Hydra-7 Status
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Usage
Current snapshot sorted by nodes' . Usage vs time, for length= and user= highlighted.
As of Sun Aug 3 17:47:07 2025: #CPUs/nodes 5292/74, 1 down.
Loads: head node: 0.73, login nodes: 0.62, 2.42, 3.81, 1.08; NSDs: 1014.27, 87.26; licenses: none used.
Queues status: 47 disabled, 9 need attention, none in error state.
14 users with running jobs (slots/jobs):
bombickj=1 campanam=49/2 chshen=232/1 collinsa=770/49 ggonzale=500 girardmg=4/1 gonzalezm2=2/1 hinckleya=14/4 jassoj=40/1 mcfaddenc=16/1 sylvain=29 urrutia-carterje=1 yisraell=50/2 zhangy=2 Current load: 1198.0, #running (slots/jobs): 1,710/595, usage: 32.3%, efficiency: 70.1%
2 users with queued jobs (jobs/tasks/slots):
collinsa=2/131/2032 ggonzale=9/77555/77555 Total number of queued jobs/tasks/slots: 11/77,686/79,587
66 users have/had running or queued jobs over the past 7 days, 81 over the past 15 days. 110 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.Error: invalid len=7d and user= combination (user had no jobs during that time).
This page was last updated on Sunday, 03-Aug-2025 17:52:03 EDT with mk-webpage.pl ver. 7.2/1 (Aug 2024/SGK) in 0:56. -
Warnings
Oversubscribed Jobs
As of Sun Aug 3 17:47:13 EDT 2025 (0 oversubscribed job)
Inefficient Jobs
As of Sun Aug 3 17:47:19 EDT 2025 (269 inefficient jobs, showing no more than 3 per user) Total running (PEs/jobs) = 1710/595, 11 queued (jobs), showing only inefficient jobs (cpu% < 33% & age > 1h) for all users. jobID name user age nPEs cpu% queue node taskID 9013349 beast_unpartiti jassoj +12:03 40 22.2% lThC.q 65-12 9292777 metaSPAdes_Unpa yisraell +3:14 40 21.2% mThC.q 65-09 9370790 spades_array.jo collinsa 08:11 16 32.9% sThM.q 76-03 6 9370808 metaspades_arra collinsa 05:41 16 13.5% sThM.q 93-04 3 9370808 metaspades_arra collinsa 05:41 16 20.9% sThM.q 76-09 8 (more by collinsa) 9370809 phyluce_assembl mcfaddenc 05:02 16 3.2% mThC.q 64-03 9316542 spades hinckleya +2:12 2 24.6% lThM.q 65-30 9264087 spades_sc6 hinckleya +5:10 1 32.0% lThM.q 65-03 9269551 spades_sc8 hinckleya +4:13 1 23.8% lThM.q 64-17 9321731 jupyter bombickj +2:04 1 0.1% lTgpu.q 79-01 9325071 mea_l2prof_Aura ggonzale 02:48 1 3.4% sThM.q 76-04 12715 9325071 mea_l2prof_Aura ggonzale 02:47 1 3.2% sThM.q 76-04 12730 9325071 mea_l2prof_Aura ggonzale 02:43 1 4.7% sThM.q 75-02 12745 (more by ggonzale) ⇒ Equivalent to 520.9 underused CPUs: 618 CPUs used at 15.7% on average. To see them all use: 'q+ -ineff -u collinsa' (17) 'q+ -ineff -u ggonzale' (245)
Nodes with Excess Load
As of Sun Aug 3 17:47:25 EDT 2025 (5 nodes have a high load, offset=1.5) #slots excess node #CPUs used load load ----------------------------------- 65-14 64 0 33.1 33.1 * 65-16 64 0 19.1 19.1 * 76-04 192 57 64.1 7.1 * 76-10 128 24 25.6 1.6 * 93-01 64 9 11.3 2.3 * Total excess load = 63.2
High Memory Jobs
Statistics
User nSlots memory memory vmem maxvmem ratio Name used reserved used used used [TB] resd/maxvm -------------------------------------------------------------------------------------------------- collinsa 768 57.0% 9.0000 45.5% 0.5569 21.2% 0.7223 1.4330 6.3 ggonzale 500 37.1% 8.7891 44.4% 1.4343 54.7% 1.4828 2.2370 3.9 yisraell 10 0.7% 0.9766 4.9% 0.4704 17.9% 0.5182 0.7530 1.3 hinckleya 14 1.0% 0.4688 2.4% 0.0866 3.3% 0.0284 0.2544 1.8 campanam 48 3.6% 0.3906 2.0% 0.0108 0.4% 0.0120 0.0152 25.8 girardmg 4 0.3% 0.0977 0.5% 0.0409 1.6% 0.0040 0.0819 1.2 gonzalezm2 2 0.1% 0.0586 0.3% 0.0086 0.3% 0.0097 0.0109 5.4 urrutia-carterje 1 0.1% 0.0010 0.0% 0.0133 0.5% 0.0089 0.2046 0.0 ================================================================================================== Total 1347 19.7822 2.6218 2.7862 4.9899 4.0
Warnings
54 high memory jobs produced a warning:
1 for campanam 45 for collinsa 1 for girardmg 1 for gonzalezm2 4 for hinckleya 1 for urrutia-cart 1 for yisraellDetails 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=0 mThC.q=290 lThC.q=67 uThC.q=2 359 4992 7.2% 311.6% sThM.q=1247 mThM.q=63 lThM.q=4 uThM.q=12 1326 4616 28.7% 84.4% sTgpu.q=0 mTgpu.q=0 lTgpu.q=1 qgpu.iq=0 1 104 1.0% 40.0% uTxlM.rq=0 0 536 0.0% 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=3 3 68 4.4% 9.9% Total: 1689
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Avail Slots/Wait Job(s)
Available Slots
As of Sun Aug 3 17:47:19 EDT 2025 3044 avail(slots), free(load)=4724.2, unresd(mem)=18614.8G, for hgrp=@hicpu-hosts and minMem=1.0G/slot total(nCPU) 4736 total(mem) 36.4T unused(slots) 3166 unused(load) 4724.2 ie: 66.8% 99.8% unreserved(mem) 18.2T unused(mem) 33.3T ie: 50.0% 91.5% unreserved(mem) 5.9G unused(mem) 10.8G per unused(slots)
2667 avail(slots), free(load)=4348.1, unresd(mem)=15111.5G, for hgrp=@himem-hosts and minMem=1.0G/slot total(nCPU) 4360 total(mem) 33.3T unused(slots) 2789 unused(load) 4348.1 ie: 64.0% 99.7% unreserved(mem) 14.8T unused(mem) 30.3T ie: 44.3% 91.0% unreserved(mem) 5.4G unused(mem) 11.1G per unused(slots)
235 avail(slots), free(load)=343.5, unresd(mem)=4878.2G, for hgrp=@xlmem-hosts and minMem=1.0G/slot total(nCPU) 344 total(mem) 6.4T unused(slots) 235 unused(load) 343.5 ie: 68.3% 99.9% unreserved(mem) 4.8T unused(mem) 6.2T ie: 74.5% 96.6% unreserved(mem) 20.8G unused(mem) 26.9G per unused(slots)
103 avail(slots), free(load)=104.0, 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) 104.0 ie: 99.0% 100.0% unreserved(mem) 0.7T unused(mem) 0.7T ie: 99.7% 91.7% unreserved(mem) 7.3G unused(mem) 6.7G per unused(slots)
GPU Usage
Sun Aug 3 17:47:29 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 26.1 477.2 - 4/0 - 64 0 0.1 - 64 63.9 compute-79-01 - 125.5 21.5 104.0 - 2/1 - 20 1 0.1 - 19 19.9 compute-79-02 - 125.5 15.2 110.3 - 2/0 - 20 0 0.1 - 20 19.9 Total #GPU=8 used=1 (12.5%)
Waiting Job(s)
As of Sun Aug 3 17:47:25 EDT 2025 2 jobs waiting for collinsa: jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 9370808 metaspades_arra collinsa 05:41 16 192.0 sThM.q 67-189:1 9370814 mf_spades_array collinsa 02:45 8 96.0 sThM.q 1-8:1 quota rule resource=value/limit %used ------------------- ------------------------------- ------ max_mem_res_per_user/2 mem_res=9.000T/8.944T 100.6% for collinsa in queue uThM.q max_slots_per_user/1 slots=770/840 91.7% for collinsa max_hM_slots_per_user/1 slots=768/840 91.4% for collinsa in queue sThM.q max_concurrent_jobs_per_u no_concurrent_jobs=1/4 25.0% for collinsa in queue qrsh.iq qrsh_u_slots/1 slots=2/16 12.5% for collinsa in queue qrsh.iq ------------------- ------------------------------- ------ 9 jobs waiting for ggonzale (top 5): jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 9325071 mea_l2prof_Aura ggonzale +2:02 1 18.0 sThM.q 13534-20000:1 9325073 mea_l2prof_Aura ggonzale +2:02 1 18.0 sThM.q 20001-30000:1 9325074 mea_l2prof_Aura ggonzale +2:02 1 18.0 sThM.q 30001-40000:1 9325075 mea_l2prof_Aura ggonzale +2:02 1 18.0 sThM.q 40001-50000:1 9325076 mea_l2prof_Aura ggonzale +2:02 1 18.0 sThM.q 50001-60000:1 quota rule resource=value/limit %used ------------------- ------------------------------- ------ max_mem_res_per_user/2 mem_res=8.789T/8.944T 98.3% for ggonzale in queue uThM.q max_slots_per_user/1 slots=500/840 59.5% for ggonzale max_hM_slots_per_user/1 slots=500/840 59.5% for ggonzale in queue sThM.q ------------------- ------------------------------- ------
Overall Quota Usage
quota rule resource=value/limit %used ------------------- ------------------------------- ------ total_mem_res/2 mem_res=19.78T/35.78T 55.3% for * in queue uThM.q blast2GO/1 slots=36/110 32.7% for * total_slots/1 slots=1711/5960 28.7% for * total_gpus/1 num_gpu=1/8 12.5% for * in queue lTgpu.q total_mem_res/1 mem_res=508.0G/39.94T 1.2% 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 Sun Aug 3 17:47:25 EDT 2025 quota rule resource=value/limit %used filter --------------------------------------------------------------------------------------------------- total_mem_res/1 mem_res=508.0G/39.94T 1.2% for * in queue uThC.q total_mem_res/2 mem_res=19.78T/35.78T 55.3% for * in queue uThM.q
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 - 503.4 29.6 188.1 - 473.8 315.3 - 32 7 7.1 - 25 24.9 compute-64-18 - 503.4 27.3 264.1 - 476.1 239.3 - 32 20 5.6 - 12 26.4 compute-65-02 - 503.5 62.3 464.0 - 441.2 39.5 - 64 42 19.8 - 22 44.2 compute-65-03 - 503.5 38.6 344.0 - 464.9 159.5 - 64 21 13.4 - 43 50.5 compute-65-04 - 503.5 45.3 372.0 - 458.2 131.5 - 64 26 10.9 - 38 53.1 compute-65-05 - 503.5 38.3 320.0 - 465.2 183.5 - 64 24 10.5 - 40 53.5 compute-65-06 - 503.5 20.0 0.0 - 483.5 503.5 - 64 45 45.1 - 19 18.9 compute-65-07 - 503.5 x x - node down - 64 x x - x x compute-65-09 - 503.5 66.3 500.0 - 437.2 3.5 - 64 50 10.6 - 14 53.4 compute-65-10 - 503.5 44.2 216.0 - 459.3 287.5 - 64 12 11.2 - 52 52.8 compute-65-11 - 503.5 20.0 0.0 - 483.5 503.5 - 64 33 33.0 - 31 31.0 compute-65-12 - 503.5 38.2 342.0 - 465.3 161.5 - 64 61 12.2 - 3 51.8 compute-65-13 - 503.5 54.0 234.0 - 449.5 269.5 - 64 13 13.0 - 51 51.0 compute-65-14 - 503.5 x x - node down - 64 x x - x x compute-65-15 - 503.5 19.1 0.0 - 484.4 503.5 - 64 32 32.0 - 32 32.0 compute-65-16 - 503.5 x x - node down - 64 x x - x x compute-65-17 - 503.5 51.1 216.0 - 452.4 287.5 - 64 12 12.0 - 52 52.0 compute-65-18 - 503.5 44.6 234.0 - 458.9 269.5 - 64 13 11.0 - 51 53.0 compute-65-19 - 503.5 x x - node down - 64 x x - x x compute-65-20 - 503.5 x x - node down - 64 x x - x x compute-65-21 - 503.5 56.6 336.0 - 446.9 167.5 - 64 24 23.6 - 40 40.4 compute-65-22 - 503.5 63.8 234.0 - 439.7 269.5 - 64 13 13.0 - 51 51.0 compute-65-23 - 503.5 51.7 408.0 - 451.8 95.5 - 64 28 11.2 - 36 52.8 compute-65-24 - 503.5 47.4 372.0 - 456.1 131.5 - 64 26 12.0 - 38 52.0 compute-65-25 - 503.5 54.5 300.0 - 449.0 203.5 - 64 22 12.1 - 42 51.9 compute-65-26 - 503.5 38.5 280.0 - 465.0 223.5 - 64 14 10.4 - 50 53.6 compute-65-27 - 503.5 70.8 408.0 - 432.7 95.5 - 64 28 28.0 - 36 36.0 compute-65-29 - 503.5 50.9 234.0 - 452.6 269.5 - 64 13 11.2 - 51 52.8 compute-65-30 - 503.5 39.3 384.0 - 464.2 119.5 - 64 10 10.7 - 54 53.3 compute-75-01 - 1007.5 67.3 594.1 - 940.2 413.4 - 128 49 25.7 - 79 102.3 compute-75-02 - 1007.5 97.3 624.0 - 910.2 383.5 - 128 40 27.9 - 88 100.1 compute-75-03 - 755.5 56.4 510.0 - 699.1 245.5 - 128 39 21.2 - 89 106.8 compute-75-04 - 755.5 73.2 570.0 - 682.3 185.5 - 128 37 28.9 - 91 99.0 compute-75-05 - 755.5 82.5 606.0 - 673.0 149.5 - 128 39 22.7 - 89 105.3 compute-75-06 - 755.5 68.6 498.0 - 686.9 257.5 - 128 33 33.1 - 95 94.9 compute-75-07 - 755.5 103.0 474.0 - 652.5 281.5 - 128 37 31.3 - 91 96.7 compute-76-03 - 1007.4 75.7 570.5 - 931.7 436.9 - 128 37 23.7 - 91 104.3 compute-76-04 - 1007.4 100.1 834.0 - 907.3 173.4 - 128 57 42.8 - 71 85.2 compute-76-05 - 1007.4 31.7 438.0 - 975.7 569.4 - 128 35 25.3 - 93 102.7 compute-76-06 - 1007.4 63.8 718.0 - 943.6 289.4 - 128 71 62.0 - 57 66.0 compute-76-07 - 1007.4 68.2 552.0 - 939.2 455.4 - 128 36 21.9 - 92 106.1 compute-76-08 - 1007.4 514.8 1000.0 - 492.6 7.4 - 128 10 11.5 - 118 116.5 compute-76-09 - 1007.4 65.2 792.0 - 942.2 215.4 - 128 60 38.2 - 68 89.8 compute-76-10 - 1007.4 59.3 360.0 - 948.1 647.4 - 128 24 25.6 - 104 102.4 compute-76-11 - 1007.4 49.4 510.0 - 958.0 497.4 - 128 39 25.9 - 89 102.2 compute-76-12 - 1007.4 25.8 2.0 - 981.6 1005.4 - 128 55 55.2 - 73 72.8 compute-76-13 - 1007.4 27.6 0.0 - 979.8 1007.4 - 128 67 67.2 - 61 60.8 compute-76-14 - 1007.4 50.5 804.0 - 956.9 203.4 - 128 66 22.7 - 62 105.3 compute-84-01 - 881.1 160.6 552.0 - 720.5 329.1 - 112 36 19.3 - 76 92.7 compute-93-01 - 503.8 20.6 66.0 - 483.2 437.8 - 64 9 11.2 - 55 52.8 compute-93-02 - 755.6 41.7 174.0 - 713.9 581.6 - 72 15 15.1 - 57 56.9 compute-93-03 - 755.6 54.7 534.0 - 700.9 221.6 - 72 43 13.3 - 29 58.7 compute-93-04 - 755.6 34.1 294.0 - 721.5 461.6 - 72 27 14.8 - 45 57.2 ======= ===== ====== ==== ==== ===== Totals 33616.8 3064.5 18726.8 4296 1550 1066.2 ==> 9.1% 55.7% ==> 36.1% 24.8% Most unreserved/unused memory (1007.4/979.8GB) is on compute-76-13 with 61/60.8 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 - 1511.4 113.8 978.0 - 1397.6 533.4 - 192 65 32.4 - 127 159.7 compute-76-02 - 1511.4 x x - node down - 192 x x - x x compute-93-05 - 2016.3 59.1 323.6 - 1957.2 1692.7 - 96 18 16.8 - 78 79.2 compute-93-06 - 3023.9 53.1 371.7 - 2970.8 2652.2 - 56 26 9.9 - 30 46.0 ======= ===== ====== ==== ==== ===== Totals 6551.6 226.0 1673.4 344 109 59.1 ==> 3.4% 25.5% ==> 31.7% 17.2% Most unreserved/unused memory (2652.2/2970.8GB) is on compute-93-06 with 30/46.0 slots/CPUs free/unused.
Past Memory Usage vs Memory Reservation
Past memory use in hi-mem queues between 07/23/25 and 07/30/25 queues: ?ThM.q ----------- total --------- -------------------- mean -------------------- user no. of elapsed time eff. reserved maxvmem average ratio name jobs/slots [d] [%] [GB] [GB] [GB] resd/maxvmem --------------- -------------- ------------ ----- --------- -------- --------- ------------ gouldingt 3/60 0.00 macguigand 1/8 0.00 4.4 640.0 0.2 0.0 3053.3 > 2.5 wirshingh 1/9 0.00 0.9 72.0 0.0 0.0 1912.5 > 2.5 bourkeb 1/8 0.00 29.3 256.0 1.3 0.7 201.6 > 2.5 jassoj 1/1 0.00 140.7 128.0 130.6 128.5 1.0 palmerem 5/5 0.02 11.4 120.0 8.4 5.2 14.2 > 2.5 ariasc 7/190 0.03 54.4 702.9 40.2 12.8 17.5 > 2.5 carlsenm 2/2 0.06 99.7 10.0 0.3 0.2 32.9 > 2.5 collensab 1/4 0.07 27.8 180.0 415.7 39.7 0.4 cerqueirat 2/48 0.09 32.2 384.0 271.9 3.2 1.4 lingof 15/15 0.17 99.9 63.0 15.9 15.6 4.0 > 2.5 campanam 5/193 0.31 11.0 400.0 32.7 15.1 12.2 > 2.5 mghahrem 7/7 0.37 63.7 0.0 82.9 58.8 0.0 hydem2 246/505 0.55 70.9 14.0 8.2 6.3 1.7 pcristof 268/8576 0.57 52.8 300.0 45.0 1.4 6.7 > 2.5 radicev 7/13 0.72 56.7 477.3 442.8 81.1 1.1 ramosi 21/560 0.84 21.4 632.4 174.6 139.8 3.6 > 2.5 granquistm 19/92 0.91 87.0 195.4 29.1 7.8 6.7 > 2.5 parkerld 81/974 1.02 86.9 8.6 16.3 7.8 0.5 wangt2 7/70 1.07 16.2 200.0 166.8 166.8 1.2 vagac 1/20 1.15 99.3 400.0 199.1 2.7 2.0 zehnpfennigj 17/100 1.47 35.0 35.4 315.0 149.6 0.1 bakerd 6/48 1.61 84.1 400.0 67.9 28.5 5.9 > 2.5 gonzalezm2 9/105 1.82 16.1 137.2 26.7 14.4 5.1 > 2.5 uribeje 40/438 1.94 27.2 309.8 8.2 8.0 37.6 > 2.5 macdonaldk 96/1216 1.94 111.8 124.4 42.5 2.4 2.9 > 2.5 hinckleya 23/99 2.90 92.7 23.4 27.5 8.6 0.9 urrutia-carterje 13/41 3.10 87.9 0.0 166.8 16.9 0.0 zhangy 36/148 5.06 2.0 391.6 55.5 2.3 7.1 > 2.5 toths 308/4928 20.83 77.5 256.0 32.0 12.5 8.0 > 2.5 pappalardop 1090/1090 56.70 99.4 299.9 1.2 1.1 247.1 > 2.5 collinsa 261/4120 80.09 78.8 399.9 72.8 29.0 5.5 > 2.5 --------------- -------------- ------------ ----- --------- -------- --------- ------------ all 2600/23693 185.43 81.4 325.4 49.7 18.6 6.6 > 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 --------------- -------------- ------------ ----- --------- -------- --------- ------------ --------------- -------------- ------------ ----- --------- -------- --------- ------------ all 0/0 0.00
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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 Sun Aug 3 17:06:02 EDT 2025
Disk Usage
Filesystem Size Used Avail Capacity Mounted on netapp-fas83:/vol_home 22.05T 20.03T 2.02T 91%/12% /home netapp-fas83-n02:/vol_data_public 142.50T 38.30T 104.20T 27%/3% /data/public netapp-fas83-n02:/vol_pool_public 230.00T 73.51T 156.49T 32%/1% /pool/public gpfs01:public 400.00T 302.19T 97.81T 76%/38% /scratch/public netapp-fas83-n02:/vol_pool_kozakk 11.00T 10.72T 289.05G 98%/1% /pool/kozakk netapp-fas83-n02:/vol_pool_nmnh_ggi 21.00T 13.79T 7.21T 66%/1% /pool/nmnh_ggi netapp-fas83-n02:/vol_pool_sao_access 19.95T 5.46T 14.49T 28%/2% /pool/sao_access netapp-fas83-n02:/vol_pool_sao_rtdc 10.45T 915.53G 9.56T 9%/1% /pool/sao_rtdc netapp-fas83-n02:/vol_pool_sylvain 30.00T 24.50T 5.50T 82%/6% /pool/sylvain gpfs01:nmnh_bradys 25.00T 22.18T 2.82T 89%/59% /scratch/bradys gpfs01:nmnh_kistlerl 120.00T 112.13T 7.87T 94%/6% /scratch/kistlerl gpfs01:nmnh_meyerc 25.00T 18.18T 6.82T 73%/2% /scratch/meyerc gpfs01:nmnh_quattrinia 60.00T 47.46T 12.54T 80%/7% /scratch/nmnh_corals gpfs01:nmnh_ggi 77.00T 22.02T 54.98T 29%/5% /scratch/nmnh_ggi gpfs01:nmnh_lab 25.00T 9.61T 15.39T 39%/3% /scratch/nmnh_lab gpfs01:nmnh_mammals 35.00T 20.51T 14.49T 59%/23% /scratch/nmnh_mammals gpfs01:nmnh_mdbc 50.00T 45.85T 4.15T 92%/9% /scratch/nmnh_mdbc gpfs01:nmnh_ocean_dna 40.00T 35.28T 4.72T 89%/1% /scratch/nmnh_ocean_dna gpfs01:nzp_ccg 45.00T 34.76T 10.24T 78%/2% /scratch/nzp_ccg gpfs01:sao_atmos 350.00T 236.50T 113.50T 68%/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 27.26T 52.74T 35%/35% /scratch/scbi_gis gpfs01:nmnh_schultzt 35.00T 19.99T 15.01T 58%/43% /scratch/schultzt gpfs01:serc_cdelab 15.00T 12.70T 2.30T 85%/4% /scratch/serc_cdelab gpfs01:stri_ap 25.00T 18.96T 6.04T 76%/1% /scratch/stri_ap gpfs01:sao_sylvain 70.00T 59.83T 10.17T 86%/47% /scratch/sylvain gpfs01:usda_sel 25.00T 5.50T 19.50T 22%/6% /scratch/usda_sel gpfs01:wrbu 50.00T 39.13T 10.87T 79%/6% /scratch/wrbu netapp-fas83-n01:/vol_data_admin 4.75T 53.22G 4.70T 2%/1% /data/admin netapp-fas83-n01:/vol_pool_admin 47.50T 26.32T 21.18T 56%/1% /pool/admin gpfs01:admin 20.00T 3.48T 16.52T 18%/31% /scratch/admin gpfs01:bioinformatics_dbs 10.00T 5.00T 5.00T 50%/2% /scratch/dbs gpfs01:tmp 100.00T 34.24T 65.76T 35%/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 395.63T 353.39T 42.24T 90%/90% /qnas/mesa qnas:/sil 3840.36T 2972.32T 868.04T 78%/78% /qnas/sil nas1:/mnt/pool/admin 20.00T 7.93T 12.07T 40%/1% /store/admin nas1:/mnt/pool/public 175.00T 86.33T 88.67T 50%/1% /store/public nas1:/mnt/pool/nmnh_bradys 39.99T 10.37T 29.63T 26%/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 13.29T 26.71T 34%/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 262.21T 112.63T 149.59T 43%/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 367.65T 382.35T 50%/1% /store/sao_atmos nas2:/mnt/pool/n1p2/nmnh_schultzt 79.59T 28.26T 51.33T 36%/1% /store/schultzt nas1:/mnt/pool/sao_sylvain 46.23T 6.70T 39.53T 15%/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 4.18TB 92.9% 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 512.8GB 100.2% 0.13M 1.3% *** Sogol Sanjaripour, SAO/HEA - ssanjaripour /home 512.1GB 100.0% 0.00M 0.0% *** Molly Corder, SMSC - corderm /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 471.4GB 92.1% 0.03M 0.3% Shauna Rasband, NMNH - rasbands /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=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 15.00TB 100.0% 0.02M 0.1% *** Samuel Vohsen, NMNH - vohsens /scratch/public 13.90TB 92.7% 1.79M 4.6% Ting Wang, NMNH - wangt2 /scratch/public 13.50TB 90.0% 0.91M 2.3% Karen Holm, SMSC - holmk /scratch/public 13.50TB 90.0% 2.09M 5.4% Solomon Chak, SERC - chaks /scratch/public 12.80TB 85.3% 3.97M 10.2% Kevin Mulder, NZP - mulderk /scratch/public 11.30TB 75.3% 33.55M 86.5% Zelong Nie, NMNH - niez 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 3.46T 41.0G 3.42T 1.2% | 0.0G 3.49T 0.0% | 0.00 65-02 3.49T 24.6G 3.47T 0.7% | 0.0G 3.49T 0.0% | 0.00 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% | 0.0G 3.49T 0.0% | 0.00 65-05 3.49T 24.6G 3.47T 0.7% | 0.0G 3.49T 0.0% | 0.00 65-06 3.49T 24.6G 3.47T 0.7% | 0.0G 3.49T 0.0% | 0.00 65-09 3.49T 24.6G 3.47T 0.7% | 0.0G 3.49T 0.0% | 0.00 65-10 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-11 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-12 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 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 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-17 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-18 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-19 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-20 1.75T 12.3G 1.73T 0.7% | 1.75T 0.0G 100.0% | 145.42 65-21 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-22 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-23 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-24 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-25 1.75T 12.3G 1.73T 0.7% | 1.75T 0.0G 100.0% | 145.42 65-26 1.75T 12.3G 1.73T 0.7% | 1.75T 0.0G 100.0% | 145.42 65-27 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 65-28 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 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 50.2G 6.93T 0.7% | 0.0G 6.98T 0.0% | 0.00 75-03 6.98T 50.2G 6.93T 0.7% | 0.0G 6.98T 0.0% | 0.00 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% | 0.0G 6.98T 0.0% | 0.00 75-06 6.98T 50.2G 6.93T 0.7% | 0.0G 6.98T 0.0% | 0.00 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% | 0.0G 1.75T 0.0% | 0.00 76-04 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 76-13 1.75T 31.7G 1.71T 1.8% | 0.0G 1.75T 0.0% | 0.00 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 133.2T 981.0G 132.2T 0.7% | 5.24T 128.0T 3.9% | 5.46
Note: the disk usage and the quota report are compiled 4x/day, the SSD usage is updated every 10m.