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Revision 1.1.1.1 (vendor branch), Wed Mar 21 20:48:53 2012 UTC (8 years, 4 months ago) by asau
Branch: TNF, MAIN
CVS Tags: pkgsrc-base, pkgsrc-2020Q2-base, pkgsrc-2020Q2, pkgsrc-2020Q1-base, pkgsrc-2020Q1, pkgsrc-2019Q4-base, pkgsrc-2019Q4, pkgsrc-2019Q3-base, pkgsrc-2019Q3, pkgsrc-2019Q2-base, pkgsrc-2019Q2, pkgsrc-2019Q1-base, pkgsrc-2019Q1, pkgsrc-2018Q4-base, pkgsrc-2018Q4, pkgsrc-2018Q3-base, pkgsrc-2018Q3, pkgsrc-2018Q2-base, pkgsrc-2018Q2, pkgsrc-2018Q1-base, pkgsrc-2018Q1, pkgsrc-2017Q4-base, pkgsrc-2017Q4, pkgsrc-2017Q3-base, pkgsrc-2017Q3, pkgsrc-2017Q2-base, pkgsrc-2017Q2, pkgsrc-2017Q1-base, pkgsrc-2017Q1, pkgsrc-2016Q4-base, pkgsrc-2016Q4, pkgsrc-2016Q3-base, pkgsrc-2016Q3, pkgsrc-2016Q2-base, pkgsrc-2016Q2, pkgsrc-2016Q1-base, pkgsrc-2016Q1, pkgsrc-2015Q4-base, pkgsrc-2015Q4, pkgsrc-2015Q3-base, pkgsrc-2015Q3, pkgsrc-2015Q2-base, pkgsrc-2015Q2, pkgsrc-2015Q1-base, pkgsrc-2015Q1, pkgsrc-2014Q4-base, pkgsrc-2014Q4, pkgsrc-2014Q3-base, pkgsrc-2014Q3, pkgsrc-2014Q2-base, pkgsrc-2014Q2, pkgsrc-2014Q1-base, pkgsrc-2014Q1, pkgsrc-2013Q4-base, pkgsrc-2013Q4, pkgsrc-2013Q3-base, pkgsrc-2013Q3, pkgsrc-2013Q2-base, pkgsrc-2013Q2, pkgsrc-2013Q1-base, pkgsrc-2013Q1, pkgsrc-2012Q4-base, pkgsrc-2012Q4, pkgsrc-2012Q3-base, pkgsrc-2012Q3, pkgsrc-2012Q2-base, pkgsrc-2012Q2, pkgsrc-2012Q1-base, pkgsrc-2012Q1, HEAD
Changes since 1.1: +0 -0 lines

Import Open Grid Scheduler version 2011.11 as parallel/gridscheduler.
Heavily based on Sun Grid Engine package (parallel/sge).

Open Grid Scheduler/Grid Engine is a free and open-source
batch-queuing system for distributed resource management.
OGS/GE is based on Sun Grid Engine, and maintained by the same
group of external (i.e. non-Sun) developers who started
contributing code to Sun Grid Engine since 2001.

The Grid Engine project is an open source community effort
to facilitate the adoption of distributed computing solutions.
Sponsored by Sun Microsystems and hosted by CollabNet, the
Grid Engine project provides enabling distributed resource
management software for wide ranging requirements from compute
farms to grid computing.