Compute Resources
Compute Resources
CPUs
- Resources are orgnized into partitions on the cluster based on functionality and priority.
- After logging in on the HPC cluster, you can use command
sinfo
to check thepartition
you have access to (all partitions listed in thesinfo
output).
sinfo
output
PARTITION AVAIL TIMELIMIT NODES STATE NODELIST
interactive up 4:00:00 1 mix c1cmp064
interactive up 4:00:00 1 idle c1cmp063
batch* up 7-00:00:00 1 down* p1cmp005
batch* up 7-00:00:00 1 drain p1cmp056
batch* up 7-00:00:00 16 resv c1cmp[009,033,035-039,044-049],p1cmp[004,009,054]
batch* up 7-00:00:00 34 mix c1cmp[003-008,010-020,023-024,034,040-043,051-052,054],i2cmp001,p1cmp[003,012,015,018,020-021]
batch* up 7-00:00:00 17 alloc c1cmp[021-022,053],i2cmp003,p1cmp[001,006-008,010-011,013-014,019,022-024,055]
batch* up 7-00:00:00 2 idle p1cmp[016-017]
mpi up 7-00:00:00 1 down* p1cmp005
mpi up 7-00:00:00 1 drain p1cmp056
mpi up 7-00:00:00 16 resv c1cmp[009,033,035-039,044-049],p1cmp[004,009,054]
mpi up 7-00:00:00 34 mix c1cmp[003-008,010-020,023-024,034,040-043,051-052,054],i2cmp001,p1cmp[003,012,015,018,020-021]
mpi up 7-00:00:00 16 alloc c1cmp[021-022,053],p1cmp[001,006-008,010-011,013-014,019,022-024,055]
mpi up 7-00:00:00 2 idle p1cmp[016-017]
gpu up 7-00:00:00 1 mix p1cmp073
gpu up 7-00:00:00 2 alloc c1cmp[025-026]
largemem up 7-00:00:00 7 mix c1cmp[027-028,030,057,061-062],i2cmp055
largemem up 7-00:00:00 2 alloc p1cmp[049-050]
largemem up 7-00:00:00 3 idle c1cmp[032,058-059]
preempt up 7-00:00:00 2 mix$ p1cmp[094-095]
preempt up 7-00:00:00 4 maint p1cmp[090,092,103,109]
preempt up 7-00:00:00 1 down* p1cmp005
preempt up 7-00:00:00 2 drain p1cmp[038,056]
preempt up 7-00:00:00 3 resv p1cmp[004,009,054]
preempt up 7-00:00:00 71 mix cc1gpu[001-005],i2cmp[010-032,038-043,045-051],p1cmp[003,012,015,018,020-021,070-077,079-080,091,093,096,098-102,104-108,110]
preempt up 7-00:00:00 25 alloc c1cmp[025-026],i2cmp[004-006,008-009,033-035,037,052-053],p1cmp[006-008,010-011,013-014,019,022-024,055]
preempt up 7-00:00:00 20 idle p1cmp[016-017,031-037,039-042,081-086,097]
-
If you are curious about nodes and the details of those nodes you can go to:
- OnDemand
Misc
>Inventory
to dipslay more node details (core count & memory)
- OnDemand
GPUs
-
NVIDIA GPUs are available in
gpu
andpreempt
partitions -
Request GPU resources with
--gres
. See details below. - Please DO NOT manually set
CUDA_VISIBLE_DEVICES
. - Users can ONLY see GPU devices that are assigned to them with
$ nvidia-smi
. gpu
partition-p gpu
:- NVIDIA P100s
- In "gpu" partition
- Request with:
--gres=gpu:p100:1
(one P100 GPU, can request up to 6 on one node)
- NVIDIA Tesla K20xm
- In "gpu" partition
- Request with:
--gres=gpu:k20xm:1
(one Tesla K20xm GPU, can request up to 1 on one node)
preempt
partition-p preempt
:a100
,v100
,p100
,rtx_6000
,t4
- NVIDIA T4
- In "preempt" partition
- Request with:
--gres=gpu:t4:1
(one T4 GPU, can request up to 4 on one node)
- NVIDIA P100
- In "preempt" partition
- Request with:
--gres=gpu:p100:1
(one P100 GPU, can request up to 4 on one node)
- NVIDIA rtx_6000
- In "preempt" partition
- Request with:
--gres=gpu:rtx_6000:1
(one RTX_6000 GPU, can request up to 8 on one node)
- NVIDIA V100
- In "preempt" partition
- Request with:
--gres=gpu:v100:1
(one V100 GPU, can request up to 4 on one node)
- NVIDIA A100
- In "preempt" partition
- Request with:
--gres=gpu:a100:1
(one A100 GPU, can request up to 8 on one node)