Revision 620d13952083134b5c8d704e3e62b656b83fe766 authored by Bernd Machenschalk on 24 October 2017, 12:38:03 UTC, committed by Duncan Brown on 24 October 2017, 12:38:03 UTC
- It gets increasingly difficult to work with the system's Python (and pip) that's linked with a pretty ancient version of libssl. So build an own Python with a newer openssl version. - pyOpenSSL was probably pinned to version 0.13 by requirements of Pegasus, which are now obsolete, so is the pinning - If pyssl_from=tarball, pyOpenSSL 0.13 and matching openssl-1.01p will be installed. Otherwise openssl-1.0.2l will be compiled and the latest available versiomn of pyOpenSSL will b einstalled (via pip). - Python compilation: rehash to make sure to use the newly built versions of python and pip, check for dbhas early as if it's missing, something must have gone wrong already during Pythoni compilation / installation
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INSTALL
PyCBC installation instructions
===============================
Prerequisites
-------------
* Python 2.6 or 2.7
Should be provided by the distribution.
* python-decorator >= 3.3
Should be available in the distribution.
* argparse >= 1.2.0
Should be available in the distribution
* Numpy >= 1.4.1 and Scipy >= 0.7.2
Should be installable either via the distribution packaging system,
pip or easy_install. Numpy >= 1.5.1 is required for GPU acceleration
via CUDA due to a bug in older versions.
* LALSuite
See https://www.lsc-group.phys.uwm.edu/daswg/docs/howto/lal-install.html
for installation instructions. LALSuite must be configured with the
--enable-swig-python option.
Installing PyCBC
----------------
git clone https://github.com/ligo-cbc/pycbc.git
cd pycbc
python setup.py build
python setup.py install --user
python setup.py test
For installing system-wide, replace the 'setup.py install' command with
sudo python setup.py install
Installing CUDA Python modules
------------------------------
For GPU acceleration through CUDA:
* Nvidia CUDA >= 4.0 (driver and libraries).
* PyCUDA >= 2013.1.1 - http://mathema.tician.de/software/pycuda
See next section for instructions.
* SciKits.cuda >= 0.041 - http://scikits.appspot.com/cuda
See next section for instructions.
* Mako >= 0.7.2 - http://www.makotemplates.org
See next section for instructions.
These packages may not be available via the distribution packaging system,
at least in the required versions. Although they should be generally
installable via pip or easy_install, this method is not always available
on LSC clusters. Therefore, we report general instructions for installing
from source on your ~/.local directory.
PyCUDA:
git clone http://git.tiker.net/trees/pycuda.git
cd pycuda
git submodule init
git submodule update
./configure.py
python setup.py build
python setup.py install --user
If your CUDA installation is in a non-standard location X,
pass --cuda-root=X to configure.py.
SciKits.cuda:
Get the tarball (http://pypi.python.org/pypi/scikits.cuda) and unpack it.
cd scikits.cuda*
python setup.py install --user
Mako:
Get the tarball (http://www.makotemplates.org/download.html) and unpack it.
cd Mako*
python setup.py install --user
To install system-wide rather than to ~/.local, change the 'setup.py install'
commands to
sudo python setup.py install
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