start:policies:loginnodes

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start:policies:loginnodes [2020/04/16 11:43]
jrutte02 created
start:policies:loginnodes [2021/10/01 15:56] (current)
pkeller2
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 Calculations are to be submitted as jobs. This means jobs are not to be run on login-nodes. Processes running directly on these nodes should be limited to tasks such as editing, data transfer and management, data analysis, compiling codes and debugging, as long as it is not resource intensive (memory, cpu, network and/or i/o). Any resource intensive work must be run on the compute nodes through the batch system. Calculations are to be submitted as jobs. This means jobs are not to be run on login-nodes. Processes running directly on these nodes should be limited to tasks such as editing, data transfer and management, data analysis, compiling codes and debugging, as long as it is not resource intensive (memory, cpu, network and/or i/o). Any resource intensive work must be run on the compute nodes through the batch system.
-<callout type="warning" title="Please ..." icon="true"> +In order to give everyone a fair share of the login nodes resources, we have implemented limits: 
-do not impair the work of other users by cluttering login-nodes.+<callout type="warning" title="Resource limits on login nodes" icon="true"> 
 +^ Resource          ^ limit ^ 
 +| Memory | 10 GB | 
 +| CPU cores | 4 |
 </callout> </callout>
 Therefore: Any process that is consuming extensive resources on a login-node may be killed, especially when it begins to impact other users on that node. If a process is creating significant problems in the system, the process will be killed immediately and the user will be contacted via email. Therefore: Any process that is consuming extensive resources on a login-node may be killed, especially when it begins to impact other users on that node. If a process is creating significant problems in the system, the process will be killed immediately and the user will be contacted via email.
  • start/policies/loginnodes.txt
  • Last modified: 2021/10/01 15:56
  • by pkeller2