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Among open source schedulers two are the most prominent:
HPC Schedulers are essential for sequentially queuing jobs, assigning priorities, distributing, parallelizing, suspending, killing or otherwise controlling jobs cluster-wide.
Those product are complex software which requires good documentation and extensive experience to be used productively. On most sites those scheduler are used in the most primitive form possible, essentially as a replacement of batch command in Linux. Researchers who are using HPC clusters typically do not understand even 5% of functionality. They mostly rely on borrowed submission script and as soon as they manage to get their job is running are happy.
At the same time there are complex issues that are connected with those schedulers, such as using with commercial software which uses so called "license token" (Accelrys is one example ). In this case you can schedule the job because resources are available, but it will not run because there are insufficient software token to run ti.
There also complex issues which arise when the application used MPI.
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Comparison of cluster software - Wikipedia
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