wq', ':q' or ':wq!' to save and quite, quite without save and quite/save/ignore warnings.
blacklist nouveau
options nouveau modeset=0
d. sudo
update-initramfs -u(If it fails, check NOTES above)
3.
Reboot computer
4.
At login screen, press Ctrl+Alt+F1and login to your
user.
5.
Go to the directory where you have the CUDA
driver, and run
a. chmod
a+x .
b. sudo
service lightdm stop
c. sudo
bash cuda-7.5.18_linux.run --no-opengl-libs
6.
During the install –
a. Accept EULA conditions
b. Say
YES to installing the NVIDIA driver
c. Say YES to installing CUDA
Toolkit + Driver
d. Say YES to installing CUDA Samples
e. Say NO rebuilding any Xserver
configurations with Nvidia
7.
Check if /dev/nvidia*
files exist. If they don't, do the following –
a. sudo
modprobe nvidia
Note: if failed, try the section 4.4 in [post 1] to
manually make a nvida* file in '/dev/nvidia*' with shown contents there.
8.
Set Environment path variables –
a. export
PATH=/usr/local/cuda-7.5/bin:$PATH
b. export
LD_LIBRARY_PATH=/usr/local/cuda-7.5/lib64:$LD_LIBRARY_PATH
9.
Verify the driver version –
a. cat
/proc/driver/nvidia/version
Note: if showing 'no such folder/file
exist', it may mean the driver is not installed correctly. And because this
failure, the 13.d and 13.e in this doc will absolutely fail. To resolve this,
see section [Driver re-installation] in this doc.
10.
Check CUDA driver version
a. nvcc –V
11.
Switch the lightdm back on again
a. sudo
service lightdm start
12.
Ctrl+Alt+F7 and login to the
system through GUI
13.
Create CUDA Samples –
a. Go to NVIDIA_CUDA-7.5_Samples
folder through terminal
b. make
c. cd
bin/x86_64/linux/release/
d. ./deviceQuery
e. ./bandwidthTest
NOTE: if d. and e. fail, refer to section [Driver
re-installation] in this doc.
f. Both tests should ultimately
output a 'PASS' in terminal
14.
Reboot the system
Driver re-installation
The way here is to remove the previously
installed driver and reinstalled it
again:
1. remove the GPU driver: according to
[post 3];
2. install the driver according to [post
3];
3. reboot;
4. At login screen, press Ctrl+Alt+F1 and login to your user.
5. Set Environment path variables
–
a. export
PATH=/usr/local/cuda-7.5/bin:$PATH
b. export
LD_LIBRARY_PATH=/usr/local/cuda-7.5/lib64:$LD_LIBRARY_PATH
6. Verify the driver version –
a. cat
/proc/driver/nvidia/version
7. Check CUDA driver version
a. nvcc –V
8. Ctrl+Alt+F7 and login to the
system through GUI
9. Create CUDA Samples –
Note:
do a. and b. only when they are not done before. Otherwise, go to c. directly.
a. Go to NVIDIA_CUDA-7.5_Samples
folder through terminal
b. make
c. cd
bin/x86_64/linux/release/
d. ./deviceQuery
e.
./bandwidthTest
----------------
some useful commands for nvidia:
nvidia-settings: see what GPU is
installed;
nvidia-smi: see what GPU is running
and their loads/usage.
CuDNN INSTALL
1. down load the correct file: “cuDNN v5 Library for Linux”. Not 'runtime'
or 'developer library' for Ubuntu.
2. install follow this link:
nice blog
ReplyDeletepython training