$ node_stat.py -q batch
---------- CPU ---------- ---------- MEM ----------
n310 [ ||||||||||||||||||||||||| ] [ ||||||||||||||||||||||||| ] CPU: 0/32 MEM: 7/503 GB Idle
n309 [ ||||||||||||||||||||||||| ] [ ||||||||||||||||||||||||| ] CPU: 0/32 MEM: 7/503 GB Idle
n308 [ ||||||||||||||||||||||||| ] [ ||||||||||||||||||||||||| ] CPU: 0/32 MEM: 7/503 GB Idle
n307 [ ||||||||||||||||||||||||| ] [ ||||||||||||||||||||||||| ] CPU: 0/32 MEM: 7/503 GB Idle
#PBS -l nodes=n310:ppn=32 -l mem=200gb -l walltime=400:00:00
$ mdiag -v -n n310
compute node summary
Name State Procs Memory Disk Swap Speed Opsys Arch Par Load Classes Features
n310 Idle 32:32 507746:515553 855306:901183 511842:519649 1.00 linux - dis 0.08 [batch][pb_q] pbdev,ephi,AMD,EDR,EPYC,AMD_EDR GRES=lscratch:875833360,socket:1,numanode:4,core:32,thread:32 NODEINDEX=310
----- --- 32:32 507746:515553 855306:901183 511842:519649
Total Nodes: 1 (Active: 0 Idle: 1 Down: 0)
[batch]designation that have much higher memory availability than other nodes32threads and200GBmemory to batch but it stayed in the queue and was never assigned to these available nodes.PBSheadermdiag -v -nI noticed that these have two queue designations,[batch][pb_q]pb_qdesignation means but it appears to be a separate queue that has a subset of nodes tagged as bothpb_qandbatchthough it appears jobs cannot be submitted to these nodes through thebatchqueue.[batch]tag in themdiaginformation,node_stat.pywill display these as batch nodes, which makes the queue appear to have much higher resource availability then what can actually be used viabatchsubmissionpb_qnodes out of thebatchresults so the availability is reported accurately.