Teknologisk videncenter - User contributions [en]

Installation af OpenCV

2014-11-04T10:40:53Z

JLA:

=OpenCV installation på Ubuntu 14.04=
'''Husk''' at du skal have installleret CUDA inden du starter på denne guide <br>
*[http://mars.tekkom.dk/mediawiki/index.php/Cluster_der_kan_alt/Installation_af_CUDA Installation af CUDA]

'''Updated guide for Ubuntu 14.04:'''

http://www.sysads.co.uk/2014/05/install-opencv-2-4-9-ubuntu-14-04-13-10/

'''The following doesn't work as it was never fully finished.'''
A complete version can be made though. As it should be nearly all commands needed.
Use above link for reference.

<code><pre>
#!/bin/sh
apt-get update
apt-get -qq remove -y ffmpeg x264 libx264-dev
apt-get install -y build-essential libgtk2.0-dev libjpeg62-dev libtiff4-dev libjasper-dev libopenexr-dev cmake python-dev python-numpy libtbb-dev libeigen2-dev yasm libfaac-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev
add-apt-repository -y ppa:mc3man/trusty-media
apt-get update
apt-get install ffmpeg gstreamer0.10-ffmpeg
#
echo "Creating a directory for installation"
mkdir ~/installdir/dl/opencv
echo "Downloading ffmpeg files"
dl_ffmpeg="/home/hpcadmin/installdir/"
if [ -f "/home/hpcadmin/installdir/dl/opencv/ffmpeg-0.10.15.tar.gz" ];
then
echo
else
wget ffmpeg.org/releases/ffmpeg-0.10.15.tar.gz ~/installdir/dl/opencv/
echo "Unpacking files...."
tar -xvzf ~/installdir/dl/opencv/ffmpeg-0.10.15.tar.gz
ffmpeg-0.10.15
echo "Configuring unpacked files..."
./configure --enable-gpl --enable-version3 --enable-nonfree --enable-postproc --enable-libfaac --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libxvid --enable-x11grab --enable-swscale --enable-shared
make
echo "Installing files and dependancies"
make install
fi

wget -c http://garr.dl.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.10/opencv-2.4.10.zip
unzip opencv-2.4.10.zip
cd opencv-2.4.10/
cmake -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=OFF -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON ..
echo "Still Working..."
make
echo "Installing openCV to your system, Please wait..."
make install
echo "Installation done, configuring system"
touch /etc/ld.so.conf.d/opencv.conf
sh -c 'echo "/usr/local/lib" >> /etc/ld.so.conf.d/opencv.conf'
echo "Reloading configuration files created."
ldconfig
sh -c 'echo "PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig" >>/etc/bash.bashrc'
sh -c 'echo "export PKG_CONFIG_PATH" >>/etc/bash.bashrc'
cp /usr/local/lib/python2.7/site-packages/cv.so /usr/local/lib/python2.7/dist-packages/cv.so
echo "Installation Done."
</pre></code>

'''OLD commands for Ubuntu 12.04:'''

=Kommandoer=

<source lang=cli>
sudo apt-get install build-essential cmake pkg-config
Install Image I/O libraries
</source>

<source lang=cli>
sudo apt-get install libjpeg62-dev libtiff4-dev libjasper-dev
Install the GTK dev library
</source>

<source lang=cli>
sudo apt-get install libgtk2.0-dev
Install Video I/O libraries
</source>

<source lang=cli>
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
Optional - install video streaming libraries
</source>

<source lang=cli>
sudo apt-get install libdc1394-22-dev libxine-dev libgstreamer0.10-dev
libgstreamer-plugins-base0.10-dev
Optional - install the Python development environment and the Python Numerical library
</source>

<source lang=cli>
sudo apt-get install python-dev python-numpy
Optional - install the parallel code processing library (the Intel tbb library)
</source>

<source lang=cli>
sudo apt-get install libtbb-dev
Optional - install the Qt dev library
</source>

<source lang=cli>
sudo apt-get install libqt4-dev
Now download OpenCV 2.4.2 to wherever you want to compile the source.
</source>

<source lang=cli>
mkdir xxx
cd xxx
wget <a href="http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.2/OpenCV-2.4.2.tar.bz2">http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.2/Op...</a>
tar -xvf OpenCV-2.4.2.tar.bz2
</source>

Opret en mappe med navnet build og konfigurere OpenCV med kommandoen cmake, du må ikke glemme at lave cmake kommandoen

<source lang=cli>
cd OpenCV-2.4.2
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local
-D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON
-D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON
-D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON ..
Now compile it
</source>

<source lang=cli>
make
And finally install OpenCV 2.4.2
</source>

<source lang=cli>
sudo make install
</source>

{{Source cli}}
[[Category:Cluster]][[Category:Ubuntu]]

Installation af OpenCV

2014-11-04T10:38:37Z

JLA:

=OpenCV installation på Ubuntu 14.04=
'''Husk''' at du skal have installleret CUDA inden du starter på denne guide <br>
*[http://mars.tekkom.dk/mediawiki/index.php/Cluster_der_kan_alt/Installation_af_CUDA Installation af CUDA]

'''Updated guide for Ubuntu 14.04:'''

http://www.sysads.co.uk/2014/05/install-opencv-2-4-9-ubuntu-14-04-13-10/

'''The following doesn't work as it was never fully finished.'''

<code><pre>
#!/bin/sh
apt-get update
apt-get -qq remove -y ffmpeg x264 libx264-dev
apt-get install -y build-essential libgtk2.0-dev libjpeg62-dev libtiff4-dev libjasper-dev libopenexr-dev cmake python-dev python-numpy libtbb-dev libeigen2-dev yasm libfaac-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev
add-apt-repository -y ppa:mc3man/trusty-media
apt-get update
apt-get install ffmpeg gstreamer0.10-ffmpeg
#
echo "Creating a directory for installation"
mkdir ~/installdir/dl/opencv
echo "Downloading ffmpeg files"
dl_ffmpeg="/home/hpcadmin/installdir/"
if [ -f "/home/hpcadmin/installdir/dl/opencv/ffmpeg-0.10.15.tar.gz" ];
then
echo
else
wget ffmpeg.org/releases/ffmpeg-0.10.15.tar.gz ~/installdir/dl/opencv/
echo "Unpacking files...."
tar -xvzf ~/installdir/dl/opencv/ffmpeg-0.10.15.tar.gz
ffmpeg-0.10.15
echo "Configuring unpacked files..."
./configure --enable-gpl --enable-version3 --enable-nonfree --enable-postproc --enable-libfaac --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libxvid --enable-x11grab --enable-swscale --enable-shared
make
echo "Installing files and dependancies"
make install
fi

wget -c http://garr.dl.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.10/opencv-2.4.10.zip
unzip opencv-2.4.10.zip
cd opencv-2.4.10/
cmake -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=OFF -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON ..
echo "Still Working..."
make
echo "Installing openCV to your system, Please wait..."
make install
echo "Installation done, configuring system"
touch /etc/ld.so.conf.d/opencv.conf
sh -c 'echo "/usr/local/lib" >> /etc/ld.so.conf.d/opencv.conf'
echo "Reloading configuration files created."
ldconfig
sh -c 'echo "PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig" >>/etc/bash.bashrc'
sh -c 'echo "export PKG_CONFIG_PATH" >>/etc/bash.bashrc'
cp /usr/local/lib/python2.7/site-packages/cv.so /usr/local/lib/python2.7/dist-packages/cv.so
echo "Installation Done."
</pre></code>

'''OLD commands for Ubuntu 12.04:'''

=Kommandoer=

<source lang=cli>
sudo apt-get install build-essential cmake pkg-config
Install Image I/O libraries
</source>

<source lang=cli>
sudo apt-get install libjpeg62-dev libtiff4-dev libjasper-dev
Install the GTK dev library
</source>

<source lang=cli>
sudo apt-get install libgtk2.0-dev
Install Video I/O libraries
</source>

<source lang=cli>
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
Optional - install video streaming libraries
</source>

<source lang=cli>
sudo apt-get install libdc1394-22-dev libxine-dev libgstreamer0.10-dev
libgstreamer-plugins-base0.10-dev
Optional - install the Python development environment and the Python Numerical library
</source>

<source lang=cli>
sudo apt-get install python-dev python-numpy
Optional - install the parallel code processing library (the Intel tbb library)
</source>

<source lang=cli>
sudo apt-get install libtbb-dev
Optional - install the Qt dev library
</source>

<source lang=cli>
sudo apt-get install libqt4-dev
Now download OpenCV 2.4.2 to wherever you want to compile the source.
</source>

<source lang=cli>
mkdir xxx
cd xxx
wget <a href="http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.2/OpenCV-2.4.2.tar.bz2">http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.2/Op...</a>
tar -xvf OpenCV-2.4.2.tar.bz2
</source>

Opret en mappe med navnet build og konfigurere OpenCV med kommandoen cmake, du må ikke glemme at lave cmake kommandoen

<source lang=cli>
cd OpenCV-2.4.2
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local
-D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON
-D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON
-D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON ..
Now compile it
</source>

<source lang=cli>
make
And finally install OpenCV 2.4.2
</source>

<source lang=cli>
sudo make install
</source>

{{Source cli}}
[[Category:Cluster]][[Category:Ubuntu]]

Installation af OpenCV

2014-11-04T10:28:56Z

JLA:

Installation af OpenCV

2014-11-04T10:28:26Z

JLA:

Cluster der kan alt/Configure NFS server, Apt cacher and SSH auto login

2014-11-04T10:15:47Z

JLA:

=NFS Server=
Installer NFS Server
<source lang=cli>
apt-get install nfs-kernel-server -y
</source>

Edit the exports file
<source lang=cli>
nano /etc/exports
</source>
Add this line at the bottom
<source lang=cli>
/home/ 10.0.0.0/24(rw,no_root_squash,no_subtree_check,async)
</source>

Export the new share
<source lang=cli>
exportfs
</source>
Restart the NFS server service
<source lang=cli>
service nfs-kernel-server restart
</source>

Enter the idmapd.conf file
<source lang=cli>
nano /etc/idmapd.conf
</source>
Change the domain to "Cluster"
<source lang=cli>
Domain = Cluster
</source>
Restart the idmapd service
<source lang=cli>
service idmapd restart
</source>

=apt-cacher=

'''Disregard of this manual for APT-CACHER for Ubuntu 14.04+ Use: apt-cacher-ng''' <br>
http://www.tecmint.com/apt-cache-server-in-ubuntu/

Install the apt-cacher program
<source lang=cli>
apt-get install apt-cacher
</source>

Enter the apt-cacher.conf file
<source lang=cli>
nano /etc/apt-cacher/apt-cacher.conf
</source>
Insert the following
<source lang=cli>
path_map = ubuntu de.archive.ubuntu.com/ubuntu; ubuntu-updates de.archive.ubuntu.com/ubuntu ; ubuntu-security security.ubuntu.com/ubuntu
allowed_hosts=*
</source>

Enter the apt-cacher file
<source lang=cli>
nano /etc/default/apt-cacher
</source>
set the autostart to 1
<source lang=cli>
AUTOSTART=1
</source>

Restart the apt-cacher service
<source lang=cli>
sudo /etc/init.d/apt-cacher restart
</source>

=Auto SSH login=
Make a crypto dsa(digital signature algorithm) key for the auto login
<source lang=cli>
ssh-keygen -t dsa
</source>
Copy the dsa key to the hidden /.ssh/ folder i the /home/<username> folder, which will be mounted on the nodes
<source lang=cli>
cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys
</source>
{{Source cli}}

Cluster der kan alt/Configure NFS server, Apt cacher and SSH auto login

2014-11-04T10:11:07Z

JLA:

=NFS Server=
Installer NFS Server
<source lang=cli>
apt-get install nfs-kernel-server -y
</source>

Edit the exports file
<source lang=cli>
nano /etc/exports
</source>
Add this line at the bottom
<source lang=cli>
/home/ 10.0.0.0/24(rw,no_root_squash,no_subtree_check,async)
</source>

Export the new share
<source lang=cli>
exportfs
</source>
Restart the NFS server service
<source lang=cli>
service nfs-kernel-server restart
</source>

Enter the idmapd.conf file
<source lang=cli>
nano /etc/idmapd.conf
</source>
Change the domain to "Cluster"
<source lang=cli>
Domain = Cluster
</source>
Restart the idmapd service
<source lang=cli>
service idmapd restart
</source>

=apt-cacher=

'''Disregard of this manual for APT-CACHER for Ubuntu 14.04+ Use: apt-cacher-ng'''

Install the apt-cacher program
<source lang=cli>
apt-get install apt-cacher
</source>

Enter the apt-cacher.conf file
<source lang=cli>
nano /etc/apt-cacher/apt-cacher.conf
</source>
Insert the following
<source lang=cli>
path_map = ubuntu de.archive.ubuntu.com/ubuntu; ubuntu-updates de.archive.ubuntu.com/ubuntu ; ubuntu-security security.ubuntu.com/ubuntu
allowed_hosts=*
</source>

Enter the apt-cacher file
<source lang=cli>
nano /etc/default/apt-cacher
</source>
set the autostart to 1
<source lang=cli>
AUTOSTART=1
</source>

Restart the apt-cacher service
<source lang=cli>
sudo /etc/init.d/apt-cacher restart
</source>

=Auto SSH login=
Make a crypto dsa(digital signature algorithm) key for the auto login
<source lang=cli>
ssh-keygen -t dsa
</source>
Copy the dsa key to the hidden /.ssh/ folder i the /home/<username> folder, which will be mounted on the nodes
<source lang=cli>
cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys
</source>
{{Source cli}}

Cluster der kan alt/Installation af CUDA

2014-11-04T09:55:16Z

JLA: /* Installation af cuda */

=Installation af cuda=
Follow this tutorial: http://www.quantstart.com/articles/Installing-Nvidia-CUDA-on-Ubuntu-14-04-for-Linux-GPU-Computing

Note: Suggest that you navigate to sub-directories in the samples directory and "make" individual projects. To "make" the whole samples directory (as the tutorial suggests) takes around an hour!

Note: .bash_profile is actually just called .profile

CUDA + OpenMPI install script:

<code><pre>
#!/bin/bash
#####################################
# Made by Jesper Larsen, 28-10-2014 #
#####################################
#
# CUDA + OpenMPI installer
#
echo "Preparing for install..."
apt-get update
apt-get install -y build-essential
echo "Creating folders..."
mkdir ~/installdir
mkdir ~/installdir/dl
mkdir ~/installdir/dl/CUDA
# Downloading, installing deb.
if [ -f "/home/hpcadmin/installdir/dl/CUDA/cuda-repo-ubuntu1404_6.5-14_amd64.deb" ];
then
echo "cuda6_5_rev14 .deb package found."
echo "Installing: cuda65rev14..."
dpkg -i /home/hpcadmin/installdir/dl/CUDA/cuda-repo-ubuntu1404_6.5-14_amd64.deb
else
echo "cuda6_5_rev14 .deb package _NOT_ found."
echo "Downloading and installing: cuda6_5_rev14..."
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_6.5-14_amd64.deb /home/hpcadmin/installdir/dl/CUDA/
dpkg -i /home/hpcadmin/installdir/dl/CUDA/cuda-repo-ubuntu1404_6.5-14_amd64.deb
fi
apt-get update
apt-get install -y cuda
echo "export PATH=/usr/local/cuda-6.5/bin:$PATH" >> ~/.profile
echo "export LD_LIBRARY_PATH=/usr/local/cuda-6.5/lib64:$LD_LIBRARY_PATH" >> ~/.profile
source ~/.profile
#Installing OpenMPI
echo "Installing OpenMPI"
apt-get install -y libopenmpi-dev openmpi-bin openmpi-doc
echo "========================================="
echo "!!! CUDA + OpenMPI - INSTALL COMPLETE !!!"
echo "========================================="
echo "RESTART IN 20 SECONDS FOR DRIVERS TO WORK"
echo ""
echo "Before proceeding to test the GPU cards we will ensure that the drivers are"
echo "correctly installed. The following line will provide us with the driver version."
echo "Run this for testing after reboot: sudo cat /proc/driver/nvidia/version"
sleep 20
reboot now
</pre></code>

CUDA samples compiling and test script:

<code><pre>
#!/bin/bash
#####################################
# Made by Jesper Larsen, 28-10-2014 #
#####################################
#
# CUDA samples compile and test GPU
#
# Getting: Hostname, IP, Current date
IP=$(hostname -I | awk '{print $1}')
Host=$(host $IP | awk '{print $5}' | cut -d '.' -f1)
DATE=`date +%Y_%m_%d-%H_%M`
#Script:
compile_cuda6_5_rev14="/home/hpcadmin/installdir/testing/CUDA/NVIDIA_CUDA-6.5_Samples/bin/"
if [ -d "/home/hpcadmin/installdir/testing/CUDA/NVIDIA_CUDA-6.5_Samples/bin/" ];
then
echo "$compile_cuda6_5_rev14 found! Testing instead."
echo "Testing communication with the GPU..."
exec /home/hpcadmin/installdir/testing/CUDA/NVIDIA_CUDA-6.5_Samples/bin/x86_64/linux/release/deviceQuery > /home/hpcadmin/installdir/testing/CUDA/results/$Host-$DATE.txt
else
echo "$compile_cuda6_5_rev14 _NOT_ found. Compiling then testing."
echo "Copying CUDA samples to testing directory..."
sh /usr/local/cuda-6.5/bin/cuda-install-samples-6.5.sh /home/hpcadmin/installdir/testing/CUDA/
echo "Compiling CUDA samples - TAKES A LONG TIME 30-40 min..."
make -C /home/hpcadmin/installdir/testing/CUDA/NVIDIA_CUDA-6.5_Samples/
echo "Testing communication with the GPU..."
exec /home/hpcadmin/installdir/testing/CUDA/NVIDIA_CUDA-6.5_Samples/bin/x86_64/linux/release/deviceQuery > /home/hpcadmin/installdir/testing/CUDA/results/$Host-$DATE.txt
fi
</pre></code>

Cluster der kan alt

2014-11-04T09:52:54Z

JLA: /* Test af head installation på fysisk maskine */

{{TOCright}}

= Introduktion =

At udvikle et [[Ubuntu]] cluster installationsmetode og implementere den fysisk således at programmer kan afvikles.

= metode =

Installationsmetoden udvikles på [[ESXi]] og implementeres på de fysiske servere.

= Mål =

*En master
*minimum to noder
*automatiseret installation af noder. (Så godt som muligt)
*automatiseret oprettelse af brugere [[LDAP]] eller [[NIS Ubuntu|NIS]]
*[[MPI]]

==Lab environment on local PC==

'''LAST UPDATE AUTUMN 2014 (pre-course edits)''' Comments, corrections and additions welcome! :-)

This lab environment is build upon the virtual platform VMware Workstation and Ubuntu-Server 14.04.1 64Bit (ubuntu-14.04.1-server-amd64.iso) as cluster and nodes OS. Ubuntu server can be downloaded [http://www.ubuntu.com/download/server| here]

This guide will guide you though how to build a virtual Linux/Ubuntu cluster lab environment on your local machine. This environment can later be implemented on the real cluster.

*[[/Oprettelse af master og nodes maskiner|Create master and nodes machine]]
'''Master installation and configuration'''
#[[/Installation af master|Install master]]
#[[/Install DHCP server|Install and configure DHCP server]]
#[[/Install DNS server|Install and configure DNS server]]
#[[/Routing NAT and NIS|Configure Routing, NAT and NIS]]
#[[/PXE and Kickstart|PXE and Kickstart configuration]]
#[[/Configure NFS server, Apt cacher and SSH auto login|Install and configure NFS server, apt-cacher and SSH auto login]]
#[[/Multi Router Traffic Grapher|Install and configure Multi Router Traffic Grapher - MRTG]] - doesn't work properly
#[[/DSH and MPI|Install and configure DSH and OpenMPI]]
#[[/OpenCV|Install and configure OpenCV]]
'''Nodes installation and configuration'''

== Udvikling fase 1 ==

#Installer [[ESXi]]
#[[/Ubuntu Master|Installer Ubuntu Master]]
#[[/DHCP server|Installer og konfigurer DHCP server]]
#[[/DNS Server|Installer og konfigurer DNS server]]
#[[/Routning og NAT|Routening og NAT gennem Master]]
#[[/LDAP eller NIS|LDAP eller NIS til user login på noder]]
#[[/Tilføjelse af ny klient|Tilføjelse af ny klient]]
#[[/PXE installation af noder|PXE installation af noder]]
#[[/NFS Server|NFS Server til netværk shares ]]
#[[/apt-cacher installation|apt-cacher installation]]
#[[/Auto SSH|Auto SSH login på noder uden at skrive pass]]
#[[/Kickstart fil til installation af noder|Kickstart fil til installation af noder]]
#[[/Overvågning med MRTG|Overvågning med MRTG]]
#[[/dsh|Distributed Shell dsh]]
#[[/mpi|Installation af openMPI og MPICH]]
#[[Installation af OpenCV]]
#[[InfiniBand]]

=== Test af head installation på fysisk maskine ===

#[[/Installation af head node|Installation af head node]]
#[[/Installation af CUDA|Installation/testing af CUDA]]
#[http://www.raben.com/content/opencv-installation-ubuntu-1204 Installation af OpenCV]
#[[/makefile script |Makefile]]

== Udvikling fase 2 ==

#Tilpasning af SW og konfigurationsfiler til noder

== Udvikling fase 3 ==

#Installation af [[SAN]]

== Udvikling fase 4 ==

#Installation af fysiske maskiner

= Netværk =

*Qlogic switch
**Telnet eller http: til 172.16.4.11 (username '''admin''' password '''adminpass''')
*3550 Gb switch
**Telnet til 172.16.4.88 password '''cisco'''

= Hastighed =

Infinibands hastighed er 4.38 Gbits/sec

= Harddisk partitionering =

På det rigtige cluster er partitioneringen lavet som følger:

;/
:ext4 5GB
;/tmp
:ext4 10GB
;/var
:ext4 15GB
;/boot
:ext4 2GB
;/usr
:ext4 50GB
;swap
:swap 2xRAM
;/home
:ext4 resterende plads - 10GB

= Links =

*[[Weekend Projekt - Test Cluster]]
*[[NIS Ubuntu]]
*[http://coen.boisestate.edu/ece/files/2013/05/Rasp.-Pi.pdf RPi Cluster] -> [http://www.youtube.com/watch?v=i_r3z1jYHAc YouTube Video]

[[Category:Cluster]]

Cluster der kan alt/Installation af CUDA

2014-11-04T09:48:02Z

JLA: /* Installation af cuda */

Cluster der kan alt/Installation af CUDA

2014-11-04T09:46:57Z

JLA: /* Installation af cuda */