ferrouswheel

# Why would you do this?
# Well, perhaps you have a VPN to A, and A can access B but you can't access B directly.
# Assuming a and b are hosts in the domain example.com. Add the below to ~/.ssh/config on
# your local machine. 

Host b.example.com
  ProxyCommand ssh -q a.example.com nc -q0 b.example.com 22


# If you have another host that only b can access, you can also chain through that!

ferrouswheel

#!/usr/bin/env bash

set -e

# Installation script for Cuda and drivers on Ubuntu 14.04, by Roelof Pieters (@graphific)
# BSD License
if [ "$(whoami)" == "root" ]; then
  echo "running as root, please run as user you want to have stuff installed as"
  exit 1
fi

ferrouswheel

#!/usr/bin/env bash

set -e

# Test script for checking if Cuda and Drivers correctly installed on Ubuntu 14.04, by Roelof Pieters (@graphific)
# BSD License

if [ "$(whoami)" == "root" ]; then
  echo "running as root, please run as user you want to have stuff installed as"
  exit 1

ferrouswheel

#!/usr/bin/env bash
# Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific)
# BSD License

orig_executor="$(whoami)"
if [ "$(whoami)" == "root" ]; then
  echo "running as root, please run as user you want to have stuff installed as"
  exit 1
fi
###################################

ferrouswheel

"""
A script to run on a Windows 7 host after installing the Access redistributable:

http://www.microsoft.com/en-nz/download/details.aspx?id=13255

Install Python 2.7, and then pyodbc from:

http://code.google.com/p/pyodbc/

The script dumps all tables to a dictionary and pickles it. The dictionary has a key for each table name, each value is a dictionary that has the following keys.

ferrouswheel

<!-- Assume spreadsheets is a django pagination object and pages is an iterable of page numbers to display -->
<!-- Note: this doesn't preserve GET parameters or hash fragments -->

<div class="pagination">
  <ul>
  {% if spreadsheets.has_previous %}
    <li><a href="?page={{ spreadsheets.previous_page_number }}">&laquo;</a></li>
  {% else %}
    <li class="disabled"><a href="?page={{ spreadsheets.previous_page_number }}">&laquo;</a></li>
  {% endif %}

ferrouswheel

#!/usr/bin/env python                                                                                                                                                                     
# gpu_stat.py [DELAY [COUNT]]                                                                                                                                                             
# dump gpu stats as a line of json                                                                                                                                                        
# {"time": 1474168378.146957, "pci_tx": 146000, "pci_rx": 1508000,                                                                                                                        
#     "gpu_util": 42, "mem_util": 24, "mem_used": 11710,                                                                                                                                  
#     "temp": 76, "fan_speed": 44 }                                                      

ferrouswheel

#!/bin/bash

resolve_path() {
    # From https://github.com/keen99/shell-functions/tree/master/resolve_path
    #I'm bash only, please!
    # usage:  resolve_path <a file or directory>
    # follows symlinks and relative paths, returns a full real path
    #
    local owd="$PWD"
    #echo "$FUNCNAME for $1" >&2

ferrouswheel

#!/bin/bash

# Destination must exist as empty repo on github
GIT_REPO="git@github.com:opencog/opencog.git"
TEMP_PATH=~/src/opencog_bzr_to_git
echo "Using $TEMP_PATH as working dir"
BRANCHES=(trunk UnityEmbodiment)

mkdir -p ${TEMP_PATH}
cd ${TEMP_PATH}

ferrouswheel

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm