multiprocess 0.70.3

Package for using processes which mimics the threading module (FORK)

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.