Analysis kit for large-scale structure datasets, the massively parallel way
Project description
nbodykit is an open source project and Python package providing a set of algorithms useful in the analysis of cosmological datasets from N-body simulations and large-scale structure surveys.
Driven by the optimism regarding the abundance and availability of large-scale computing resources in the future, the development of nbodykit distinguishes itself from other similar software packages (i.e., nbodyshop, pynbody, yt, xi) by focusing on :
a unified treatment of simulation and observational datasets by insulating algorithms from data containers
reducing wall-clock time by scaling to thousands of cores
deployment and availability on large, super computing facilities
All algorithms are parallel and run with Message Passing Interface (MPI).
For users using the NERSC super-computers, we provide a ready-to-use tarball of nbodykit and its dependencies; see Using nbodykit on NERSC for more details.
Build Status
We perform integrated tests of the code, including all built-in algorithms, in a miniconda environment for Python 2.7 and Python 3.4.
Installation
We recommend using the anaconda distribution of Python.
To obtain the dependencies and install a package on OSX or Linux, use
conda install -c bccp nbodykitWe are considering support for Windows, but this depends on the status of mpi4py.
For manual install, please refer to .travis.yml, the build section:
At NERSC, nbodykit’s master branch is built every night.
salloc -N 1
source /usr/common/contrib/bccp/nbodykit/activate.sh dev
srun -n 4 python-mpi example.pyThe file, example.py can be found at https://github.com/bccp/nbodykit/blob/master/nersc/example.py
Documentation
The official documentation is hosted on ReadTheDocs at http://nbodykit.readthedocs.org/.
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