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Install python and friends on DTUs shared user system.

PLEASE NOTE: this setup guide have moved to https://github.com/AndreasMadsen/my-setup/tree/master/dtu-hpc-python2 so it is easier to find. PLEASE DO NOT USE THIS GUIDE.

Install python and friends on DTUs shared user system. In particually with OpenCL and CUDA support.

Note the install part only works when using hpc-fe.gbar.dtu.dk as the ssh host! So ThinLinc and login.gbar.dtu.dk won't work. This is because k40sh is needed to compile the OpenCL and CUDA parts. The SSH guide can be found here: http://gbar.dtu.dk/faq/53-ssh (just be sure to replace login.gbar.dtu.dk with hpc-fe.gbar.dtu.dk).

Type or copy this after connecting with SSH, using time this have been messured to take 37 minutes:

k40sh
wget https://gist.githubusercontent.com/AndreasMadsen/45050d426e411e985703/raw/setup_python.sh
sh setup_python.sh
exit

For any future login and after the installation run one of these:

If you need OpenCL or CUDA run:

k40sh
module load python
module load gcc
module load cuda/6.0
source ~/stdpy/bin/activate

Otherwise use:

qrsh
module load python
module load gcc
source ~/stdpy/bin/activate

Personally I have all the module and source stuff in my .profile.sh file.

#!/bin/sh
module load python
module load gcc
module load cuda/6.0
# Setup to use gnu compiler
export CC=gcc
export CXX=g++
# Setup virtual env
virtualenv stdpy
source ./stdpy/bin/activate
pip install numpy
pip install scipy
pip install matplotlib
pip install scikit-learn
pip install pandas
pip install mako
pip install pil
pip install nose
# Install pydot
pip uninstall pyparsing -y
pip install -Iv https://pypi.python.org/packages/source/p/pyparsing/pyparsing-1.5.7.tar.gz#md5=9be0fcdcc595199c646ab317c1d9a709
pip install pydot
# Install pyOpenCL
wget --no-check-certificate https://pypi.python.org/packages/source/p/pyopencl/pyopencl-2013.2.tar.gz
tar xfz pyopencl-2013.2.tar.gz
cd pyopencl-2013.2
python configure.py \
--cl-inc-dir=/opt/cuda/6.0/include \
--cl-lib-dir=/opt/cuda/6.0/lib \
--cl-libname=OpenCL
make install
cd ..
rm -rf pyopencl-2013.2
rm -f pyopencl-2013.2.tar.gz
# Install theano
pip install theano
cat > .theanorc <<EOF
[global]
device = gpu
floatX = float32
root = /opt/cuda/6.0
EOF
# Install basemap extension to matplotlib
wget http://downloads.sourceforge.net/project/matplotlib/matplotlib-toolkits/basemap-1.0.7/basemap-1.0.7.tar.gz
tar -xzf basemap-1.0.7.tar.gz
cd basemap-1.0.7
cd geos-3.3.3
export GEOS_DIR=$HOME
./configure --prefix=$GEOS_DIR
make; make install
cd ..
python setup.py install
cd ..
rm -rf basemap-1.0.7
rm -f basemap-1.0.7.tar.gz
# Install netCDF4
wget http://www.hdfgroup.org/ftp/HDF5/current/src/hdf5-1.8.13.tar
tar -xf hdf5-1.8.13.tar
cd hdf5-1.8.13
./configure --prefix=$HOME --enable-shared --enable-hl
make
make install
cd ..
wget ftp://ftp.unidata.ucar.edu/pub/netcdf/netcdf-4.3.2.tar.gz
tar -xzf netcdf-4.3.2.tar.gz
cd netcdf-4.3.2
./configure --enable-netcdf-4 --enable-dap --enable-shared --prefix=$HOME
make
make install
cd ..
wget --no-check-certificat https://pypi.python.org/packages/source/n/netCDF4/netCDF4-1.1.0.tar.gz#md5=8e2958160c8cccfc80f61ae0427e067f
tar -xzf netCDF4-1.1.0.tar.gz
cd netCDF4-1.1.0
python setup.py install
cd ..
rm -rf hdf5-1.8.13
rm -f hdf5-1.8.13.tar
rm -rf netcdf-4.3.2
rm -f netcdf-4.3.2.tar.gz
rm -rf netCDF4-1.1.0
rm -f netCDF4-1.1.0.tar.gz
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