Total number of queued jobs/tasks/slots: 3/377/387
72 users have/had running or queued jobs over the past 7 days, 96 over the past 15 days.
121 over the past 30 days.
Click on the tabs to view each section, on the plots to view larger versions.
You can view the current cluster snapshot sorted by name, no. cpu, usage, load
or memory, and
view the past load for 7, or 15, or 30 days as well as highlight a given user by
selecting the corresponding options in the drop down menus.
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This page was last updated on Thursday, 23-Jul-2026 20:12:00 EDT
with mk-webpage.pl ver. 7.3/1 (Oct 2025/SGK) in 0:53.
Warnings
Oversubscribed Jobs
As of Thu Jul 23 20:07:07 EDT 2026 (2 oversubscribed jobs, showing no more than 3 per user)
Total running (PEs/jobs) = 1986/396, 3 queued (jobs), showing only oversubscribed jobs (cpu% > 133% & age > 1h) for all users.
jobID name user age nPEs cpu% queue node taskID
15292104 AA90 uribeje +1:16 10 145.5% lThM.q 65-06
15292105 AA90 uribeje +1:16 10 145.6% lThM.q 65-11
⇒ Equivalent to 9.1 overused CPUs: 20 CPUs used at 145.6% on average.
Inefficient Jobs
As of Thu Jul 23 20:07:09 EDT 2026 (38 inefficient jobs, showing no more than 3 per user)
Total running (PEs/jobs) = 1986/396, 3 queued (jobs), showing only inefficient jobs (cpu% < 33% & age > 1h) for all users.
jobID name user age nPEs cpu% queue node taskID
15279806 all_SNaQ athalappila +9:09 16 19.1% uThC.q 76-03
15284597 genotyping_and_ willishr +7:08 4 24.8% mThM.q 65-28
15287755 train_test_18_p fzaidouni +4:17 8 12.5% lTgpu.q 79-02
15291044 Isotria_cStacks mccormickm +2:07 16 10.2% mThC.q 65-29
15293337 tb3_pg niez 08:44 72 14.5% mThM.q 76-05 20
15293337 tb3_pg niez 03:08 72 10.2% mThM.q 75-05 33
15293337 tb3_pg niez 02:46 72 24.0% mThM.q 76-12 34
(more by niez)
15293493 Genotyping_arra johnsonsj 06:30 4 24.4% mThC.q 76-07 1
15293493 Genotyping_arra johnsonsj 06:30 4 24.6% mThC.q 75-02 10
15293493 Genotyping_arra johnsonsj 06:30 4 24.6% mThC.q 75-06 11
(more by johnsonsj)
15294937 earlgrey zhangy 02:14 12 32.1% lThM.q 76-07
⇒ Equivalent to 378.1 underused CPUs: 460 CPUs used at 17.8% on average.
To see them all use:
'q+ -ineff -u johnsonsj' (29)
'q+ -ineff -u niez' (4)
Nodes with Excess Load
As of Thu Jul 23 20:07:13 EDT 2026 (5 nodes have a high load, offset=1.5)
#slots excess
node #CPUs used load load
-----------------------------------
65-06 64 10 14.5 4.5 * 65-11 64 10 15.0 5.0 * 76-03 192 80 110.2 30.2 * 76-04 192 20 25.3 5.3 * 76-09 128 1 7.5 6.5 *Total excess load = 51.4
As of Thu Jul 23 20:07:12 EDT 2026
1 job waiting for coellogarridoa:
jobID jobName user age nPEs memReqd queue taskID
--------- --------------- ---------------- ------ ---- -------- ------ -------
15293438 raxml coellogarridoa 08:05 1 8.0 mThC.q 309-683:1
quota rule resource=value/limit %used
------------------- ------------------------------- ------
max_hC_slots_per_user/2 slots=300/640 46.9% for coellogarridoa in queue mThC.q
max_slots_per_user/1 slots=300/840 35.7% for coellogarridoa
max_mem_res_per_user/1 mem_res=2.344T/9.985T 23.5% for coellogarridoa in queue uThC.q
------------------- ------------------------------- ------
1 job waiting for fzaidouni:
jobID jobName user age nPEs memReqd queue taskID
--------- --------------- ---------------- ------ ---- -------- ------ -------
15287753 train_test_14_r fzaidouni +4:19 8 lTgpu.q
quota rule resource=value/limit %used
------------------- ------------------------------- ------
max_gpus_per_user/7 GPUS=1/2 50.0% for fzaidouni in queue lTgpu.q
total_gpus_per_user/2 GPUS=1/4 25.0% for fzaidouni in queue qgpu.iq
max_slots_per_user/1 slots=8/840 1.0% for fzaidouni
------------------- ------------------------------- ------
1 job waiting for taom:
jobID jobName user age nPEs memReqd queue taskID
--------- --------------- ---------------- ------ ---- -------- ------ -------
15294362 tr_conus_v9 taom 03:58 4 mTgpu.q
quota rule resource=value/limit %used
------------------- ------------------------------- ------
max_concurrent_jobs_per_u no_concurrent_jobs=3/12 25.0% for taom in queue qrsh.iq
qrsh_u_slots/1 slots=3/64 4.7% for taom in queue qrsh.iq
max_slots_per_user/1 slots=3/840 0.4% for taom
------------------- ------------------------------- ------
Overall Quota Usage
quota rule resource=value/limit %used
------------------- ------------------------------- ------
blast2GO/1 slots=44/110 40.0% for *
total_slots/1 slots=1987/5960 33.3% for *
total_mem_res/1 mem_res=5.371T/39.94T 13.4% for * in queue uThC.q
total_gpus/1 GPUS=1/8 12.5% for * in queue mTgpu.q
total_gpus/1 GPUS=1/8 12.5% for * in queue lTgpu.q
total_mem_res/2 mem_res=4.081T/35.78T 11.4% for * in queue uThM.q
Memory Usage
Reserved Memory, All High-Memory Queues
Select length:
Current Memory Quota Usage
As of Thu Jul 23 20:07:13 EDT 2026
quota rule resource=value/limit %used filter
---------------------------------------------------------------------------------------------------
total_mem_res/1 mem_res=5.371T/39.94T 13.4% for * in queue uThC.q
total_mem_res/2 mem_res=4.081T/35.78T 11.4% for * in queue uThM.q
Current Memory Usage by Compute Node, High Memory Nodes Only
Limit slots for all users together
users * to slots=5960
users * queues sThC.q,lThC.q,mThC.q,uThC.q to slots=5176
users * queues sThM.q,mThM.q,lThM.q,uThM.q to slots=4680
users * queues uTxlM.rq to slots=536
users * queues sTgpu.q,mTgpu.q,lTgpu.q to slots=104
Limit total reserved memory for all users per queue type
users * queues sThC.q,mThC.q,lThC.q,uThC.q to mem_res=40902G
users * queues sThM.q,mThM.q,lThM.q,uThM.q to mem_res=36637G
users * queues uTxlM.rq to mem_res=8063G
Limit slots/user for all queues
users {*} to slots=840
Limit slots/user for hiMem queues
users {*} queues {sThM.q} to slots=840
users {*} queues {mThM.q} to slots=585
users {*} queues {lThM.q} to slots=390
users {*} queues {uThM.q} to slots=73
Limit slots/user for xlMem restricted queue
users {*} queues {uTxlM.rq} to slots=536
Limit GPUs for all users in GPU queues to the avail no of GPUs
users * queues {sTgpu.q,mTgpu.q,lTgpu.q,qgpu.iq} to GPUS=8
Limit to set aside a slot for blast2GO
users * queues !lTb2g.q hosts {@b2g-hosts} to slots=110
users * queues lTb2g.q hosts {@b2g-hosts} to slots=1
users {*} queues lTb2g.q hosts {@b2g-hosts} to slots=1
Limit GPUs per user in all the GPU queues
users {@gpu-power-users} queues sTgpu.q,mTgpu.q,lTgpu.q,
qgpu.iq to GPUS=8
users {*} queues sTgpu.q,mTgpu.q,lTgpu.q,qgpu.iq to GPUS=4
Limit GPUs per user in each GPU queues
users {@gpu-power-users} queues {sTgpu.q} to GPUS=8
users {@gpu-power-users} queues {mTgpu.q} to GPUS=6
users {@gpu-power-users} queues {lTgpu.q} to GPUS=4
users {@gpu-power-users} queues {qgpu.iq} to GPUS=2
users {*} queues {sTgpu.q} to GPUS=4
users {*} queues {mTgpu.q} to GPUS=3
users {*} queues {lTgpu.q} to GPUS=2
users {*} queues {qgpu.iq} to GPUS=1
Limit total number of idl licenses per user
users {*} to idlrt_license=102
Limit slots for io queue per user
users {*} queues {lTIO.sq} to slots=8
Limit slots for io queue per user
users {*} queues {lTWFM.sq} to slots=2
Limit slots/user for interactive (qrsh) queues
users {*} queues {qrsh.iq} to slots=64
Limit reserved memory per user for specific queues
users {*} queues sThC.q,mThC.q,lThC.q,uThC.q to mem_res=10225G
users {*} queues sThM.q,mThM.q,lThM.q,uThM.q to mem_res=9159G
users {*} queues uTxlM.rq to mem_res=8063G
Limit slots/user in hiCPU queues
users {*} queues {sThC.q} to slots=840
users {*} queues {mThC.q} to slots=640
users {*} queues {lThC.q} to slots=431
users {*} queues {uThC.q} to slots=143
Limit the number of concurrent jobs per user for some queues
users {*} queues {uTxlM.rq} to no_concurrent_jobs=3
users {*} queues {lTIO.sq} to no_concurrent_jobs=8
users {*} queues {lTWFM.sq} to no_concurrent_jobs=1
users {*} queues {qrsh.iq} to no_concurrent_jobs=12
users {*} queues {qgpu.iq} to no_concurrent_jobs=1
You can view plots of disk use vs time, for the past 7, 30, or 120 days;
as well as
plots of disk usage by user, or
by device (for the past 90 or 240 days respectively).
Notes
Capacity shows % disk space full and % of inodes used.
When too many small files are written on a disk, the file system can become full because it is
unable to keep track of new files.
The % of inodes should be lower or comparable to the % of disk space used.
If it is much larger, the disk can become unusable before it gets full.