Available Partitions for Crane

Crane:

last generated 2023-03-26T05:03:23CDT

Partition Owner Node total(NODExCPU/MEM/FEATURE) Description SLURM Specification Max Job Run Time Max CPUs Per User Max Jobs PerUser
batch shared 285 total (207x16/64.0GB/ib; 43x36/256.0GB/opa; 31x36/512.0GB/opa; 4x40/1536.0GB/opa) (default, no specification) #SBATCH --partition=batch 7-00:00:00 ib:3312 opa:1548 1000
guest shared 82 total (1x12/45.0GB/none; 17x16/64.0GB/ib; 1x20/384.0GB/opa; 36x36/256.0GB/opa; 6x36/512.0GB/opa; 3x40/384.0GB/opa; 6x40/768.0GB/opa; 1x40/1536.0GB/opa; 5x48/192.0GB/none; 3x48/384.0GB/none; 2x56/251.0GB/none; 1x56/256.0GB/none) Preemtable partition with opa or ib #SBATCH --partition=guest 7-00:00:00 ib:272 opa:1296 1000
gpu shared 24 total (2x8/64.0GB/opa,gpu_p100,gpu_12gb; 1x36/384.0GB/opa,gpu_v100,gpu_16gb; 21x40/191.0GB/opa,gpu_v100,gpu_32gb) Shared resources with gpu_12gb or gpu_16gb or opa or gpu_v100 or gpu_p100 or gpu_32gb #SBATCH --partition=gpu 7-00:00:00 opa:840 1000
guest_gpu shared 16 total (1x8/95.0GB/gpu_p100; 1x8/128.0GB/gpu_1080; 5x8/191.0GB/opa,gpu_p100,gpu_16gb; 1x16/15.0GB/gpu_1060; 2x16/95.0GB/gpu_rtx5000,gpu_16gb; 1x16/95.0GB/gpu_rtx8000,gpu_48gb; 2x48/191.0GB/gpu_v100,gpu_32gb; 2x48/384.0GB/gpu_v100,gpu_32gb; 1x48/1536.0GB/gpu_v100,gpu_32gb) Preemtable partition with gpu_rtx5000 or gpu_rtx8000 or gpu_16gb or gpu_48gb or gpu_1060 or opa or gpu_1080 or gpu_v100 or gpu_p100 or gpu_32gb #SBATCH --partition=guest_gpu 7-00:00:00 opa:40 1000
tmp_anvil shared 13 total (13x20/256.0GB/none) Shared resources #SBATCH --partition=tmp_anvil 7-00:00:00 260 1000
benson benson 12 total (12x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=benson 7-00:00:00 opa:432 1000
ahouston ahouston 8 total (8x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=ahouston 14-00:00:00 opa:288 1000
alexandrov alexandrov 8 total (8x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=alexandrov 7-00:00:00 ib:128 1000
cse479 cse479 6 total (1x8/95.0GB/gpu_p100; 1x8/128.0GB/gpu_1080; 1x16/15.0GB/gpu_1060; 2x16/95.0GB/gpu_rtx5000,gpu_16gb; 1x16/95.0GB/gpu_rtx8000,gpu_48gb) Dedicated resources with gpu_rtx5000 or gpu_rtx8000 or gpu_16gb or gpu_48gb or gpu_1060 or gpu_1080 or gpu_p100 #SBATCH --partition=cse479 7-00:00:00 32 1000
cse479_preempt cse479 6 total (1x8/95.0GB/gpu_p100; 1x8/128.0GB/gpu_1080; 1x16/15.0GB/gpu_1060; 2x16/95.0GB/gpu_rtx5000,gpu_16gb; 1x16/95.0GB/gpu_rtx8000,gpu_48gb) Preemtable partition with gpu_rtx5000 or gpu_rtx8000 or gpu_16gb or gpu_48gb or gpu_1060 or gpu_1080 or gpu_p100 #SBATCH --partition=cse479_preempt 7-00:00:00 32 1000
parklab parklab 6 total (6x40/768.0GB/opa) Dedicated resources with opa #SBATCH --partition=parklab 7-00:00:00 opa:240 1000
scott scott vinod samal 6 total (1x8/95.0GB/gpu_p100; 1x8/128.0GB/gpu_1080; 1x16/15.0GB/gpu_1060; 2x16/95.0GB/gpu_rtx5000,gpu_16gb; 1x16/95.0GB/gpu_rtx8000,gpu_48gb) Dedicated resources with gpu_rtx5000 or gpu_rtx8000 or gpu_16gb or gpu_48gb or gpu_1060 or gpu_1080 or gpu_p100 #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 (1x48/191.0GB/gpu_v100,gpu_32gb; 5x48/192.0GB/none) Dedicated resources with gpu_32gb or gpu_v100 #SBATCH --partition=stats-gaann 7-00:00:00 240 1000
tsymbal tsymbal 6 total (6x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=tsymbal 7-00:00:00 opa:216 1000
qinghuilab qinghuilab 5 total (5x8/191.0GB/opa,gpu_p100,gpu_16gb) Dedicated resources with opa or gpu_16gb or gpu_p100 #SBATCH --partition=qinghuilab 7-00:00:00 opa:40 1000
cb3 cb3 hubnctlab 4 total (2x48/384.0GB/none; 2x56/251.0GB/none) Dedicated resources #SBATCH --partition=cb3 7-00:00:00 112 1000
jaturner jaturner 4 total (4x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=jaturner 7-00:00:00 ib:64 1000
samodha samodha 4 total (4x36/512.0GB/opa) Dedicated resources with opa #SBATCH --partition=samodha 7-00:00:00 opa:144 1000
dsl dsl 3 total (3x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=dsl 7-00:00:00 opa:108 1000
hprcc hprcc 3 total (3x40/384.0GB/opa) Dedicated resources with opa #SBATCH --partition=hprcc 7-00:00:00 opa:120 1000
riethoven riethoven 3 total (3x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=riethoven 7-00:00:00 opa:108 1000
yinlab yinlab 3 total (2x32/384.0GB/opa; 1x32/768.0GB/opa) Dedicated resources with opa #SBATCH --partition=yinlab 7-00:00:00 opa:64 1000
glimpert glimpert 2 total (2x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=glimpert 7-00:00:00 ib:32 1000
jclarke jclarke schnablelab jyanglab 2 total (1x12/45.0GB/none; 1x20/384.0GB/opa) Dedicated resources with opa #SBATCH --partition=jclarke 7-00:00:00 opa:20 1000
ltarunl ltarunl 2 total (2x48/384.0GB/gpu_v100,gpu_32gb) Dedicated resources with gpu_32gb or gpu_v100 #SBATCH --partition=ltarunl 7-00:00:00 96 1000
stats yawenguan 2 total (2x32/256.0GB/ib) Dedicated resources with ib #SBATCH --partition=stats 14-00:00:00 ib:64 1000
twidwell twidwell 2 total (2x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=twidwell 7-00:00:00 ib:32 1000
abg anscgenomics rmlewis 1 total (1x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=abg 7-00:00:00 ib:16 1000
chaas chaas 1 total (1x48/384.0GB/none) Dedicated resources #SBATCH --partition=chaas 7-00:00:00 48 1000
dlsc eichhornlab jclarke khplab mwilsonlab riethoven yesselmanlab 1 total (1x48/191.0GB/gpu_v100,gpu_32gb) Dedicated resources with gpu_32gb or gpu_v100 #SBATCH --partition=dlsc 7-00:00:00 48 1000
sabirianov sabirianov 1 total (1x56/256.0GB/none) Dedicated resources #SBATCH --partition=sabirianov 7-00:00:00 56 1000
songlab songlab 1 total (1x40/1536.0GB/opa) Dedicated resources with opa #SBATCH --partition=songlab 7-00:00:00 opa:40 1000
starace starace 1 total (1x36/512.0GB/opa) Dedicated resources with opa #SBATCH --partition=starace 7-00:00:00 opa:36 1000
waterforfood waterforfood 1 total (1x36/512.0GB/opa) Dedicated resources with opa #SBATCH --partition=waterforfood 7-00:00:00 opa:36 1000
yaolab yaolab 1 total (1x48/1536.0GB/gpu_v100,gpu_32gb) Dedicated resources with gpu_32gb or gpu_v100 #SBATCH --partition=yaolab 7-00:00:00 48 1000
zinmetrics zinmetrics 1 total (1x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=zinmetrics 7-00:00:00 opa:36 1000