MSI uses job scheduling queues to efficiently and fairly share MSI resources. The job queues on our systems manage different sets of hardware, and have different limits for quantities such as walltime, available processors, and available memory. When submitting a calculation it is important to choose a queue where the job is suited to the hardware and resource limitations.
Selecting a Queue
Each MSI system contains job queues managing sets of hardware with different resource and policy limitations. MSI currently has two primary systems: the supercomputer Mesabi and the Mesabi expansion Mangi. Mesabi has high-performance hardware and a wide variety of queues suitable for many different job types. Mangi expands Mesabi and should be your first choice for submitting jobs. Which system to choose depends highly on which system has queues appropriate for your software/script. More information about selecting a queue and the different queue parameters can be found in the Choosing A Job Queue quick start guide.
Below is a summary of the available queues organized by system, and the associated queue limitations. The quantities listed are totals or upper limits.
Mangi: Mesabi Expansion
Mangi is a Linux cluster with most nodes using AMD EPYC 7702 processors.
|Queue name||Node Sharing||Max Nodes Per Job||Processor cores per node||Wallclock Limit||Total Node Memory Limit||Advised Per-core Memory Allocation||Local Scratch
|Per User Limits||Service Unit (SU) Rate|
|amdsmall||Yes||1||128||96 hours||250GB||1950MB||429||50 Jobs||1.50 CPU hours/SU|
|amdlarge||No||32||128||24 hours||250GB||1950MB||429||2 Jobs||1.50 CPU hours/SU|
|amd2tb||Yes||1||128||96 hours||2000GB||15500MB||429||1 Job||0.79 CPU hours/SU|
|v100 GPU nodes||No||6||24||24 hours||375GB||3000MB||875||6 Jobs||0.19 CPU hours/SU|
|v100-4 GPU nodes||No||2||24||24 hours||375GB||3000MB||875||2 Jobs||0.10 CPU hours/SU|
|v100-8 GPU nodes||No||1||24||24 hours||375GB||3000MB||875||1 Job||0.06 CPU hours/SU|
|amd_or_intel||Yes||1||*(1)||24 hours||*(1)||*(1)||*(1)||50 Jobs||*(1)|
|mangi||The mangi queue is a meta-queue, which will automatically route jobs to the amdsmall or amdlarge, according to where each job will best fit based on the resource request.|
Service Unit (SU) rate: see above.
(1)Note: The amd_or_intel queue can schedule on nodes that belong to the Mangi amdsmall and Mesabi small queues. Your job will be limited for placement on nodes that meet your resource request.
Mesabi is an HP Linux cluster with most nodes using Haswell E5-2680v3 processors.
|Queue name||Node Sharing||Max Nodes Per Job||Min Nodes Per Job||Processor cores per node||Wallclock Limit||Total Node Memory Limit||Advised Per-core Memory Allocation||Local Scratch
|Per User Limits||Per Group Limits||Service Unit (SU) Rate|
|small(1)||Yes||9||None||24||96 hours||62GB||2580MB||390 GB||500 Jobs||1800 total cores(4)||1.50 CPU hours/SU|
|large||No||48||10||24||24 hours||62GB||2580MB||390 GB||4 Jobs||16 Jobs||1.50 CPU hours/SU|
|widest(5)||No||360||49||24||24 hours||62GB||2580MB||390 GB||4 Jobs||16 Jobs||1.50 CPU hours/SU|
|max||Yes||1||None||24||696 hours||62GB||62GB||390 GB||4 Jobs||16 Jobs||1.50 CPU hours/SU|
|ram256g||Yes||2||None||24||96 hours||251GB||10580MB||390 GB||2 nodes||1800 total cores(4)||1.50 CPU hours/SU|
|ram1t||Yes||2||None||32(3)||96 hours||998GB||31180MB||228 GB||2 nodes||1800 total cores(4)||1.50 CPU hours/SU|
|No||40||None||24||24 hours||125GB||5290MB||390 GB||None||1800 total cores(4)||1.50 CPU hours/SU|
|interactive||Yes||1/2/4(6)||None||24(8)||12 hours||62GB(8)||2580MB(8)||Shared, 228GB/390GB(7)||1 Job||NA||1.50 CPU hours/SU|
|The mesabi queue is a meta-queue, which will automatically route jobs to the small, large, widest, or max queues, according to where each job will best fit based on the resource request.|
Service Unit (SU) rate: see above.
(1)Note: Within the small queue there are 32 nodes with ~440 GB of local SSD space available, accessible at "/scratch.ssd". Please remember that data stored in /scratch.ssd is deleted at the end of each job. To submit a job to an SSD node, modify your PBS script or qsub command with the "ssd" keyword:
#PBS -l nodes=1:ssd:ppn=1,walltime=1:00:00
A list of these SSD-capable nodes can be generated using the command "pbsnodes :ssd".
(2)Note: The k40 queue is for calculations performing GPU computations. Each k40 node is unshared. Jobs without a gpu resource request will be rejected. Each of the k40 nodes contains two NVIDIA K40m GPUs. Reserve GPUs in this queue with the "gpus" keyword:
#PBS -l nodes=1:ppn=24:gpus=2,walltime=1:00:00
(3)Note: The ram1t nodes contain Intel Ivy Bridge processors, which do not support all of the optimized instructions of the Haswell processors. Programs compiled using the Haswell instructions will only run on the Haswell processors.
(4)Note: The 1800 core limit is inclusive for all group jobs in the small, ram256g, ram1t, and k40, queues together. For example, a group simultaneously using 1798 cores in the small queue and 2 cores in the ram1t queue could run no further simultaneous jobs in the small, ram256g, ram1t, or k40, queues.
(5)Note: The widest queue requires special permission to use. Please submit your code for review at: firstname.lastname@example.org
(6)Note: The interactive queue has a limit of 4 processor cores. This can be 1 node with 4 cores, 2 nodes with 2 cores, or 4 nodes with 1 core.
(7)Note: Scratch on these nodes is shared, and total scratch available (228GB or 390GB) depends on which node the job lands on.
(8)Note: The interactive queue has access to nodes from the ram256g and ram1t queues. Refer to those queue constraints if requesting a large amount of resources.
Mesabi Small Queue Characteristics
The Mesabi small queue nodes do not always correspond to separate physical nodes. Instead, the "nodes" are taken to correspond to groups of cores.
For example, if a job requests nodes=2:ppn=4, the scheduler will attempt to find 2 groups of 4 idle cores (8 cores total). The scheduler may assign this job to use 8 cores on a single physical node. For most calculations, it doesn't matter whether the requested cores are on different physical nodes, or on the same physical node, but for some calculations it does matter.
The Mesabi small queue has node sharing enabled, so jobs in the Mesabi small queue that use a fraction of a node will very likely be sharing that node with other jobs. This can affect performance in some cases.