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Both Sol and Phoenix use the same partition and QoS options. Reference this page to help select the best option for your job.
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If not explicitly defined, jobs will default to the HTC partition and public QoS. |
Partitions
general
The general-use partition comprises all Research Computing-owned nodes. This partition has a wall time limit of 7 days. CPU-only, GPU-accelerated, and FPGA-accelerated jobs will typically use this.
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The lightwork partition is aimed at jobs that require relatively less computing power than typical supercomputing jobs and may stay idle for larger amounts of time. Great examples of this would be creating mamba environments, compiling software, VSCode tunnels, or basic software tests. The aux-interactive command will automatically allocate on the lightwork partition.
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#SBATCH -p lightwork #SBATCH -t 1-00:00:00 interactive -p lightwork --mem=1000G10G |
The maximum job time is one day, and the maximum CPU cores per node are 8:
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[spock@sg008:~]$ scontrol show partition lightwork
PartitionName=lightwork
AllowGroups=ALL AllowAccounts=ALL AllowQos=public,debug
AllocNodes=ALL Default=NO QoS=public
DefaultTime=04:00:00 DisableRootJobs=NO ExclusiveUser=NO GraceTime=0 Hidden=NO
MaxNodes=UNLIMITED MaxTime=1-00:00:00 MinNodes=0 LLN=NO MaxCPUsPerNode=8 MaxCPUsPerSocket=UNLIMITED
Nodes=sc[001-002] |
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Jobs that utilize cores to their full potential are more appropriately used in |
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This is a special-case QOS not available by default, it is granted on a user-by-user basis; if you are interested in using this QOS, please be ready to share a job ID demonstrating the need and effective use of existing core allocations. If you have any questions, feel free to ask staff and also explore the Slurm EFFiciency reporter: /wiki/spaces/RC/pages/395083777
class
The class QOS is a special QoS for users who have access to Sol as part of an academic course. The class QOS has additional resource limitations to ensure that jobs start sooner and resources are utilized effectively. These resource limits are:
Job Resource Limits:
Maximum of 32 CPU cores, 320 GB memory, and 4 GPUs per job
Maximum wall time of 24 hours per job
User-Level Limits:
Maximum of 2 jobs running concurrently per user
Maximum of 10 jobs in the queue per user
Maximum of 960 GPU running minutes per user (equivalent to 1 GPU for 16 hours or 4 GPUs for 4 hours, shared across running jobs)
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#SBATCH -p general
#SBATCH -q class
interactive -p general -q class |
Users who have access to Sol as both an academic course and research account may need to specify which account to submit a job to. This can be done with the -A flag.
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interactive -p general -q class -A class_asu101spring2025
interactive -p general -q public -A grp_mylab
#SBATCH -p general
#SBATCH -q class
#SBATCH -A grp_asu101spring2025
#SBATCH -p general
#SBATCH -q public
#SBATCH -A grp_mylab |
To see which accounts you have, run the command myfairshare
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myfairshare
Account User RawUsage_CHE RawFairShare TargetFairShare RealFairShare
class_asu101spring2025 jeburks2 0.0 1.000000 1.0000000 1.0000000
grp_mylab jeburks2 61.1 0.043506 0.9957724 0.0435060 |
Additional Help
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