https://github.com/gwastro/pycbc
Tip revision: bb57a39edbb8e0a66ac0d9b514eaa41afaa2a5ca authored by Ian Harry on 17 June 2019, 14:58:05 UTC
Prep for new release (#2779)
Prep for new release (#2779)
Tip revision: bb57a39
INSTALL
PyCBC installation instructions
===============================
Prerequisites
-------------
* LALSuite
See https://www.lsc-group.phys.uwm.edu/daswg/docs/howto/lal-install.html
for instructions to install through source, or simply install the pre-built
version hosted on pypi using pip.
Installing PyCBC
----------------
pip install lalsuite pycbc
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