Hydra-7 Status
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Usage
Current snapshot sorted by nodes' . Usage vs time, for length= and user= highlighted.
As of Wed Jun 4 18:07:03 2025: #CPUs/nodes 5212/74, 0 down.
Loads: head node: 0.68, login nodes: 0.01, 0.84, 0.10, 0.09; NSDs: 2.52, 0.94; licenses: none used.
Queues status: 40 disabled, none need attention, none in error state.
24 users with running jobs (slots/jobs):
Current load: 978.0, #running (slots/jobs): 1,096/170, usage: 21.0%, efficiency: 89.2%
3 users with queued jobs (jobs/tasks/slots):
keyworthh=1/702/702 mghahrem=1 morrisseyd=62/62/620 Total number of queued jobs/tasks/slots: 64/765/1,323
62 users have/had running or queued jobs over the past 7 days, 79 over the past 15 days. 99 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.
This page was last updated on Wednesday, 04-Jun-2025 18:11:51 EDT with mk-webpage.pl ver. 7.2/1 (Aug 2024/SGK) in 0:44. -
Warnings
Oversubscribed Jobs
As of Wed Jun 4 18:07:04 EDT 2025 (1 oversubscribed job) Total running (PEs/jobs) = 1096/170, 64 queued (jobs), 1 extra, showing only oversubscribed jobs (cpu% > 133% & age > 1h) for all users. jobID name user age nPEs cpu% queue node taskID 8142594 QRLOGIN beckerm 02:31 1 186.9% qrsh.iq 64-15 ⇒ Equivalent to 0.9 overused CPUs: 1 CPUs used at 186.9% on average.
Inefficient Jobs
As of Wed Jun 4 18:07:04 EDT 2025 (11 inefficient jobs, showing no more than 3 per user) Total running (PEs/jobs) = 1096/170, 64 queued (jobs), 1 extra, showing only inefficient jobs (cpu% < 33% & age > 1h) for all users. jobID name user age nPEs cpu% queue node taskID 7224720 newV_lognormal jassoj +53:23 40 18.0% lThC.q 64-13 8134174 rax_587ML hodelr +9:06 40 2.5% mThC.q 65-09 8143996 stochNJ adaimem 01:29 32 6.8% mThC.q 65-21 8138892 Job_Step5RUNAsu perezm4 +1:21 16 9.9% uThM.q 65-30 8141609 aln_BB rasbands 04:58 12 8.3% mThC.q 65-19 8141610 aln_PT rasbands 04:57 12 8.3% mThC.q 65-12 8141612 aln_HN rasbands 04:51 12 8.3% mThC.q 65-06 8138915 vcf10X uribeje +1:13 8 12.9% uThM.q 64-18 8138554 Job_Step5RUNA perezm4 +4:20 4 31.8% lThM.q 76-04 8143898 trimmo_TYP016 morrisseyd 01:51 4 24.6% mThC.q 64-09 (more by rasbands) ⇒ Equivalent to 162.8 underused CPUs: 181 CPUs used at 10.1% on average. To see them all use: 'q+ -ineff -u rasbands' (4)
Nodes with Excess Load
As of Wed Jun 4 18:07:06 EDT 2025 (7 nodes have a high load, offset=1.5) #slots excess node #CPUs used load load ----------------------------------- 50-01 64 1 5.4 4.4 * 64-12 40 0 16.8 16.8 * 65-25 64 0 17.0 17.0 * 76-03 192 127 180.2 53.2 * 76-04 192 30 39.7 9.7 * 76-07 128 3 5.7 2.7 * 76-11 128 1 8.7 7.7 * Total excess load = 111.5
High Memory Jobs
Statistics
User nSlots memory memory vmem maxvmem ratio Name used reserved used used used [TB] resd/maxvm -------------------------------------------------------------------------------------------------- morrisseyd 210 40.1% 8.6133 46.3% 0.4200 20.9% 0.5370 0.7862 11.0 santosbe 72 13.7% 3.5156 18.9% 0.4188 20.8% 0.6687 0.8754 4.0 chaks 96 18.3% 1.8750 10.1% 0.3184 15.8% 0.6092 1.2560 1.5 perezm4 24 4.6% 1.1719 6.3% 0.4283 21.3% 0.6804 0.7065 1.7 uribeje 28 5.3% 0.9766 5.3% 0.1018 5.1% 0.2109 0.2484 3.9 bourkeb 8 1.5% 0.9688 5.2% 0.0677 3.4% 0.0724 0.1585 6.1 johnsong 9 1.7% 0.8789 4.7% 0.0006 0.0% 0.0070 0.0078 112.3 liy 1 0.2% 0.2930 1.6% 0.1664 8.3% 0.2372 0.2431 1.2 sylvain 16 3.1% 0.2188 1.2% 0.0238 1.2% 0.1813 0.2036 1.1 castanedaricos 48 9.2% 0.0469 0.3% 0.0577 2.9% 0.0611 0.0631 0.7 byerlyp 12 2.3% 0.0391 0.2% 0.0073 0.4% 0.0100 0.0114 3.4 ================================================================================================== Total 524 18.5977 2.0109 3.2752 4.5600 4.1
Warnings
44 high memory jobs produced a warning:
1 for bourkeb 4 for byerlyp 2 for castanedaric 1 for chaks 19 for morrisseyd 3 for perezm4 12 for santosbe 2 for uribejeDetails for each job can be found here.
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Breakdown by Queue
Select length:
Current Usage by Queue
Total Limit Fill factor Efficiency sThC.q=100 mThC.q=393 lThC.q=90 uThC.q=18 601 5056 11.9% 144.6% sThM.q=0 mThM.q=234 lThM.q=169 uThM.q=25 428 4680 9.1% 193.0% sTgpu.q=0 mTgpu.q=1 lTgpu.q=0 qgpu.iq=0 1 104 1.0% 550.0% uTxlM.rq=96 96 536 17.9% 102.6% lThMuVM.tq=0 0 384 0.0% lTb2g.q=0 0 2 0.0% lTIO.sq=0 0 8 0.0% lTWFM.sq=0 0 4 0.0% qrsh.iq=1 1 68 1.5% 8.5% Total: 1127
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Avail Slots/Wait Job(s)
Available Slots
As of Wed Jun 4 18:07:04 EDT 2025 3809 avail(slots), free(load)=4838.4, unresd(mem)=20201.1G, for hgrp=@hicpu-hosts and minMem=1.0G/slot total(nCPU) 4888 total(mem) 37.5T unused(slots) 3877 unused(load) 4878.2 ie: 79.3% 99.8% unreserved(mem) 20.0T unused(mem) 32.8T ie: 53.4% 87.5% unreserved(mem) 5.3G unused(mem) 8.7G per unused(slots)
3520 avail(slots), free(load)=4542.8, unresd(mem)=17169.0G, for hgrp=@himem-hosts and minMem=1.0G/slot total(nCPU) 4552 total(mem) 34.8T unused(slots) 3588 unused(load) 4542.8 ie: 78.8% 99.8% unreserved(mem) 16.8T unused(mem) 30.0T ie: 48.2% 86.3% unreserved(mem) 4.8G unused(mem) 8.6G per unused(slots)
56 avail(slots), free(load)=56.0, unresd(mem)=3023.9G, for hgrp=@xlmem-hosts and minMem=1.0G/slot total(nCPU) 152 total(mem) 4.9T unused(slots) 56 unused(load) 151.0 ie: 36.8% 99.3% unreserved(mem) 3.0T unused(mem) 4.3T ie: 61.9% 86.7% unreserved(mem) 55.7G unused(mem) 78.1G per unused(slots)
103 avail(slots), free(load)=103.9, unresd(mem)=752.2G, for hgrp=@gpu-hosts and minMem=1.0G/slot total(nCPU) 104 total(mem) 0.7T unused(slots) 103 unused(load) 103.9 ie: 99.0% 99.9% unreserved(mem) 0.7T unused(mem) 0.7T ie: 99.7% 91.0% unreserved(mem) 7.3G unused(mem) 6.7G per unused(slots)
GPU Usage
Wed Jun 4 18:07:10 EDT 2025 hostgroup: @gpu-hosts (3 hosts) - --- memory (GB) ---- - #GPU - --------- slots/CPUs --------- hostname - total used resd - a/u - nCPU used load - free unused compute-50-01 - 503.3 32.3 471.0 - 4/2 - 64 1 5.1 - 63 58.9 compute-79-01 - 125.5 20.7 104.8 - 2/0 - 20 0 0.0 - 20 20.0 compute-79-02 - 125.5 15.1 110.4 - 2/0 - 20 0 0.1 - 20 19.9 Total #GPU=8 used=2 (25.0%)
Waiting Job(s)
As of Wed Jun 4 18:07:05 EDT 2025 1 job waiting for keyworthh: jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 8141623 raxml-$TASK_ID keyworthh 03:28 1 8.0 sThC.q 312-1013:1 quota rule resource=value/limit %used ------------------- ------------------------------- ------ max_slots_per_user/1 slots=100/840 11.9% for keyworthh max_hC_slots_per_user/1 slots=100/840 11.9% for keyworthh in queue sThC.q max_mem_res_per_user/1 mem_res=800.0G/9.985T 7.8% for keyworthh in queue uThC.q ------------------- ------------------------------- ------ 1 job waiting for mghahrem: jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 8144113 A7_ResNet_10CV mghahrem 00:22 1 mTgpu.q quota rule resource=value/limit %used ------------------- ------------------------------- ------ max_gpus_per_user/2 num_gpu=2/3 66.7% for mghahrem in queue mTgpu.q total_gpus_per_user/1 num_gpu=2/4 50.0% for mghahrem in queue qgpu.iq max_slots_per_user/1 slots=1/840 0.1% for mghahrem ------------------- ------------------------------- ------ 62 jobs waiting for morrisseyd (top 5): jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 8144049 spades_USNM1717 morrisseyd 00:54 10 420.0 mThM.q 8144050 spades_USNM1717 morrisseyd 00:54 10 420.0 mThM.q 8144051 spades_USNM1717 morrisseyd 00:54 10 420.0 mThM.q 8144052 spades_USNM1717 morrisseyd 00:54 10 420.0 mThM.q 8144053 spades_USNM1717 morrisseyd 00:54 10 420.0 mThM.q quota rule resource=value/limit %used ------------------- ------------------------------- ------ max_mem_res_per_user/2 mem_res=8.613T/8.944T 96.3% for morrisseyd in queue uThM.q max_hM_slots_per_user/2 slots=210/585 35.9% for morrisseyd in queue mThM.q max_slots_per_user/1 slots=214/840 25.5% for morrisseyd max_hC_slots_per_user/2 slots=4/840 0.5% for morrisseyd in queue mThC.q max_mem_res_per_user/1 mem_res=2.000G/9.985T 0.0% for morrisseyd in queue uThC.q ------------------- ------------------------------- ------
Overall Quota Usage
quota rule resource=value/limit %used ------------------- ------------------------------- ------ total_mem_res/2 mem_res=16.72T/35.78T 46.7% for * in queue uThM.q total_gpus/1 num_gpu=2/8 25.0% for * in queue mTgpu.q total_mem_res/3 mem_res=1.875T/7.874T 23.8% for * in queue uTxlM.rq total_slots/1 slots=1129/5960 18.9% for * blast2GO/1 slots=8/110 7.3% for * total_mem_res/1 mem_res=1.530T/39.94T 3.8% for * in queue uThC.q
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Memory Usage
Reserved Memory, All High-Memory Queues
Select length:
Current Memory Quota Usage
As of Wed Jun 4 18:07:06 EDT 2025 quota rule resource=value/limit %used filter --------------------------------------------------------------------------------------------------- total_mem_res/1 mem_res=1.530T/39.94T 3.8% for * in queue uThC.q total_mem_res/2 mem_res=16.72T/35.78T 46.7% for * in queue uThM.q total_mem_res/3 mem_res=1.875T/7.874T 23.8% for * in queue uTxlM.rq
Current Memory Usage by Compute Node, High Memory Nodes Only
hostgroup: @himem-hosts (54 hosts) - ----------- memory (GB) ------------ - --------- slots/CPUs --------- hostname - avail used resd - unused unresd - nCPU used load - free unused compute-64-17 - 503.3 391.2 410.0 - 112.1 93.3 - 32 7 2.9 - 25 29.1 compute-64-18 - 503.3 33.4 410.0 - 469.9 93.3 - 32 11 2.1 - 21 29.9 compute-65-02 - 503.5 37.2 422.0 - 466.3 81.5 - 64 11 9.3 - 53 54.7 compute-65-03 - 503.5 190.4 208.0 - 313.1 295.5 - 64 5 4.9 - 59 59.1 compute-65-04 - 503.5 81.2 432.0 - 422.3 71.5 - 64 22 21.1 - 42 42.9 compute-65-05 - 503.5 47.2 208.0 - 456.3 295.5 - 64 5 4.5 - 59 59.5 compute-65-06 - 503.5 80.8 476.0 - 422.7 27.5 - 64 23 12.0 - 41 52.0 compute-65-07 - 503.5 203.5 208.0 - 300.0 295.5 - 64 5 5.0 - 59 59.0 compute-65-09 - 503.5 75.0 468.0 - 428.5 35.5 - 64 51 12.0 - 13 52.0 compute-65-10 - 503.5 37.3 428.0 - 466.2 75.5 - 64 11 9.9 - 53 54.1 compute-65-11 - 503.5 50.9 208.0 - 452.6 295.5 - 64 5 4.8 - 59 59.2 compute-65-12 - 503.5 59.4 484.0 - 444.1 19.5 - 64 24 13.0 - 40 51.0 compute-65-13 - 503.5 42.2 216.0 - 461.3 287.5 - 64 6 5.4 - 58 58.6 compute-65-14 - 503.5 65.6 400.0 - 437.9 103.5 - 64 8 6.2 - 56 57.9 compute-65-15 - 503.5 181.4 208.0 - 322.1 295.5 - 64 5 5.0 - 59 59.0 compute-65-16 - 503.5 73.7 428.0 - 429.8 75.5 - 64 11 7.0 - 53 57.0 compute-65-17 - 503.5 66.7 428.0 - 436.8 75.5 - 64 11 8.2 - 53 55.8 compute-65-18 - 503.5 62.8 420.0 - 440.7 83.5 - 64 10 10.1 - 54 53.9 compute-65-19 - 503.5 61.8 468.0 - 441.7 35.5 - 64 22 11.0 - 42 53.0 compute-65-20 - 503.5 18.2 0.0 - 485.3 503.5 - 64 0 0.0 - 64 64.0 compute-65-21 - 503.5 80.8 425.0 - 422.7 78.5 - 64 42 12.0 - 22 52.0 compute-65-22 - 503.5 75.1 432.0 - 428.4 71.5 - 64 22 22.1 - 42 42.0 compute-65-23 - 503.5 35.3 408.0 - 468.2 95.5 - 64 51 51.6 - 13 12.4 compute-65-24 - 503.5 64.9 436.0 - 438.6 67.5 - 64 36 36.3 - 28 27.7 compute-65-25 - 503.5 x x - node down - 64 x x - x x compute-65-26 - 503.5 x x - node down - 64 x x - x x compute-65-27 - 503.5 36.8 428.0 - 466.7 75.5 - 64 11 9.3 - 53 54.7 compute-65-28 - 503.5 73.0 432.0 - 430.5 71.5 - 64 22 21.8 - 42 42.2 compute-65-29 - 503.5 64.2 96.0 - 439.3 407.5 - 64 12 12.0 - 52 52.0 compute-65-30 - 503.5 138.2 432.0 - 365.3 71.5 - 64 20 5.0 - 44 59.0 compute-75-01 - 1007.4 119.0 120.0 - 888.4 887.4 - 128 9 9.0 - 119 119.0 compute-75-02 - 1007.5 117.9 622.0 - 889.6 385.5 - 128 15 14.7 - 113 113.3 compute-75-03 - 755.5 135.7 532.0 - 619.8 223.5 - 128 18 17.2 - 110 110.8 compute-75-04 - 755.5 55.9 424.0 - 699.6 331.5 - 128 11 10.3 - 117 117.7 compute-75-05 - 755.5 63.1 428.0 - 692.4 327.5 - 128 11 10.3 - 117 117.7 compute-75-06 - 755.5 59.4 420.0 - 696.1 335.5 - 128 10 10.2 - 118 117.8 compute-75-07 - 755.5 248.6 624.0 - 506.9 131.5 - 128 23 20.0 - 105 108.0 compute-76-03 - 1007.4 96.3 994.5 - 911.1 12.9 - 128 127 120.1 - 1 7.9 compute-76-04 - 1007.4 281.2 822.0 - 726.2 185.4 - 128 30 26.5 - 98 101.5 compute-76-05 - 1007.4 41.9 40.0 - 965.5 967.4 - 128 5 5.0 - 123 123.0 compute-76-06 - 1007.4 79.5 16.0 - 927.9 991.4 - 128 119 120.0 - 9 8.0 compute-76-07 - 1007.4 43.2 24.0 - 964.2 983.4 - 128 3 5.7 - 125 122.3 compute-76-08 - 1007.4 261.8 356.0 - 745.6 651.4 - 128 8 8.2 - 120 119.8 compute-76-09 - 1007.4 47.0 40.0 - 960.4 967.4 - 128 5 6.0 - 123 122.0 compute-76-10 - 1007.4 68.5 432.0 - 938.9 575.4 - 128 12 11.9 - 116 116.1 compute-76-11 - 1007.4 43.4 8.0 - 964.0 999.4 - 128 1 8.7 - 127 119.3 compute-76-12 - 1007.4 52.9 920.0 - 954.5 87.4 - 128 15 11.3 - 113 116.7 compute-76-13 - 1007.4 59.9 824.0 - 947.5 183.4 - 128 19 13.2 - 109 114.8 compute-76-14 - 1007.4 78.1 424.0 - 929.3 583.4 - 128 11 11.1 - 117 117.0 compute-84-01 - 881.1 328.2 64.0 - 552.9 817.1 - 112 8 8.0 - 104 104.0 compute-93-01 - 503.8 33.2 32.0 - 470.6 471.8 - 64 4 4.1 - 60 59.9 compute-93-02 - 755.6 45.0 224.0 - 710.6 531.6 - 72 7 6.8 - 65 65.2 compute-93-03 - 755.6 40.4 40.0 - 715.2 715.6 - 72 12 12.5 - 60 59.5 compute-93-04 - 755.6 49.5 12.0 - 706.1 743.6 - 72 12 12.1 - 60 60.0 ======= ===== ====== ==== ==== ===== Totals 35630.5 4877.8 18461.5 4552 964 807.4 ==> 13.7% 51.8% ==> 21.2% 17.7% Most unreserved/unused memory (999.4/964.0GB) is on compute-76-11 with 127/119.3 slots/CPUs free/unused. hostgroup: @xlmem-hosts (4 hosts) - ----------- memory (GB) ------------ - --------- slots/CPUs --------- hostname - avail used resd - unused unresd - nCPU used load - free unused compute-76-01 - 1511.4 x x - node down - 192 x x - x x compute-76-02 - 1511.4 x x - node down - 192 x x - x x compute-93-05 - 2016.3 633.1 1920.0 - 1383.2 96.3 - 96 96 97.1 - 0 -1.1 compute-93-06 - 3023.9 35.0 0.0 - 2988.9 3023.9 - 56 0 0.0 - 56 56.0 ======= ===== ====== ==== ==== ===== Totals 5040.2 668.1 1920.0 152 96 97.1 ==> 13.3% 38.1% ==> 63.2% 63.9% Most unreserved/unused memory (3023.9/2988.9GB) is on compute-93-06 with 56/56.0 slots/CPUs free/unused.
Past Memory Usage vs Memory Reservation
Past memory use in hi-mem queues between 05/28/25 and 06/04/25 queues: ?ThM.q ----------- total --------- -------------------- mean -------------------- user no. of elapsed time eff. reserved maxvmem average ratio name jobs/slots [d] [%] [GB] [GB] [GB] resd/maxvmem --------------- -------------- ------------ ----- --------- -------- --------- ------------ willishr 1/6 0.00 14.9 36.0 59.8 18.7 0.6 girardmg 2/8 0.00 135.3 80.0 6.4 3.1 12.5 > 2.5 afoster 5/5 0.02 99.4 12.0 4.2 3.5 2.8 > 2.5 radicev 1/4 0.02 28.4 600.0 80.5 47.7 7.5 > 2.5 perezm4 9/96 0.02 96.4 400.0 23.9 23.9 16.7 > 2.5 jassoj 4/4 0.03 1803.2 128.0 124.0 123.4 1.0 przelomskan 7/10 0.06 39.5 94.8 50.0 23.8 1.9 craigc 87/496 0.13 24.6 92.8 34.7 1.2 2.7 > 2.5 macguigand 40/228 0.15 41.7 117.9 42.9 3.5 2.8 > 2.5 bourkeb 29/313 0.37 65.4 429.1 32.5 6.3 13.2 > 2.5 ariasc 8/200 0.58 69.1 723.4 159.8 116.8 4.5 > 2.5 keyworthh 207/1242 0.80 375.2 960.0 587.5 1.2 1.6 macdonaldk 85/85 1.16 93.4 48.0 9.9 0.5 4.8 > 2.5 zehnpfennigj 5/63 1.68 21.1 84.7 633.4 579.5 0.1 byerlyp 85/413 2.20 35.5 10.0 4.4 3.1 2.3 mghahrem 9/108 2.90 2.9 0.0 81.5 78.2 0.0 uribeje 9/124 3.88 28.8 407.6 26.2 13.9 15.6 > 2.5 morrisseyd 3107/3793 4.73 75.1 70.8 4.7 2.1 15.0 > 2.5 sylvain 39/312 26.32 96.6 105.3 87.2 10.2 1.2 collinsa 386/5786 40.31 45.3 190.5 55.0 20.1 3.5 > 2.5 yancos 1747/1747 44.76 102.5 99.1 6.4 5.7 15.5 > 2.5 --------------- -------------- ------------ ----- --------- -------- --------- ------------ all 5872/15043 130.13 77.6 141.7 52.6 20.6 2.7 > 2.5 --- queues: ?TxlM.rq ----------- total --------- -------------------- mean -------------------- user no. of elapsed time eff. reserved maxvmem average ratio name jobs/slots [d] [%] [GB] [GB] [GB] resd/maxvmem --------------- -------------- ------------ ----- --------- -------- --------- ------------ pappalardop 2/16 0.37 73.8 900.0 82.1 72.8 11.0 > 2.5 ariasc 1/40 0.38 58.8 880.0 132.9 101.0 6.6 > 2.5 chaks 4/384 0.77 43.8 1920.0 847.4 833.8 2.3 --------------- -------------- ------------ ----- --------- -------- --------- ------------ all 7/440 1.52 54.9 1412.0 482.7 465.6 2.9 > 2.5
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Resource Limits
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 Limit slots/user for all queues users {*} to slots=840 Limit slots/user in hiCPU queues users {*} queues {sThC.q} to slots=840 users {*} queues {mThC.q} to slots=840 users {*} queues {lThC.q} to slots=431 users {*} queues {uThC.q} to slots=143 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 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 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 for interactive (qrsh) queues users {*} queues {qrsh.iq} to slots=16 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 num_gpu=8 Limit GPUs per user in all the GPU queues users {*} queues sTgpu.q,mTgpu.q,lTgpu.q,qgpu.iq to num_gpu=4 Limit GPUs per user in each GPU queues users {*} queues {sTgpu.q} to num_gpu=4 users {*} queues {mTgpu.q} to num_gpu=3 users {*} queues {lTgpu.q} to num_gpu=2 users {*} queues {qgpu.iq} to num_gpu=1 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 total bigtmp concurrent request per user users {*} to big_tmp=25 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 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=2 users {*} queues {lWFM.sq} to no_concurrent_jobs=1 users {*} queues {qrsh.iq} to no_concurrent_jobs=4 users {*} queues {qgpu.iq} to no_concurrent_jobs=1
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Disk Usage & Quota
As of Wed Jun 4 17:06:02 EDT 2025
Disk Usage
Filesystem Size Used Avail Capacity Mounted on netapp-fas83:/vol_home 22.05T 18.87T 3.18T 86%/12% /home netapp-fas83-n02:/vol_data_public 142.50T 48.30T 94.20T 34%/3% /data/public netapp-fas83-n02:/vol_pool_public 230.00T 88.18T 141.82T 39%/1% /pool/public gpfs01:public 400.00T 339.54T 60.46T 85%/51% /scratch/public netapp-fas83-n02:/vol_pool_kozakk 11.00T 10.72T 285.32G 98%/1% /pool/kozakk netapp-fas83-n02:/vol_pool_nmnh_ggi 21.00T 13.80T 7.20T 66%/1% /pool/nmnh_ggi netapp-fas83-n02:/vol_pool_sao_access 19.95T 5.49T 14.46T 28%/2% /pool/sao_access netapp-fas83-n02:/vol_pool_sao_rtdc 10.45T 907.44G 9.56T 9%/1% /pool/sao_rtdc netapp-fas83-n02:/vol_pool_sylvain 30.00T 24.34T 5.66T 82%/6% /pool/sylvain gpfs01:nmnh_bradys 25.00T 24.34T 672.40G 98%/41% /scratch/bradys gpfs01:nmnh_kistlerl 120.00T 109.64T 10.36T 92%/6% /scratch/kistlerl gpfs01:nmnh_meyerc 25.00T 24.43T 587.14G 98%/4% /scratch/meyerc gpfs01:nmnh_quattrinia 60.00T 43.17T 16.83T 72%/7% /scratch/nmnh_corals gpfs01:nmnh_ggi 77.00T 21.98T 55.02T 29%/5% /scratch/nmnh_ggi gpfs01:nmnh_lab 25.00T 9.18T 15.82T 37%/3% /scratch/nmnh_lab gpfs01:nmnh_mammals 35.00T 18.32T 16.68T 53%/21% /scratch/nmnh_mammals gpfs01:nmnh_mdbc 50.00T 46.44T 3.56T 93%/10% /scratch/nmnh_mdbc gpfs01:nmnh_ocean_dna 40.00T 12.05T 27.95T 31%/1% /scratch/nmnh_ocean_dna gpfs01:nzp_ccg 45.00T 31.40T 13.60T 70%/2% /scratch/nzp_ccg gpfs01:sao_atmos 350.00T 281.63T 68.37T 81%/4% /scratch/sao_atmos gpfs01:sao_cga 25.00T 9.50T 15.50T 38%/6% /scratch/sao_cga gpfs01:sao_tess 50.00T 24.82T 25.18T 50%/83% /scratch/sao_tess gpfs01:scbi_gis 80.00T 33.39T 46.61T 42%/35% /scratch/scbi_gis gpfs01:nmnh_schultzt 25.00T 19.19T 5.81T 77%/75% /scratch/schultzt gpfs01:serc_cdelab 15.00T 10.79T 4.21T 72%/4% /scratch/serc_cdelab gpfs01:stri_ap 25.00T 18.96T 6.04T 76%/1% /scratch/stri_ap gpfs01:sao_sylvain 70.00T 48.10T 21.90T 69%/48% /scratch/sylvain gpfs01:usda_sel 25.00T 5.48T 19.52T 22%/6% /scratch/usda_sel gpfs01:wrbu 50.00T 38.74T 11.26T 78%/6% /scratch/wrbu netapp-fas83-n01:/vol_data_admin 4.75T 52.43G 4.70T 2%/1% /data/admin netapp-fas83-n01:/vol_pool_admin 47.50T 36.39T 11.11T 77%/1% /pool/admin gpfs01:admin 20.00T 3.60T 16.40T 18%/31% /scratch/admin gpfs01:bioinformatics_dbs 10.00T 5.00T 5.00T 50%/2% /scratch/dbs gpfs01:tmp 100.00T 38.33T 61.67T 39%/9% /scratch/tmp gpfs01:ocio_dpo 10.00T 0.00G 10.00T 1%/1% /scratch/ocio_dpo gpfs01:ocio_ids 5.00T 0.00G 5.00T 0%/1% /scratch/ocio_ids qnas:/hydra 45.47T 29.07T 16.40T 64%/64% /qnas/hydra qnas:/nfs-mesa-nanozoomer 386.54T 343.92T 42.61T 89%/89% /qnas/mesa qnas:/sil 3840.36T 2916.55T 923.81T 76%/76% /qnas/sil nas1:/mnt/pool/admin 20.00T 7.92T 12.08T 40%/1% /store/admin nas1:/mnt/pool/public 175.00T 86.20T 88.80T 50%/1% /store/public nas1:/mnt/pool/nmnh_bradys 40.00T 8.18T 31.82T 21%/1% /store/bradys nas2:/mnt/pool/n1p3/nmnh_ggi 90.00T 36.28T 53.72T 41%/1% /store/nmnh_ggi nas2:/mnt/pool/nmnh_lab 40.00T 12.52T 27.48T 32%/1% /store/nmnh_lab nas2:/mnt/pool/nmnh_ocean_dna 40.00T 973.76G 39.05T 3%/1% /store/nmnh_ocean_dna nas1:/mnt/pool/nzp_ccg 222.19T 110.29T 111.90T 50%/1% /store/nzp_ccg nas2:/mnt/pool/n1p2/ocio_dpo 50.00T 2.93T 47.07T 6%/1% /store/ocio_dpo nas2:/mnt/pool/n1p1/sao_atmos 750.00T 476.73T 273.27T 64%/1% /store/sao_atmos nas2:/mnt/pool/n1p2/nmnh_schultzt 40.00T 27.07T 12.93T 68%/1% /store/schultzt nas1:/mnt/pool/sao_sylvain 50.00T 8.41T 41.59T 17%/1% /store/sylvain nas1:/mnt/pool/wrbu 80.00T 10.02T 69.98T 13%/1% /store/wrbu
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.
You can view the plots of the GPFS IB traffic for the past 1 , 7 or 30 days, and throughput info.
Disk Quota Report
Volume=NetApp:vol_data_public, mounted as /data/public -- disk -- -- #files -- default quota: 4.50TB/10.0M Disk usage %quota usage %quota name, affiliation - username (indiv. quota) -------------------- ------- ------ ------ ------ ------------------------------------------- /data/public 4.17TB 92.7% 5.07M 50.7% Alicia Talavera, NMNH - talaveraa Volume=NetApp:vol_home, mounted as /home -- disk -- -- #files -- default quota: 512.0GB/10.0M Disk usage %quota usage %quota name, affiliation - username (indiv. quota) -------------------- ------- ------ ------ ------ ------------------------------------------- /home 512.1GB 100.0% 0.00M 0.0% *** Molly Corder, SMSC - corderm /home 507.7GB 99.2% 0.29M 2.9% *** Paul Cristofari, SAO/SSP - pcristof /home 497.1GB 97.1% 0.12M 1.2% *** Jaiden Edelman, SAO/SSP - jedelman /home 484.5GB 94.6% 0.42M 4.2% Adela Roa-Varon, NMNH - roa-varona /home 478.6GB 93.5% 0.24M 2.4% Michael Connelly, NMNH - connellym /home 476.5GB 93.1% 3.30M 33.0% Heesung Chong, SAO/AMP - hchong /home 443.6GB 86.6% 0.97M 9.7% Hyeong-Ahn Kwon, SAO/AMP - hkwon Volume=NetApp:vol_pool_nmnh_ggi, mounted as /pool/nmnh_ggi -- disk -- -- #files -- default quota: 16.00TB/39.0M Disk usage %quota usage %quota name, affiliation - username (indiv. quota) -------------------- ------- ------ ------ ------ ------------------------------------------- /pool/nmnh_ggi 13.76TB 86.0% 6.08M 15.6% Vanessa Gonzalez, NMNH/LAB - gonzalezv Volume=NetApp:vol_pool_public, mounted as /pool/public -- disk -- -- #files -- default quota: 7.50TB/18.0M Disk usage %quota usage %quota name, affiliation - username (indiv. quota) -------------------- ------- ------ ------ ------ ------------------------------------------- /pool/public 6.72TB 89.6% 13.66M 75.9% Ting Wang, NMNH - wangt2 /pool/public 6.65TB 88.7% 0.24M 1.3% Xiaoyan Xie, SAO/HEA - xxie Volume=GPFS:scratch_public, mounted as /scratch/public -- disk -- -- #files -- default quota: 15.00TB/38.8M Disk usage %quota usage %quota name, affiliation - username (indiv. quota) -------------------- ------- ------ ------ ------ ------------------------------------------- /scratch/public 14.00TB 93.3% 14.12M 36.4% Brian Bourke, WRBU - bourkeb /scratch/public 13.30TB 88.7% 0.87M 2.2% Karen Holm, SMSC - holmk /scratch/public 13.00TB 86.7% 0.78M 2.0% Ting Wang, NMNH - wangt2 /scratch/public 12.90TB 86.0% 4.38M 11.3% Kevin Mulder, NZP - mulderk Volume=GPFS:scratch_stri_ap, mounted as /scratch/stri_ap -- disk -- -- #files -- default quota: 5.00TB/12.6M Disk usage %quota usage %quota name, affiliation - username (indiv. quota) -------------------- ------- ------ ------ ------ ------------------------------------------- /scratch/stri_ap 14.60TB 97.3% 0.05M 0.4% *** Carlos Arias, STRI - ariasc (15.0TB/12M) Volume=NAS:store_public, mounted as /store/public -- disk -- -- #files -- default quota: 0.0MB/0.0M Disk usage %quota usage %quota name, affiliation - username (indiv. quota) -------------------- ------- ------ ------ ------ ------------------------------------------- /store/public 4.80TB 96.1% - - *** Madeline Bursell, OCIO - bursellm (5.0TB/0M) /store/public 4.51TB 90.1% - - Alicia Talavera, NMNH - talaveraa (5.0TB/0M) /store/public 4.39TB 87.8% - - Mirian Tsuchiya, NMNH/Botany - tsuchiyam (5.0TB/0M)
SSD Usage
Node -------------------------- /ssd ------------------------------- Name Size Used Avail Use% | Resd Avail Resd% | Resd/Used 50-01 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 64-17 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 64-18 3.49T 24.6G 3.47T 0.7% | 0.0G 3.49T 0.0% | 0.00 65-02 3.49T 24.6G 3.47T 0.7% | 199.7G 3.29T 5.6% | 8.13 65-03 3.49T 24.6G 3.47T 0.7% | 0.0G 3.49T 0.0% | 0.00 65-04 3.49T 24.6G 3.47T 0.7% | 199.7G 3.29T 5.6% | 8.13 65-05 3.49T 24.6G 3.47T 0.7% | 0.0G 3.49T 0.0% | 0.00 65-06 3.49T 37.9G 3.45T 1.1% | 199.7G 3.29T 5.6% | 5.27 65-09 3.49T 34.8G 3.46T 1.0% | 199.7G 3.29T 5.6% | 5.74 65-10 1.75T 16.4G 1.73T 0.9% | 199.7G 1.55T 11.2% | 12.19 65-11 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-12 1.75T 21.5G 1.72T 1.2% | 199.7G 1.55T 11.2% | 9.29 65-13 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-14 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-15 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-16 1.75T 22.5G 1.72T 1.3% | 199.7G 1.55T 11.2% | 8.86 65-17 1.75T 12.3G 1.73T 0.7% | 199.7G 1.55T 11.2% | 16.25 65-18 1.75T 22.5G 1.72T 1.3% | 199.7G 1.55T 11.2% | 8.86 65-19 1.75T 20.5G 1.73T 1.1% | 199.7G 1.55T 11.2% | 9.75 65-21 1.75T 28.7G 1.72T 1.6% | 199.7G 1.55T 11.2% | 6.96 65-22 1.75T 22.5G 1.72T 1.3% | 199.7G 1.55T 11.2% | 8.86 65-23 1.75T 12.3G 1.73T 0.7% | 199.7G 1.55T 11.2% | 16.25 65-24 1.75T 20.5G 1.73T 1.1% | 199.7G 1.55T 11.2% | 9.75 65-27 1.75T 12.3G 1.73T 0.7% | 199.7G 1.55T 11.2% | 16.25 65-28 1.75T 12.3G 1.73T 0.7% | 199.7G 1.55T 11.2% | 16.25 65-29 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-30 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 75-02 6.98T 62.5G 6.92T 0.9% | 199.7G 6.79T 2.8% | 3.20 75-03 6.98T 50.2G 6.93T 0.7% | 199.7G 6.79T 2.8% | 3.98 75-04 6.98T 50.2G 6.93T 0.7% | 0.0G 6.98T 0.0% | 0.00 75-05 6.98T 50.2G 6.93T 0.7% | 199.7G 6.79T 2.8% | 3.98 75-06 6.98T 58.4G 6.92T 0.8% | 199.7G 6.79T 2.8% | 3.42 75-07 6.98T 50.2G 6.93T 0.7% | 0.0G 6.98T 0.0% | 0.00 76-03 1.75T 12.3G 1.73T 0.7% | 1.50T 251.0G 86.0% | 124.99 76-04 1.75T 12.3G 1.73T 0.7% | 199.7G 1.55T 11.2% | 16.25 76-13 1.75T 31.7G 1.71T 1.8% | 199.7G 1.55T 11.2% | 6.29 79-01 7.28T 51.2G 7.22T 0.7% | 0.0G 7.28T 0.0% | 0.00 79-02 7.28T 51.2G 7.22T 0.7% | 0.0G 7.28T 0.0% | 0.00 93-05 6.98T 50.2G 6.93T 0.7% | 0.0G 6.98T 0.0% | 0.00 --------------------------------------------------------------- Total 128.0T 1.02T 127.0T 0.8% | 5.79T 122.2T 4.5% | 5.65
Note: the disk usage and the quota report are compiled 4x/day, the SSD usage is updated every 10m.