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ubuntu 9.10
Below are pseudo-instructions for creating the latest StarCluster AMI (Ubuntu 9.10 Karmic) from scratch:
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Launch an alestic ubuntu AMI (x86: ami-bb709dd2, amd64: ami-55739e3c)
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Login via ssh as the ubuntu user and switch to root:
sudo -i
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Edit /etc/apt/sources.list and add multiverse to the end of all lines except deb-src lines
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Update the package list and upgrade all packages:
apt-get update apt-get upgrade
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Install the necessary build tools:
apt-get --reinstall install build-essential python-dev swig gfortran -y apt-get remove python-nose g77 python-setuptools -y
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Install and configure blas/lapack:
rm -rvf /usr/lib{,64}/atlas/ apt-get remove liblapack"*" -y apt-get remove libblas"*" -y apt-get -y --reinstall install libatlas-base-dev libatlas3gf-base
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Install and configure gfortran:
apt-get --reinstall install gfortran-4.2 -y ln -sf /usr/bin/gfortran{-4.2,}
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Remove any existing numpy/scipy installations:
rm -rvf /usr/local/lib/python2.6/*-packages/numpy* rm -rvf /usr/local/lib/python2.6/*-packages/scipy*
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Install and configure the base dependencies:
apt-get install python-dev git-core vim mercurial subversion cvs encfs openmpi-bin libopenmpi-dev nfs-kernel-server python-django sun-java6-jdk keychain screen tmux zsh ksh csh tcsh python-pip python-setuptools python-virtualenv python-imaging python-boto unzip rar unace build-essential gfortran ec2-api-tools ec2-ami-tools mysql-server mysql-client apache2 libapache2-mod-wsgi sysv-rc-conf pssh emacs cython irssi python-distutils-extra python-profiler htop vim-scripts python-multiprocessing python-multiprocessing-dbg python-ctypes
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Install latest versions of ipython and nose:
pip install ipython pip install nose
The alestic AMI's have been configured to disable root logins. Follow the instructions below to undo this behavior:
- Edit /etc/ec2-init/ec2-config.cfg and set disable_root=0
- Edit /root/.ssh/authorized_keys and remove prefix commands from pubkey entry (anything before the ssh-rsa...)
- Customize motd in /etc/update-motd.d/* and /etc/motd.tail
- Uncomment bash completion section in /etc/bash.bashrc
StarCluster relies on /etc/init.d/nfs existing. Run the command below to ensure this exists:
ln -s /etc/init.d/nfs-kernel-server /etc/init.d/nfs
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Launch one of the 32bit or 64bit StarCluster AMI's and copy /opt/sge6-fresh to /opt/sge6-fresh on your new image host.
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Unpack python-drmaa (0.2) to /opt, set SGE6_ROOT='/opt/sge6-fresh' in setup.py and run:
python setup.py install
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Unpack python-drmaa (0.4b3) to /opt and run the following command inside the source folder:
python setup.py install
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Link the DRMAA library to /usr/lib64/libdrmaa.so:
ln -s /opt/sge6-fresh/lib/lx24-{x86|amd64}/libdrmaa.so.1.0 /usr/lib{64}/libdrmaa.so.1.0 ln -s /usr/lib{64}/libdrmaa.so.1.0 /usr/lib{64}/libdrmaa.so
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Test that the following commands complete without error:
python -c "import DRMAA" python -c "import drmaa"
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Install the build deps for libopenmpi-dev:
apt-get build-dep libopenmpi-dev
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Get the source for the libopenmpi-dev debian package:
cd /usr/local/src apt-get source libopenmpi-dev
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Change into the libopenmpi-dev package's debian folder:
cd openmpi-1.3.2/debian
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Modify the 'rules' file and add --with-sge to the configure arguments:
vim rules (add --with-sge to configure args)
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Rebuild the libopenmpi-dev package:
cd .. dpkg-buildpackage -rfakeroot -b
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Install the newly rebuild package:
cd .. dpkg -i *.deb
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Verify Sun Grid Engine support:
ompi_info | grep -i grid MCA ras: gridengine (MCA v2.0, API v2.0, Component v1.3.2)
The next sections describe installing an optimized scipy/numpy using Atlas/UMFPACK/AMD/FFTW libraries from source. A lot of these instructions were merged from http://scipy.org/Installing_SciPy/Linux
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Checkout npinto-toolbox:
cd /usr/local/src git clone git://github.com/jtriley/npinto-toolbox cd npinto-toolbox
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Run the ATLAS installer:
./install_atlas3.8.3_Ubuntu9.10-{x86,x86_64}-root.bash
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Remove /usr/lib/liblapack.so:
rm /usr/lib/liblapack.so
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Update /usr/lib/gfortran.so symlink:
ln -s /usr/lib/libgfortran.so.3 /usr/lib/gfortran.so
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Create a directory to unpack the source into:
mkdir /usr/local/src/umfpack
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Get the latest versions of AMD, UFconfig and UMFPACK and untar them into /usr/local/src/umfpack
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Modify /usr/local/src/umfpack/UFconfig/UFconfig.mk to look like (change -m64 to -m32 in the flags below for a 32bit system):
CC = gcc CFLAGS = -O3 -fexceptions -m64 -fPIC -DNCHOLMOD F77 = gfortran F77FLAGS = -O -m64 -fPIC BLAS = -lptf77blas -lptcblas -latlas -lgfortran LAPACK = -llapack -lptf77blas -lptcblas -latlas -lgfortran
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Run 'make' in the /usr/local/src/umfpack/UMFPACK directory:
cd /usr/local/src/umfpack/UMFPACK make
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Copy resulting libraries and include files:
cp /usr/local/src/umfpack/AMD/Lib/libamd.a /usr/lib cp /usr/local/src/umfpack/UMFPACK/Lib/libumfpack.a /usr/lib cp /usr/local/src/umfpack/AMD/Include/amd.h /usr/include cp /usr/local/src/umfpack/UFconfig/UFconfig.h /usr/include cp /usr/local/src/umfpack/UMFPACK/Include/*.h /usr/include
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Create /usr/lib/libumfpack.so symlink:
ln -s /usr/lib/libumfpack.a /usr/lib/libumfpack.so
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Download fftw-3.2.2 from http://www.fftw.org into /usr/local/src and unpack
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Change into the fftw source folder:
cd /usr/local/src/fftw-3.2.2
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Configure fftw (change -m64 to -m32 for 32bit):
export CFLAGS="-O3 -fomit-frame-pointer -fstrict-aliasing -ffast-math -pthread -fPIC -m64" export FFLAGS="-g -O2 -fPIC -m64" export CXXFLAGS="-g -O2 -fPIC -m64" ./configure --enable-sse2 --enable-threads --with-combined-threads --prefix=/usr
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Build fftw:
make install
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Download numpy-1.5.0b1/scipy-0.8.0 into /usr/local/src and untar them
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Copy numpy_scipy_site.cfg from npinto-toolbox:
cp /usr/local/src/npinto-toolbox/install_scripts/numpy_scipy_site.cfg /usr/local/src/numpy-1.5.0b1/site.cfg cp /usr/local/src/npinto-toolbox/install_scripts/numpy_scipy_site.cfg /usr/local/src/scipy-0.8.0/site.cfg
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Run the configure check for numpy:
cd /usr/local/src/numpy-1.5.0b1 python setup.py config
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Copy the SMCFLAGS from the ATLAS VERSION output and export CFLAGS to be the same as SMCFLAGS
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Copy the F77FLAGS from the ATLAS VERSION output and export F77FLAGS to be the same
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Install numpy:
python setup.py install
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Run the following command:
python -c "import numpy; numpy.show_config()"
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The output of the above command should look something like:
In [3]: import numpy In [4]: numpy.show_config() atlas_threads_info: libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas'] library_dirs = ['/usr/lib'] language = f77 blas_opt_info: libraries = ['ptf77blas', 'ptcblas', 'atlas'] library_dirs = ['/usr/lib'] define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')] language = c atlas_blas_threads_info: libraries = ['ptf77blas', 'ptcblas', 'atlas'] library_dirs = ['/usr/lib'] language = c lapack_opt_info: libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas'] library_dirs = ['/usr/lib'] define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')] language = f77 lapack_mkl_info: NOT AVAILABLE blas_mkl_info: NOT AVAILABLE mkl_info: NOT AVAILABLE
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Install scipy:
cd /usr/local/src/scipy-0.8.0 python setup.py install
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Run the following command:
python -c "import scipy; scipy.show_config()"
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Output of the above command should look something like:
In [5]: import scipy In [6]: scipy.show_config() amd_info: libraries = ['amd'] library_dirs = ['/usr/lib'] define_macros = [('SCIPY_AMD_H', None)] swig_opts = ['-I/usr/include'] include_dirs = ['/usr/include'] umfpack_info: libraries = ['umfpack', 'gfortran', 'amd'] library_dirs = ['/usr/lib'] define_macros = [('SCIPY_UMFPACK_H', None), ('SCIPY_AMD_H', None)] swig_opts = ['-I/usr/include', '-I/usr/include'] include_dirs = ['/usr/include'] atlas_threads_info: libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas'] library_dirs = ['/usr/lib'] language = f77 blas_opt_info: libraries = ['ptf77blas', 'ptcblas', 'atlas'] library_dirs = ['/usr/lib'] define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')] language = c atlas_blas_threads_info: libraries = ['ptf77blas', 'ptcblas', 'atlas'] library_dirs = ['/usr/lib'] language = c lapack_opt_info: libraries = ['lapack', 'ptf77blas', 'ptcblas', 'atlas'] library_dirs = ['/usr/lib'] define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')] language = f77 lapack_mkl_info: NOT AVAILABLE blas_mkl_info: NOT AVAILABLE mkl_info: NOT AVAILABLE
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Make sure the following commands both output "OK":
python -c "import numpy; numpy.test()" python -c "import scipy; scipy.test()"