# How do I check the status of HPC systems?

**URL:** <https://ask.cyberinfrastructure.org/t/how-do-i-check-the-status-of-hpc-systems/1296>\
**Category:** Ohio Supercomputer\
**Tags:** systems\
**Created:** [March 16, 2020, 8:51pm UTC](https://ask.cyberinfrastructure.org/t/how-do-i-check-the-status-of-hpc-systems/1296 "2020-03-16T20:51:52Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![tellison](https://ask.cyberinfrastructure.org/letter_avatar_proxy/v4/letter/t/ee59a6/32.png) [@tellison](https://ask.cyberinfrastructure.org/u/tellison)\
**Post date:** [March 16, 2020, 8:51pm UTC](https://ask.cyberinfrastructure.org/t/how-do-i-check-the-status-of-hpc-systems/1296/1 "2020-03-16T20:51:52Z")

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How can I check the current status reports on any of the HPC clusters at OSC?

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<div class="post-metadata">

**Author:** ![tellison](https://ask.cyberinfrastructure.org/letter_avatar_proxy/v4/letter/t/ee59a6/32.png) [@tellison](https://ask.cyberinfrastructure.org/u/tellison)\
**Post date:** [March 16, 2020, 8:54pm UTC](https://ask.cyberinfrastructure.org/t/how-do-i-check-the-status-of-hpc-systems/1296/2 "2020-03-16T20:54:19Z")

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There are currently three methods to check the status of HPC clusters at OSC. The most general method is through OnDemand. By logging into the OnDemand Dashboard, you can click “show status” under the “Clusters” tab to see a page reporting the entire system’s status. This includes the nodes and cores in use, and the number of running, queued, and blocked jobs for each cluster. Clicking on any cluster will take you to a more in-depth rundown of that system’s performance. More information, as well as a picture of the OnDemand system status page, can be found at [https://www.osc.edu/resources/online\_portals/ondemand](https://www.osc.edu/resources/online_portals/ondemand) under “system status”

The second method is using the `showq` command. When you are logged in to one of the HPC clusters, typing `showq` will list all the current job information as seen by the scheduler. This will group jobs in by their state (running, idle, or blocked). `showq` will show the job’s ID, user, state, cores used, time remaining or walltime, and starttime or queuetime. More information can be found at [https://www.osc.edu/supercomputing/batch-processing-at-osc/monitoring-and-managing-your-job](https://www.osc.edu/supercomputing/batch-processing-at-osc/monitoring-and-managing-your-job) under “showq”

The last method is using the checkgpu command. This command reports information regarding OSC’s GPU nodes. This command can report:

- The total number of jobs using gpu nodes `checkgpu -j/--jobs`
- The total number of running jobs using gpu nodes `checkgpu -j/--jobs -r/--run`
- The total number of queued jobs using gpu nodes `checkgpu -j/--jobs -q/--queued`
- The total usage of the gpu nodes `checkgpu -n/--node`
- The total number of used gpu nodes `checkgpu -n/--node -u/--used`
- The total number of available gpu nodes `checkgpu -n/--node -a/--avail`
- Any report can be expanded to report individual job and node reports using `-v/--verbose`

For more information please refer to [https://www.osc.edu/resources/getting\_started/osc\_custom\_commands/checkgpu\_command](https://www.osc.edu/resources/getting_started/osc_custom_commands/checkgpu_command)