Available Partitions for Crane

Crane:

last generated 2021-11-27T04:03:47CST

Partition Owner Node total(NODExCPU/MEM/FEATURE) Description SLURM Specification Max Job Run Time Max CPUs Per User Max Jobs PerUser
batch shared 179 total (135x16/64.0GB/ib; 14x36/256.0GB/opa; 26x36/512.0GB/opa; 4x40/1536.0GB/opa) (default, no specification) #SBATCH --partition=batch 7-00:00:00 ib:2160 opa:936 1000
guest shared 168 total (1x12/45.0GB/none; 73x16/64.0GB/ib; 1x20/384.0GB/opa; 65x36/256.0GB/opa; 10x36/512.0GB/opa; 3x40/384.0GB/opa; 6x40/768.0GB/opa; 1x40/1536.0GB/opa; 5x48/192.0GB/none; 3x48/384.0GB/none) Preemtable partition with opa or ib #SBATCH --partition=guest 7-00:00:00 ib:1168 opa:2340 1000
guest_gpu shared 39 total (2x8/64.0GB/opa,gpu_p100,gpu_12gb; 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; 1x36/384.0GB/opa,gpu_v100,gpu_16gb; 20x40/191.0GB/opa,gpu_v100,gpu_32gb; 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_12gb or gpu_v100 or gpu_1080 or gpu_p100 or opa or gpu_1060 or gpu_rtx8000 or gpu_48gb or gpu_32gb or gpu_rtx5000 or gpu_16gb #SBATCH --partition=guest_gpu 7-00:00:00 opa:800 1000
gpu shared 35 total (2x8/64.0GB/opa,gpu_p100,gpu_12gb; 2x12/128.0GB/ib,gpu_k20; 5x16/64.0GB/gpu_k40; 1x36/384.0GB/opa,gpu_v100,gpu_16gb; 21x40/191.0GB/opa,gpu_v100,gpu_32gb; 4x48/191.0GB/gpu_v100,gpu_32gb) Shared resources with gpu_12gb or gpu_v100 or gpu_p100 or opa or gpu_32gb or ib or gpu_k40 or gpu_k20 or gpu_16gb #SBATCH --partition=gpu 7-00:00:00 opa:840 ib:24 1000
alexandrov alexandrov 24 total (24x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=alexandrov 7-00:00:00 ib:384 1000
cbbl cbbl 24 total (24x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=cbbl 7-00:00:00 ib:384 1000
mwrsf reid 16 total (16x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=mwrsf 7-00:00:00 ib:256 1000
zeng zeng 16 total (14x36/256.0GB/opa; 2x36/512.0GB/opa) Dedicated resources with opa #SBATCH --partition=zeng 7-00:00:00 opa:504 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
jclarke jclarke schnablelab 12 total (1x12/45.0GB/none; 1x20/384.0GB/opa; 4x36/256.0GB/opa; 6x36/512.0GB/opa) Dedicated resources with opa #SBATCH --partition=jclarke 7-00:00:00 opa:216 1000
tsymbal tsymbal 10 total (10x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=tsymbal 7-00:00:00 opa:360 1000
cse478 cse478 9 total (3x8/48.0GB/gpu_k20; 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_1080 or gpu_1060 or gpu_p100 or gpu_16gb or gpu_rtx8000 or gpu_48gb or gpu_k20 or gpu_rtx5000 #SBATCH --partition=cse478 7-00:00:00 32 1000
cse478_preempt cse478 9 total (3x8/48.0GB/gpu_k20; 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_1080 or gpu_1060 or gpu_p100 or gpu_16gb or gpu_rtx8000 or gpu_48gb or gpu_k20 or gpu_rtx5000 #SBATCH --partition=cse478_preempt 7-00:00:00 32 1000
scott scott vinod samal 9 total (3x8/48.0GB/gpu_k20; 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_1080 or gpu_1060 or gpu_p100 or gpu_16gb or gpu_rtx8000 or gpu_48gb or gpu_k20 or gpu_rtx5000 #SBATCH --partition=scott 7-00:00:00 32 1000
dixon dixon 8 total (8x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=dixon 7-00:00:00 opa:288 1000
sabirianov sabirianov 8 total (8x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=sabirianov 7-00:00:00 ib:128 1000
larios larios 6 total (4x16/64.0GB/ib; 2x36/256.0GB/opa) Dedicated resources with opa or ib #SBATCH --partition=larios 7-00:00:00 ib:64 opa:72 1000
parklab parklab 6 total (6x40/768.0GB/opa) Dedicated resources with opa #SBATCH --partition=parklab 7-00:00:00 opa:240 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_v100 or gpu_32gb #SBATCH --partition=stats-gaann 7-00:00:00 240 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
choueiry choueiry 4 total (4x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=choueiry 7-00:00:00 opa:144 1000
jaturner jaturner 4 total (4x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=jaturner 7-00:00:00 ib:64 1000
ahouston ahouston 3 total (2x16/64.0GB/ib; 1x36/256.0GB/opa) Dedicated resources with opa or ib #SBATCH --partition=ahouston 28-00:00:00 ib:32 opa:36 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 bartelthunt xuli 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
cb3 cb3 hubnctlab 2 total (2x48/384.0GB/none) Dedicated resources #SBATCH --partition=cb3 7-00:00:00 96 1000
dwyer dwyer 2 total (2x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=dwyer 7-00:00:00 opa:72 1000
esquared esquared dwyer vuran cohen nimbus 2 total (2x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=esquared 7-00:00:00 opa:72 1000
glimpert glimpert 2 total (2x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=glimpert 7-00:00:00 ib:32 1000
ltarunl ltarunl 2 total (2x48/384.0GB/gpu_v100,gpu_32gb) Dedicated resources with gpu_v100 or gpu_32gb #SBATCH --partition=ltarunl 7-00:00:00 96 1000
stats yzstat 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_v100 or gpu_32gb #SBATCH --partition=dlsc 7-00:00:00 48 1000
guda unmc_cbsb unmc_gudalab 1 total (1x36/256.0GB/opa) Dedicated resources with opa #SBATCH --partition=guda 7-00:00:00 opa:36 1000
juancui juancui 1 total (1x36/512.0GB/opa) Dedicated resources with opa #SBATCH --partition=juancui 7-00:00:00 opa:36 1000
nl3wanglab nl3wanglab 1 total (1x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=nl3wanglab 7-00:00:00 ib:16 1000
npod chunglab juancui ramertait samodha unmc_ngs wtp yaolab zempleni 1 total (1x16/64.0GB/ib) Dedicated resources with ib #SBATCH --partition=npod 7-00:00:00 ib:16 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
unsmgenomics unsmgenomics 1 total (1x20/256.0GB/none) Dedicated resources #SBATCH --partition=unsmgenomics 7-00:00:00 20 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_v100 or gpu_32gb #SBATCH --partition=yaolab 7-00:00:00 48 1000