Available Partitions for Swan

Swan:

last generated 2024-04-24T05:03:28CDT

Partition Owner Node total(NODExCPU/MEM/FEATURE) Description SLURM Specification Max Job Run Time Max CPUs Per User Max Jobs PerUser
guest shared 183 total (1x20/370.0GB/opa; 2x32/376.0GB/opa; 1x32/754.0GB/opa; 79x36/250.0GB/opa; 37x36/500.0GB/opa; 3x40/376.0GB/opa; 6x40/750.0GB/opa; 5x40/1510.0GB/opa; 1x48/370.0GB/none; 44x56/250.0GB/cx6; 3x64/250.0GB/none; 1x64/250.0GB/cx6) Preemtable partition with opa or cx6 #SBATCH --partition=guest 7-00:00:00 opa:2844 cx6:2464 1000
batch shared 91 total (3x40/1510.0GB/opa; 86x56/250.0GB/cx6; 2x56/2010.0GB/cx6) (default, no specification) #SBATCH --partition=batch 7-00:00:00 opa:120 cx6:4816 1000
gpu shared 35 total (1x36/376.0GB/opa,gpu_v100,gpu_16gb; 20x40/187.0GB/opa,gpu_v100,gpu_32gb; 2x48/190.0GB/gpu_v100,gpu_32gb; 12x56/250.0GB/gpu_t4,gpu_16gb,cx6) Shared resources with cx6 or opa or gpu_v100 or gpu_32gb or gpu_16gb or gpu_t4 #SBATCH --partition=gpu 7-00:00:00 opa:800 cx6:672 1000
guest_gpu shared 25 total (1x8/92.0GB/gpu_p100; 1x8/125.0GB/gpu_1080; 5x8/187.0GB/opa,gpu_p100,gpu_16gb; 1x16/15.0GB/gpu_1060; 2x16/92.0GB/gpu_rtx5000,gpu_16gb; 1x16/92.0GB/gpu_rtx8000,gpu_48gb; 1x40/187.0GB/opa,gpu_v100,gpu_32gb; 1x48/187.0GB/gpu_v100,gpu_32gb; 1x48/188.0GB/gpu_v100,gpu_32gb; 2x48/190.0GB/gpu_v100,gpu_32gb; 2x48/376.0GB/gpu_v100,gpu_32gb; 2x48/1007.228GB/gpu_a30,gpu_24gb; 1x48/1510.0GB/gpu_v100,gpu_32gb; 1x56/250.0GB/gpu_a100,gpu_80gb; 1x56/2000.0GB/gpu_a100,gpu_80gb; 2x64/1000.0GB/gpu_a6000,gpu_48gb) Preemtable partition with gpu_p100 or gpu_1080 or gpu_rtx5000 or gpu_rtx8000 or opa or gpu_v100 or gpu_32gb or gpu_a30 or gpu_24gb or gpu_a100 or gpu_80gb or gpu_a6000 or gpu_1060 or gpu_16gb or gpu_48gb #SBATCH --partition=guest_gpu 7-00:00:00 opa:40 1000
benson benson 12 total (12x36/250.0GB/opa) Dedicated resources with opa #SBATCH --partition=benson 7-00:00:00 opa:432 1000
dixon dixon 8 total (8x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=dixon 7-00:00:00 cx6:448 1000
alexandrov alexandrov 6 total (6x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=alexandrov 7-00:00:00 cx6:336 1000
cse479 cse479 6 total (1x8/92.0GB/gpu_p100; 1x8/125.0GB/gpu_1080; 1x16/15.0GB/gpu_1060; 2x16/92.0GB/gpu_rtx5000,gpu_16gb; 1x16/92.0GB/gpu_rtx8000,gpu_48gb) Dedicated resources with gpu_p100 or gpu_1080 or gpu_rtx5000 or gpu_rtx8000 or gpu_1060 or gpu_16gb or gpu_48gb #SBATCH --partition=cse479 7-00:00:00 32 1000
cse479_preempt cse479 6 total (1x8/92.0GB/gpu_p100; 1x8/125.0GB/gpu_1080; 1x16/15.0GB/gpu_1060; 2x16/92.0GB/gpu_rtx5000,gpu_16gb; 1x16/92.0GB/gpu_rtx8000,gpu_48gb) Preemtable partition with gpu_p100 or gpu_1080 or gpu_rtx5000 or gpu_rtx8000 or gpu_1060 or gpu_16gb or gpu_48gb #SBATCH --partition=cse479_preempt 7-00:00:00 32 1000
parklab parklab 6 total (6x40/750.0GB/opa) Dedicated resources with opa #SBATCH --partition=parklab 7-00:00:00 opa:240 1000
riethoven riethoven 6 total (3x36/250.0GB/opa; 3x64/250.0GB/none) Dedicated resources with opa #SBATCH --partition=riethoven 7-00:00:00 opa:108 1000
scott scott vinod samal 6 total (1x8/92.0GB/gpu_p100; 1x8/125.0GB/gpu_1080; 1x16/15.0GB/gpu_1060; 2x16/92.0GB/gpu_rtx5000,gpu_16gb; 1x16/92.0GB/gpu_rtx8000,gpu_48gb) Dedicated resources with gpu_p100 or gpu_1080 or gpu_rtx5000 or gpu_rtx8000 or gpu_1060 or gpu_16gb or gpu_48gb #SBATCH --partition=scott 7-00:00:00 32 1000
stats-gaann bilder eblankenship jclarke eskridge yawenguan khanford howard wtp vanderplas rzhangstat yzstat statistics statsgeneral statgrads stattools 6 total (5x48/187.0GB/none; 1x48/188.0GB/gpu_v100,gpu_32gb) Dedicated resources with gpu_v100 or gpu_32gb #SBATCH --partition=stats-gaann 7-00:00:00 240 1000
tsymbal tsymbal 6 total (6x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=tsymbal 7-00:00:00 cx6:336 1000
ahouston ahouston 5 total (5x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=ahouston 7-00:00:00 cx6:280 1000
qinghuilab qinghuilab 5 total (5x8/187.0GB/opa,gpu_p100,gpu_16gb) Dedicated resources with gpu_p100 or opa or gpu_16gb #SBATCH --partition=qinghuilab 7-00:00:00 opa:40 1000
cb3 cb3 hubnctlab 4 total (2x48/376.0GB/none; 2x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=cb3 7-00:00:00 cx6:112 1000
jclarke jclarke schnablelab jyanglab 4 total (1x12/45.0GB/none; 1x20/370.0GB/opa; 2x56/250.0GB/cx6) Dedicated resources with opa or cx6 #SBATCH --partition=jclarke 7-00:00:00 opa:20 cx6:112 1000
awysocki awysocki 3 total (3x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=awysocki 7-00:00:00 cx6:168 1000
hprcc hprcc 3 total (3x40/376.0GB/opa) Dedicated resources with opa #SBATCH --partition=hprcc 7-00:00:00 opa:120 1000
ssbio ssbio 3 total (1x48/190.0GB/gpu_v100,gpu_32gb; 2x56/250.0GB/cx6) Dedicated resources with cx6 or gpu_v100 or gpu_32gb #SBATCH --partition=ssbio 7-00:00:00 cx6:112 1000
yinlab yinlab 3 total (2x32/376.0GB/opa; 1x32/754.0GB/opa) Dedicated resources with opa #SBATCH --partition=yinlab 7-00:00:00 opa:64 1000
dbatur dbatur 2 total (2x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=dbatur 7-00:00:00 cx6:112 1000
joeyaolab joeyaolab 2 total (2x48/1007.228GB/gpu_a30,gpu_24gb) Dedicated resources with gpu_24gb or gpu_a30 #SBATCH --partition=joeyaolab 7-00:00:00 96 1000
ltarunl ltarunl 2 total (2x48/376.0GB/gpu_v100,gpu_32gb) Dedicated resources with gpu_v100 or gpu_32gb #SBATCH --partition=ltarunl 7-00:00:00 96 1000
tpaudel tpaudel 2 total (2x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=tpaudel 7-00:00:00 cx6:112 1000
yaolab yaolab 2 total (1x48/1510.0GB/gpu_v100,gpu_32gb; 1x56/2000.0GB/gpu_a100,gpu_80gb) Dedicated resources with gpu_a100 or gpu_80gb or gpu_v100 or gpu_32gb #SBATCH --partition=yaolab 7-00:00:00 56 1000
armstronggrp armstronggrp 1 total (1x56/250.0GB/gpu_a100,gpu_80gb) Dedicated resources with gpu_80gb or gpu_a100 #SBATCH --partition=armstronggrp 7-00:00:00 56 1000
barbey barbey 1 total (1x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=barbey 7-00:00:00 cx6:56 1000
canlab canlab 1 total (1x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=canlab 7-00:00:00 cx6:56 1000
chaas chaas 1 total (1x48/370.0GB/none) Dedicated resources #SBATCH --partition=chaas 7-00:00:00 48 1000
cseguo cseguo 1 total (1x48/190.0GB/gpu_v100,gpu_32gb) Dedicated resources with gpu_v100 or gpu_32gb #SBATCH --partition=cseguo 7-00:00:00 48 1000
dlsc eichhornlab jclarke khplab mwilsonlab riethoven yesselmanlab 1 total (1x48/187.0GB/gpu_v100,gpu_32gb) Dedicated resources with gpu_v100 or gpu_32gb #SBATCH --partition=dlsc 7-00:00:00 48 1000
huanglab huanglab 1 total (1x64/1000.0GB/gpu_a6000,gpu_48gb) Dedicated resources with gpu_48gb or gpu_a6000 #SBATCH --partition=huanglab 7-00:00:00 64 1000
ideaunmc ideaunmc unmc_cbsb unmc_gudalab 1 total (1x64/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=ideaunmc 7-00:00:00 cx6:64 1000
lzhangbioc lzhangbioc 1 total (1x64/1000.0GB/gpu_a6000,gpu_48gb) Dedicated resources with gpu_48gb or gpu_a6000 #SBATCH --partition=lzhangbioc 7-00:00:00 64 1000
nl3wanglab nl3wanglab 1 total (1x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=nl3wanglab 7-00:00:00 cx6:56 1000
sabirianov sabirianov 1 total (1x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=sabirianov 7-00:00:00 cx6:56 1000
samodha samodha 1 total (1x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=samodha 7-00:00:00 cx6:56 1000
songlab songlab 1 total (1x40/1510.0GB/opa) Dedicated resources with opa #SBATCH --partition=songlab 7-00:00:00 opa:40 1000
unmc_cbsb unmc_cbsb unmc_gudalab 1 total (1x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=unmc_cbsb 7-00:00:00 cx6:56 1000
waterforfood waterforfood 1 total (1x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=waterforfood 7-00:00:00 cx6:56 1000
zhao zhao 1 total (1x56/250.0GB/cx6) Dedicated resources with cx6 #SBATCH --partition=zhao 7-00:00:00 cx6:56 1000