./wip/py-fjd, File-based job distribution for everyone

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Branch: CURRENT, Version: 0.1.42, Package name: py27-fjd-0.1.42, Maintainer: kamelderouiche

fjd makes it easy to run computational jobs on many CPUs.

There are several powerful tools for automatic distribution of computational
jobs. However, for smaller use cases, the effort of installation and setup is
too high

With fjd, the hurdle to get started is very low. Installation is easy. Pushing
jobs into the queue only requires writing small and simple files. Per default,
all CPUs on your computer are used. New computers can be added very easily,
too. Plus, your jobs can be written in any language.

fjd works under the assumption that all CPUs are in a local network and can
access a shared home directory.


Required to run:
[misc/screen] [shells/bash] [security/py-paramiko] [devel/py-setuptools] [lang/python27] [wip/py-screenutils]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: c1e768ef932f2e38989937869166ba3a7855af6b
RMD160: 24f02861c38533ba981ef49f0605f538be8bdd5f
Filesize: 12.728 KB

Version history: (Expand)


CVS history: (Expand)


   2014-05-09 09:38:42 by Thomas Klausner | Files touched by this commit (229)
Log message:
Mark packages that are not ready for python-3.3 also not ready for 3.4,
until proven otherwise.
   2014-04-02 18:56:03 by Aleksej Saushev | Files touched by this commit (1)
Log message:
BASH is not a tool here, it is a run time dependency rather.
   2014-04-02 18:53:25 by Aleksej Saushev | Files touched by this commit (1)
Log message:
Incompatible with Python 3.3
   2014-03-22 00:12:39 by Kamel Derouiche | Files touched by this commit (3)
Log message:

	added new dependency: misc/screen for bgscreen(script)
	added new dependency: bash for bgscreen(script) 
	fixed env for python script
   2014-03-21 11:54:22 by Kamel Derouiche | Files touched by this commit (5)
Log message:
Import py27-fjd-0.1.42 as wip/py-fjd.

fjd makes it easy to run computational jobs on many CPUs.

There are several powerful tools for automatic distribution of computational
jobs. However, for smaller use cases, the effort of installation and setup is
too high

With fjd, the hurdle to get started is very low. Installation is easy. Pushing
jobs into the queue only requires writing small and simple files. Per default,
all CPUs on your computer are used. New computers can be added very easily,
too. Plus, your jobs can be written in any language.

fjd works under the assumption that all CPUs are in a local network and can
access a shared home directory.