Package for using processes which mimics the threading module (FORK)
Project description
About Multiprocess
multiprocess is a fork of multiprocessing, and is developed as part of pathos: https://github.com/uqfoundation/pathos
Multiprocessing is a package for the Python language which supports the spawning of processes using the API of the standard library’s threading module. multiprocessing has been distributed in the standard library since python 2.6.
Features:
Objects can be transferred between processes using pipes or multi-producer/multi-consumer queues.
Objects can be shared between processes using a server process or (for simple data) shared memory.
Equivalents of all the synchronization primitives in threading are available.
A Pool class makes it easy to submit tasks to a pool of worker processes.
Pathos is a python framework for heterogeneous computing. Pathos is in active development, so any user feedback, bug reports, comments, or suggestions are highly appreciated. A list of known issues is maintained at http://trac.mystic.cacr.caltech.edu/project/pathos/query, with a public ticket list at https://github.com/uqfoundation/pathos/issues.
NOTE: A C compiler is required to build the included extension module. For python 3.3 and above, a C compiler is suggested, but not required.
Major Changes
enhanced serialization, using dill
Current Release
This version is multiprocess-0.70.3 (a fork of multiprocessing-0.70a1).
The latest released pathos fork of multiprocessing is available from:
https://pypi.python.org/pypi/multiprocess
Multiprocessing is distributed under a BSD license.
Development Version
You can get the latest development version with all the shiny new features at:
https://github.com/uqfoundation
If you have a new contribution, please submit a pull request.
Installation
Multiprocess is packaged to install from source, so you must download the tarball, unzip, and run the installer:
[download] $ tar -xvzf multiprocess-0.70.3.tgz $ cd multiprocess-0.70.3 $ python setup.py build $ python setup.py install
You will be warned of any missing dependencies and/or settings after you run the “build” step above.
Alternately, multiprocess can be installed with pip or easy_install:
$ pip install multiprocess
NOTE: A C compiler is required to build the included extension module. For python 3.3 and above, a C compiler is suggested, but not required.
Requirements
Multiprocess requires:
- python2, version >= 2.5 *or* python3, version >= 3.1
Optional requirements:
- setuptools, version >= 0.6 - dill, version >= 0.2.3
More Information
Probably the best way to get started is to look at the examples that are provided within multiprocess. See the examples directory for a set of example scripts. Please feel free to submit a ticket on github, or ask a question on stackoverflow (@Mike McKerns).
Pathos is an active research tool. There are a growing number of publications and presentations that discuss real-world examples and new features of pathos in greater detail than presented in the user’s guide. If you would like to share how you use pathos in your work, please post a link or send an email (to mmckerns at caltech dot edu).
Citation
If you use pathos to do research that leads to publication, we ask that you acknowledge use of pathos by citing the following in your publication:
M.M. McKerns, L. Strand, T. Sullivan, A. Fang, M.A.G. Aivazis, "Building a framework for predictive science", Proceedings of the 10th Python in Science Conference, 2011; http://arxiv.org/pdf/1202.1056 Michael McKerns and Michael Aivazis, "pathos: a framework for heterogeneous computing", 2010- ; http://trac.mystic.cacr.caltech.edu/project/pathos
Please see http://trac.mystic.cacr.caltech.edu/project/pathos or http://arxiv.org/pdf/1202.1056 for further information.
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