Difference between revisions of "SLURM Partitions"

Line 167: Line 167:
|24
|24
|4x QDR IB
|4x QDR IB
|15
|10
|360
|240
|n/a
|n/a
|ib_qdr, ib_psm, avx, avx2, sse4_1, sse4_2, gpfs, cpu_xeon, xeon_E52650
|ib_qdr, ib_psm, avx, avx2, sse4_1, sse4_2, gpfs, cpu_xeon, xeon_E52650

Revision as of 16:36, 7 December 2018

SLURM Partitions

Dispatching

It is really no longer necessary to discuss queues in the traditional sense. In the past, we would create queues based on pools of hardware resources. If a user wanted to utilize a particular hardware resource, he or she would request the appropriate queue. Most times, however, what the user wants and what is best for the user or what is best for all users are not necessarily the same. Allowing individuals to dictate where their jobs will run will inevitably lead to throughput problems since it would be unreasonable to expect the users to understand the complete state and behavior of the scheduler.

Below is a general description of how jobs make their way through the queue. Please see Scheduling and Dispatch Policy for more information.

When a user submits a job to a specific partiton, the scheduler determines if the requested hardware/time requirements of the job (see Using Features) match up with the resources the partition provides. If it does, the job is executed if there are available resources. If there are no available resources, the job will be held until the next scheduler iteration, to see if resources have become available.

“Available resources” include processors and memory. Processors generally match up to the number of slots in a given queue while memory is defined as a complex value which may not be so obvious to query. If your job is waiting in the qw state, it is likely that either the slots requested or the memory requested are beyond what the system can provide at that particular point in time.

CIRCE Partitions

CIRCE Node Sets

The following node sets are available:

Memory CPU Cores Interconnect Nodes Slots GPUs Constraint Flags Location
24GB Opteron 2384 12 4x DDR IB 32 384 n/a ib_ddr, ib_psm, tpa, sse4, sse4a, cpu_amd, opteron_2384 Tampa
24GB Xeon E5649 12 4x QDR IB 107 1284 8 ib_qdr, ib_psm, sse4, sse41, sse42, cpu_xeon, xeon_E5649 Tampa
24GB Xeon E5-2630 12 4x QDR IB 67 804 n/a ib_qdr, ib_psm, sse41, sse42, avx, cpu_xeon, xeon_E52630 Tampa
24GB Xeon E5649 12 4x QDR IB 14 168 n/a ib_qdr, ib_ofa, sse41, sse42, avx, cpu_xeon, xeon_E5649 Tampa
32GB Xeon E5-2670 16 4x QDR IB 129 2064 40 ib_qdr, ib_psm, sse4, sse41, sse42, avx, cpu_xeon, xeon_E52670, gpu_K20 Tampa
512GB Xeon E5-2650 20 4x QDR IB 3 60 n/a ib_qdr, ib_psm, tpa, sse4_1, sse4_2, avx, avx2, gpfs, cpu_xeon, xeon_E52650, mem_512G Tampa
Total 4764 48

CIRCE Partition Layout

The node sets are associated with the following queues:

Queue Name Max Runtime QOS' Required Description (Preempt Grace Period) Notes
circe 1 week none default general-purpose queue The default partition if no partition is specified
cuda 1 week none CUDA GPU nodes
devel 30 minutes devel development partition max: 24 cores and 2 nodes per user
mri2016 2 days mri16, preempt MRI nodes (2 hour grace period) *See Preemption Guidelines for more info
himem 1 week memaccess large memory job queue (>= 64 GB) To request access, email rc-help@usf.edu
cms2016 1 week cms16 CMS nodes
  • Note: For jobs requiring longer than 1 week to run, please email rc-help@usf.edu with your project details (hardware/runtime requested, duration of project, etc).

SC Partitions

SC Node Sets

The following node sets are available:

Memory CPU Cores Interconnect Nodes Slots GPUs Constraint Flags Location
64GB Xeon E5-2650 v4 24 4x QDR IB 10 240 n/a ib_qdr, ib_psm, avx, avx2, sse4_1, sse4_2, gpfs, cpu_xeon, xeon_E52650 Tampa
48GB Xeon E5649 12 4x QDR IB 7 84 7 ib_qdr, ib_psm, avx, avx2, sse4_1, sse4_2, gpfs, cpu_xeon, xeon_E5649 Tampa
Total 444 7

SC Partition Layout

The node sets are associated with the following queues:

Queue Name Max Runtime QOS' Required Description Notes
sc 2 days none default general-purpose queue The default partition if no partition is specified
cuda 2 days none CUDA GPU nodes