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10 minutes before the first job: Difference between revisions
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== compute server == | == compute server == | ||
The frontend nodes have a cpu timelimit of 2h configured. Do not run compute | |||
intensive jobs on frontend nodes. | |||
Cray Hazel Hen: this system is NOT a cluster. Here we decribe two topics which | Cray Hazel Hen: this system is NOT a cluster. Here we decribe two topics which | ||
caused multiple times | caused trouble multiple times: | ||
* to start parallel tasks, using aprun is required (NOT mpirun!!!) if you start | * to start parallel tasks, using aprun is required (NOT mpirun!!!) if you start | ||
a parallel job using a wrong mechanism, this may cause trouble for all users | a parallel job using a wrong mechanism, this may cause trouble for all users | ||
* a task using large amount of | * a task using large amount of memory shold be started on a compute node, use | ||
aprun to do so | |||
Revision as of 15:33, 27 February 2018
We ask all users of any server operated by HLRS
Please take 10 minutes to read this article completly!
Within this page we describe basic rules as short as possible, if you want to
know more within this topic, follow the link. But again please read at least
this page!
Storage Storage_usage_policy
No Backup on any filesystem. Please copy important data into the archive.
HOME: Do not run any computational (IO - intensive) job within the HOME directory. For compute jobs use the work space!
Workspace Workspace_mechanism is an expensive ressource. It is intended for active projects only. Move suspended projects into the archive. Each workspace has a lifetime, if this liftime is exceeded, all data will be deleted (automatic). It is possible to receive an email reminder. Copy important data into the archive!
Archive: do not store small file in the archive. Please check HPSS_User_Access for more information.
compute server
The frontend nodes have a cpu timelimit of 2h configured. Do not run compute intensive jobs on frontend nodes.
Cray Hazel Hen: this system is NOT a cluster. Here we decribe two topics which caused trouble multiple times:
* to start parallel tasks, using aprun is required (NOT mpirun!!!) if you start
a parallel job using a wrong mechanism, this may cause trouble for all users
* a task using large amount of memory shold be started on a compute node, use
aprun to do so