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Private partition specifications

Deeplearn

The deeplearn partition has been bought for use by Computing and Information Systems research staff and students

Node name Nodes Cores/node Memory/node (MB) Processor GPU Type GPU Memory Slurm node type
spartan-gpgpu[091-096] 6 32 234000 Intel(R) Xeon(R) Gold 6326 CPU @ 2.90GHz A100 40GB GPU RAM per GPU dlg4
spartan-gpgpu[065-071,132-143,160,166-169] 24 32 1000000 Intel(R) Xeon(R) Gold 6326 CPU @ 2.90GHz A100 80GB GPU RAM per GPU dlg5
spartan-gpgpu170 1 64 975000 Intel(R) Xeon(R) Platinum 8462Y+ H100 80GB GPU RAM per GPU dlg6

Note

The deeplearn partition is available to specific Computing and Information Systems projects only. You can request access to it at the time of creating a Spartan account, or by submitting a help ticket.

To access the deeplearn partition:

#SBATCH --partition=deeplearn
#SBATCH --qos=gpgpudeeplearn

To specify that your job should only run on a specific node type, add a constraint to your submission script. e.g. to specify the V100SXM2 nodes, add #SBATCH --constraint=dlg3 to your submit script.

feit-gpu-a100

The feit-gpu-a100 partition has been bought for use by FEIT research staff and students.

Node name Nodes Cores/node Memory/node (MB) Processor GPU Type GPU Memory Slurm node type
spartan-gpgpu[144-159,161-165] 21 32 1000000 Intel(R) Xeon(R) Gold 6326 CPU @ 2.90GHz A100 80GB GPU RAM per GPU

Note

The feit-gpu-a100 partition is available to FEIT projects only. You can request access to it at the time of creating a Spartan account, or by submitting a help ticket.

To access the feit-gpu-a100 partition:

#SBATCH --partition=feit-gpu-a100
#SBATCH --qos=feit

fos-gpu-l40s

The fos-gpu-l40s partition has been bought for use by Faculty of Science research staff and students.

Node name Nodes Cores/node Memory/node (MB) Processor GPU Type GPU Memory Slurm node type
spartan-gpgpu[181-192] 12 64 950000 INTEL(R) XEON(R) PLATINUM 8562Y+ L40S 48GB GPU RAM per GPU

Note

The fos-gpu-l40s partition is available to Faculty of Science projects only. You can request access to it at the time of creating a Spartan account, or by submitting a help ticket.

To access the fos-gpu-l40s partition:

#SBATCH --partition=fos-gpu-l40s
#SBATCH --qos=fos

fos

The fos partition has been bought for use by Faculty of Science research staff and students.

Node name Nodes Cores/node Memory/node (MB) Processor Slurm node type
spartan-bm[182-185] 4 128 2001000 Intel(R) Xeon(R) Gold 6448H avx512, sr

Note

The fos partition is available to Faculty of Science projects only. You can request access to it at the time of creating a Spartan account, or by submitting a help ticket.

To access the fos partition:

#SBATCH --partition=fos
#SBATCH --qos=fos