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Storage Allocations

See our new Storage page for:

When you obtain a new HPC account, you will be provided with the following storage:

Permanent Storage
/home/uxx/netid50 GBIndividual allocations specific to each user.
/groups/PI500 GBComing Soon: Allocated as a communal space to each PI and their
group members.
Temporary Storage
/xdisk/PIUp to 20 TBRequested at the PI level. Available for up to 150 days
with one 150 day extension possible for a total of 300
/tmp~1640 GB NVMe    (Coming with New HPC Q1 2020)
~840 GB spinning  (Ocelote)
~840 GB spinning  (El Gato)
Local storage specific to each compute node. Usable
as a scratch space for compute jobs. Not accessible 
once jobs end. 

Job Allocations

All University of Arizona Principal Investigators (PIs; aka Faculty) that register for access to the UA High Performance Computing (HPC) receive allocation on the HPC machines which is shared among all members of their team. Currently all PIs receive:

HPC MachineStandard Allocation Time per Month per PIWindfall
Puma70,000 CPU*Hours per monthUnlimited but can be pre-empted
Ocelote36,000 CPU*Hours per monthUnlimited but can be pre-empted
El Gato7,000 CPU*Hours per monthUnlimited but can be pre-empted

Best practices

  1. Use your standard allocation first! The standard allocation is guaranteed time on the HPC. It refreshes monthly and does not accrue (if a month's allocation isn't used it is lost).
  2. Use the windfall queue when your standard allocation is exhausted. Windfall provides unlimited CPU-hours, but jobs in this queue can be stopped and restarted (pre-empted) by standard jobs.
  3. Last resort for tight deadlines: PIs can request a special project allocation once per year (; under the Support tab). Requesting a special project will provide qualified hours which are effectively the same as standard hours.

How to Find Your Remaining Allocation

You can view your remaining allocation using the HPC User Portal at
PIs can create groups, manage time in each of their groups, subdivide their allocation etc. in the user portal as well.

The command va will display your remaining time on the terminal.

You can use this time on either the standard nodes which do not require special attributes in the scheduler script, or on the GPU nodes which do require special attributes. The queues are set up so that jobs that do not request GPU's will not run there.

ElGato has a different allocation method of time as it is funded through an NSF MRI grant with usage time provided for campus researchers outside of the grant recipients.

 PBS Batch Queues

The batch queues on the different systems have the following memory, time and core limits.

debugUsed as a high priority to test code or jobs.
standardUsed to consume the monthly allocation of hours provided to each group
windfallUsed when standard is depleted but subject to preemption
high_priorityUsed by 'buy-in' users for purchased nodes
qualifiedUsed by groups who have a temporary special project allocation

Job Resource Limits


 Queue Name

 # of Compute Nodes

 Max Wallclock Hrs per Job

 Largest job (max cores)

Total cores in use per group

 Largest job (max memory GB)

 Max # of Running Jobs

Max Queued Jobs
Ocelotedebug210 minutes565633625


2016 ***






El Gatostandard1312405125121024751000



***  This limit is shared by all members of a group across all queues. So you can use the system 2016 core limit by one user on the standard queue or share it across multiple users or queues. 

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