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Oracle Grid Engine

Oracle Grid Engine, previously known as Sun Grid Engine (SGE), CODINE or GRD, was a grid computing computer cluster software system, acquired as part of a purchase of Gridware, then improved and supported by Sun Microsystems and later Oracle. There have been open source versions and multiple commercial versions of this technology, initially from Sun, later from Oracle, then from Univa Corporation, and later from HPC Gridware as Gridware Cluster Scheduler. The open source version is still under active development under the SISSL license as Open Cluster Scheduler.

History
In 2000, Sun acquired Gridware a privately owned commercial vendor of advanced computing resource management software with offices in San Jose, Calif., and Regensburg, Germany. Later that year, Sun offered a free version of Gridware for Solaris and Linux, and renamed the product Sun Grid Engine. In 2001, Sun made the source code available, and adopted the open source development model. Ports for Mac OS X and *BSD were contributed by the non-Sun open source developers. In 2010, after the purchase of Sun by Oracle, the Grid Engine 6.2 update 6 source code was not included with the binaries, and changes were not put back to the project's source repository. In response to this, the Grid Engine community started the Open Grid Scheduler project to continue to develop and maintain a free implementation of Grid Engine. On January 18, 2011, it was announced that Univa had recruited several principal engineers from the former Sun Grid Engine team and that Univa would be developing their own forked version of Grid Engine. The newly announced Univa Grid Engine did include commercial support and would compete with the official version of Oracle Grid Engine. On October 22, 2013, Univa has announced that it had acquired the intellectual property and trademarks pertaining to the Grid Engine technology and that Univa will take over support for Oracle Grid Engine customers. In September 2020, Altair Engineering, a global technology company providing solutions in data analytics, product development, and high-performance computing (HPC) acquired Univa. 2023 the lead developers of Sun Grid Engine, Oracle Grid Engine, Univa Grid Engine and successor decided to build Gridware Cluster Scheduler(GCS) based on their open source Open Cluster Scheduler which is 100% "SGE" backward compatible. == Cluster architecture ==
Cluster architecture
A typical Grid Engine cluster consists of a master host and one or more execution hosts. Multiple shadow masters can also be configured as hot spares, which take over the role of the master when the original master host crashes. ==Support and training==
Support and training
Univa is providing commercial support and training for Univa Grid Engine and Oracle Grid Engine. Below is a description of some of the historic options. Sun provided support contracts for the commercial version of Grid Engine on most UNIX platforms and Windows. Professional services, consulting, training, and support were provided by Sun Partners. Sun partners with Georgetown University to deliver Grid Engine administration classes. The Bioteam runs short SGE training workshops that are 1 or 2 days long. Users obtained community support on the Grid Engine mailing lists. Grid Engine Workshops were held in 2002, 2003, 2007, 2009, and 2012 in Regensburg, Germany. ==Other Grid Engine based products==
Other Grid Engine based products
The below contains historic information and some of the products and solutions are no longer available: • Sun Constellation SystemSun Visualization System • Sun Compute Cluster • ClusterVisionOS Distribution • Rocks Cluster DistributionUniva's UniCluster ExpressUniva Grid Engine • Some Grid Engine active free fork of SGE with "some" further modifications, Michigan Neuroscience Institute, University of Michigan (2021). • Son of Grid Engine active free fork based on the Univa Open Core Grid Engine, which in turn is based on the open source Sun Grid Engine (2025). • BioTeam's iNquiry • Nimbus uses Grid Engine as a virtual machine scheduler in a cloud computing environment ==See also==
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