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#include <stdio.h>
#include <stdlib.h>

#include <GL/glut.h>
#define GLUT_KEY_ESCAPE 27
#ifndef GLUT_WHEEL_UP
#define GLUT_WHEEL_UP 3
#define GLUT_WHEEL_DOWN 4
#endif

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A quick overview of how to run longjob on DICE - here, focusing on opening a jupyter notebook for a long period of time (28days)

Setup

1. ssh through the network gateway: ssh [email protected], and into any compute server you wish to use.
2. create a screen so that it doesnt kill the process after you log out:

$ screen -S <session-name> # name the screen session
$ screen -S mlp (e.g) 

This opens a new screen terminal (more on screen here)

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There is no guarantee that this will work, i wrote this so in case anyone else have the same goal in mind. Using: Ubuntu 16.04; miniconda2

What i want to achieve:

1. use graph-tool
2. all other packages should fall in a virtual environment

Failed attempts:

1. I attempted to build graph-tool from scratch but did not work, and couldnt seem to pull everything together.
2. Attempt to use all the graph-tool packages on anaconda cloud... (idgi)

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#!/bin/sh
# IPFW Configuration file for part2a:

pwd
echo 'Creating networks for task 2A'
echo 'For each propagation delay (5, 25, 100ms), pipe config with plr 0.005 and bw 10MBit/s'
ipfw flush
ipfw add pipe 100 in
ipfw add pipe 200 out

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from bs4 import BeautifulSoup
import urllib
import os

# define the link to scrap from:
mainLink = 'http://www.cs.cmu.edu/~aarti/Class/10701_Spring14/lecs.html'
link = urllib.urlopen(mainLink)
# ext = '.pdf'

# use bs4 to download all the files with .pdf extension