UbuntuCleanSetup

Ubuntu 18.04 (Use third party)

1) Update the system (if not updated you might face issues while trying to install a new program). Can do it by:
   Software Updater (app)
   $ sudo apt-get update
   $ sudo apt-get upgrade
   
2) Basic packages:
   $ sudo apt-get install build-essential cmake git vim openjdk-11-jdk
   
3) Basic programs:
   chrome
   pycharm
   eclipse
   sublime
   anaconda3
   
4) CUDA
   First install graphic card driver (Nvidia GeoForce Rtx 2080 ti)
   (.run installers from nvidia driver download webpage do not work, use Nvidia driver PPA homepage instead)
   $ sudo apt-get purge nvidia*
   $ sudo add-apt-repository ppa:graphics-drivers/ppa
   $ sudo apt-get update
   (find the supported version for your graphic card, can use nvidia driver download webpage to find out - using version 418)
   (https://www.nvidia.com/Download/index.aspx)
   $ sudo apt-get install nvidia-driver-418
   reboot
   (test installation)
   $ nvidia-settings
   $ nvidia-smi
   (if everything is correct, graphic card is recognized, continue with cuda)
   
   *https://medium.com/@avinchintha/how-to-install-nvidia-drivers-and-cuda-10-0-for-rtx-2080-ti-gpu-on-ubuntu-16-04-18-04-ce32e4edf1c0 (did not work for me)
   *https://devtalk.nvidia.com/default/topic/1032882/nvidia-settings-error-unable-to-load-info-from-any-available-system/?offset=17 (worked for me, comment 20)
   
   Install CUDA toolkit
   (download debian cuda-toolkit installer from nvidia CUDA download webpage - using version 10.1)
   (https://developer.nvidia.com/cuda-downloads)
   $ sudo dpkg -i cuda-repo-ubuntu1804-10-1-local-10.1.105-418.39_1.0-1_amd64.deb
   $ sudo apt-key add /var/cuda-repo-10-1-local-10.1.105-418.39/7fa2af80.pub
   $ sudo apt-get update
   $ sudo apt-get install cuda
   reboot
   (set up variables)
   $ export PATH=/usr/local/cuda-10.1/bin${PATH:+:${PATH}}
   $ export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
   (install writable copy of cuda samples)
   $ cuda-install-samples-10.1.sh ~
   $ cd ~/NVIDIA_CUDA-10.1_Samples/
   $ make
   (test installation)
   $ cd ~/NVIDIA_CUDA-10.1_Samples/5_Simulations/nbody
   $ ./nbody
   $ cd ~/NVIDIA_CUDA-10.1_Samples/1_Utilities/deviceQuery
   $ ./deviceQuery
   
   *https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#package-manager-installation
   *https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html#ubuntu-x86_64-deb
   
5) Tensorflow for GPU
   (conda makes it easy, needs graphic card driver first)
   $ conda create --name GPU
   $ activate GPU
   $ conda install tensorflow-gpu
   (test)
   $ python3
   >>> import tensorflow as tf
   >>> sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
   
   *https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc

6) Basic utilities
   CPU temperature
   * https://itsfoss.com/check-laptop-cpu-temperature-ubuntu/
   DOCK (Mac style)
   * http://ubuntuhandbook.org/index.php/2018/05/replace-left-panel-dock-launcher-ubuntu-18-04/
   Horizontal workspaces
   * https://askubuntu.com/questions/1040075/can-i-have-rectangular-grid-workspace-in-ubuntu-18-04