This cookbook will work with the Generic Amazon HVM and the Rightscale HVM images. It is based on the Ubuntu 9.10 AMI Cookbook and the CentOS 5 AMI Cookbook

1. Update package list:

   yum update

2. Remove g77 if installed:

   yum -y remove g77

3. Set up the repositories to safely install packages missing from Centos repositories:

yum -y install yum-priorities yum-utils
cd /etc/yum.repos.d
wget http://s3tools.org/repo/CentOS_5/s3tools.repo
wget http://packages.sw.be/rpmforge-release/rpmforge-release-0.5.1-1.el5.rf.x86_64.rpm
rpm --import http://apt.sw.be/RPM-GPG-KEY.dag.txt

4. Check and install rpmforge rpms:

   rpm -K rpmforge-release-0.5.1-1.el5.rf.*.rpm
   rpm -i rpmforge-release-0.5.1-1.el5.rf.*.rpm
   rm -f rpmforge-release-0.5.1-1.el5.rf.x86_64.rpm

5. Setup Python 2.6 repositories:

   wget http://dagobah.ftphosting.net/yum/smartfile.repo -O /etc/yum.repos.d/smartfile.repo

6. Set the priority of each entry in each repo file in /etc/yum.repos.d by adding a line “priority = 1” for each of the entries in the Centos repo files and “priority = 2” for each of the entries in the other repo files.

7. Install s3cmd:

   yum -y install s3cmd

1. Install build essential tools:

   yum -y groupinstall "Development Tools" "Development Libraries" "X Software Development"

2. Install Python-related packages:

   yum -y install python26 python26-devel python26-libs \
   python26-setuptools python26-setuptools-devel python26-simplejson \
   python26-imaging python26-imaging-devel python-curl python26-docutils \
   python26-lxml python26-memcached python26-Django
   
   easy_install26 pyyaml boto dnspython pip virtualenv pssh multiprocessing ctypes nose pyrex

3. Install other tools and libraries:

   yum -y install nfs-utils-lib-devel java-1.6.0-openjdk-devel zsh ksh csh \
   tcsh unzip mysql screen httpd emacs ntsysv bz2 curses sqlite zlib keychain tmux \
   git mercurial encfs libyaml-devel rxvt

1. Install OpenMPI development package:

   yum -y install openmpi-devel

2. Configure mpi via mpi-selector:

   mpi-selector --set openmpi-1.4-gcc-x86_64 --yes --system

3. Logout and login to get the updated mpi environment

4. Test the grid engine. This show give:

   ompi_info | grep -i grid
           # MCA ras: gridengine (MCA v2.0, API v2.0, Component v1.4.1)

5. Install mpi4py:

   easy_install26 mpi4py

6. Test mpi4py installation:

   mpi4py_version="mpi4py-1.2.1"
   wget http://mpi4py.googlecode.com/files/$mpi4py_version.tar.gz
   tar xzvf $mpi4py_version.tar.gz
   cd $mpi4py_version/test
   python26 runalltest.py

1. Launch one of the 32bit or 64bit StarCluster AMI's and copy /opt/sge6-fresh to /opt/sge6-fresh on your new image host.

2. Install DRMAA-python:

   wget http://drmaa-python.googlecode.com/files/DRMAA-python-0.2.tar.gz
   tar xzvf DRMAA-python-0.2.tar.gz
   cd DRMAA-python-0.2
   nano setup.py # set SGE6_ROOT='/opt/sge6-fresh' and save
   python26 setup.py install
   cd ..
   rm -f  DRMAA-python-0.2.tar.gz
   ln -s /opt/sge6-fresh/lib/lx24-amd64/libdrmaa.so.1.0 /usr/lib64/libdrmaa.so.1.0
   ln -s /usr/lib64/libdrmaa.so.1.0 /usr/lib64/libdrmaa.so

3. Test:

   python26 -c "import DRMAA"
   python26 -c "import drmaa"

Please follow the same instructions listed in the StarCluster Ubuntu 10.10 Guide

This section is purely optional and was documented because the original author of the guide needed PETSc. Please ignore if you have no interest in PETSc.

1. Download the sources:

   petsc_version="petsc-3.1-p4"
   DEV_HOME=/usr/local/src
   mkdir /usr/lib/petsc
   cd /usr/lib/petsc
   wget http://ftp.mcs.anl.gov/pub/petsc/release-snapshots/$petsc_version.tar.gz
   tar xzvf $petsc_version.tar.gz
   cd $petsc_version

2. Configure PETSc:

   ./config/configure.py --configModules=PETSc.Configure --optionsModule=PETSc.compilerOptions \
   --with-x=1 --with-debugging=0  --with-shared --useThreads 0 \
   --with-mpi-dir=/usr/lib64/openmpi/1.4-gcc \
   --with-blas-lib="[/usr/lib/libcblas.so,/usr/lib/libf77blas.so,/usr/lib/libatlas.so]" \
   --with-lapack-lib="[/usr/lib/liblapack.so,/usr/lib/libatlas.so]" \
   --with-umfpack=1 --with-umfpack-include=/usr/include \
   --with-umfpack-lib="[/usr/lib/libumfpack.so,/usr/lib/libamd.a]" \
   --download-plapack

3. Build PETSc:

   export PETSC_DIR=$PWD
   export PETSC_ARCH=linux-gnu-c-opt
   make all test

4. Cleanup tar.gz files:

   cd ../
   rm -f $petsc_version.tar.gz
   cd ~
   rm -f $DEV_HOME/PLAPACKR32.tgz

5. Install petsc4py:

   easy_install26 petsc4py

6. Test the installation:

   wget http://petsc4py.googlecode.com/files/petsc4py-1.1.tar.gz
   tar xzvf petsc4py-1.1.tar.gz
   cd petsc4py-1.1/test
   python26 runtests.py
   cd ~
   rm -f petsc4py-1.1.tar.gz
   rm -Rf petsc4py-1.1

This section is purely optional and was documented because the original author of the guide needed NLTK. Please ignore if you have no interest in NLTK.

1. Download sources:

   nltk_version="nltk-2.0b9"
   easy_install26 nltk
   wget http://nltk.googlecode.com/files/$nltk_version.zip
   unzip $nltk_version.zip
   cd $nltk_version

2. Install ntlk:

   python26 setup.py install

3. Cleanup:

   cd ../
   rm -f $nltk_version.zip
   rm -Rf $nltk_version

4. Download nltk download (can take a while!):

   python26 -m nltk.downloader -d /usr/share/nltk_data all

In a local terminal:

starcluster ebsimage <id> <name>