Ubuntu_Server_Setting

Ubuntu_Desktop GUI install

sudo apt-get update -y
sudo apt-get upgrade -y
sudo apt-get install ubuntu-desktop ssh -y

Install Usefull library

sudo python3 -m pip install --upgrade pip&&
sudo python3 -m pip install -U numpy &&
sudo python3 -m pip install -U matplotlib&&
sudo python3 -m pip install -U pandas&&
sudo python3 -m pip install -U scipy&&
sudo python3 -m pip install -U scikit-learn&&
sudo python3 -m pip install -U jupyter&&
sudo python3 -m pip install -U cython

Install Usefull Utility

sudo apt-get install python-pip python3-pip  python-dev python3-dev python3-numpy python-numpy git vim curl wget cmake build-essential tmux htop unzip locales

Install NVIDIA_Driver

# Add graphic driver repository
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update -y

# Check available driver version
apt-cache search nvidia

# Install driver
sudo apt-get install nvidia-driver-<version>
sudo reboot

# Checking installed driver
nvidia-smi

Install CUDA

1. Install from https://developer.nvidia.com/cuda-downloads
2. Add CUDA PATH in ~/.profile and /etc/environment

• ~/.profile

# set PATH for CUDA installation
if [ -d "/usr/local/cuda/bin/" ]; then
    export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}
    export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
fi

• /etc/environment

PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/local/cuda/bin"

3. Apply changes

source ~/.profile
source /etc/environment

# or
sudo reboot

Install CUDNN

1. Install from https://developer.nvidia.com/cudnn

Setting Jupyter_Notebook

1. Install Jupyter_Notebook

sudo pip3 install jupyter

2. Generate Config file

jupyter notebook --generate-config

3. Modify Config file

vim ~/.jupyter/jupyter_notebook_config.py
# c.NotebookApp.ip
# c.NotebookApp.open_browser
# c.NotebookApp.password
# c.NotebookApp.port

4. Add scripts in /etc/rc.local

• /etc/rc.local

su <username> -c "jupyter notebook --config=/location/of/your/config/file/.jupyter/jupyter_notebook_config.py --no-browser --notebook-dir=/location/of/yournotebooks" &

Install Jupyter_HUB

1. Install Jupyter_HUB

curl https://raw.githubusercontent.com/jupyterhub/the-littlest-jupyterhub/master/bootstrap/bootstrap.py | sudo -E python3 - --admin \<admin-user-name>

2. Modify config file as writing config.yaml

sudo su
vim /opt/tljh/config/config.yaml
sudo tljh-config reload

3. Additional information of Jupyter_HUB https://github.com/jupyterhub/the-littlest-jupyterhub

Mounting hard disk

1. Check UUID

sudo blkid

2. Add directory for mounting

sudo mkdir -p /<name of directory>

3. Add information in /etc/fstab

sudo vim /etc/fstab

• /etc/fstab

UUID=<UUID of hard disk> <directory for mounting> <file system> <options> <dump setting> <file confirm option>
# Example
UUID=f5a90ae5-f49d-4d7d-8ab7-d1050ef911e9 /hdd1 ext4 defaults 0 0

4. Mount hard disk

sudo mount -a

5. Checking mounted hard disk lists

df -h

Useful commands

• Checking share of CPU and DRAM

htop

• Checking storage of disks

df -h

• Checking OS information

lsb_release -a

• Checking CPU model information

cat /proc/cpuinfo | grep CPU | head -1

• Checking CPU core numbers

cat /proc/cpuinfo | grep CPU | wc -l

• Checking Network information

ifconfig

Server Stress test

• CPU

sudo apt-get install stress-ng stress -y
stress -c <number of cores> --io 4 --hdd 1 --hdd-bytes 1024m -t 36000m --vm-bytes $(awk '/MemFree/{printf "%d\n", $2 * 0.097;}' < /proc/meminfo)k --vm-keep -m 10

• GPU

CUDA_VISIBLE_DEVICES=0 python3 gpu_test.py &
CUDA_VISIBLE_DEVICES=1 python3 gpu_test.py &
CUDA_VISIBLE_DEVICES=2 python3 gpu_test.py &
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