Hydra-7@ADC Status
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Hydra has been moved to the new data center, updates are at the
Data Center Move page. You can view the list of all the available modules: as an HTML document, or a plain ASCII text file. You can also check the bandwidth between SAO and HDC. You can select to have this page refreshed every 5m, 20m, or 1hr, this one will auto-refresh every 1hr. |
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Usage
Current snapshot sorted by nodes' . Usage vs time, for length= and user= highlighted.
As of Tue May 12 19:07:03 2026: #CPUs/nodes 5564/74, 1 down.
Loads: head node: 2.64, login nodes: 0.03, 0.54, 0.11, 6.04; NSDs: 0.17, 0.14, 1.64, 4.13, 4.13; licenses: none used.
Queues status: 14 disabled, 4 need attention, none in error state.
30 users with running jobs (slots/jobs):
Current load: 572.9, #running (slots/jobs): 1,483/128, usage: 26.7%, efficiency: 38.6%
2 users with queued jobs (jobs/tasks/slots):
collinsa=1/237/3792 johnsonsj=2/1548/3096 Total number of queued jobs/tasks/slots: 3/1,785/6,888
76 users have/had running or queued jobs over the past 7 days, 95 over the past 15 days. 111 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 Tuesday, 12-May-2026 19:12:52 EDT with mk-webpage.pl ver. 7.3/1 (Oct 2025/SGK) in 0:53. -
Warnings
Oversubscribed Jobs
As of Tue May 12 19:07:04 EDT 2026 (24 oversubscribed jobs, showing no more than 3 per user) Total running (PEs/jobs) = 1483/128, 3 queued (jobs), showing only oversubscribed jobs (cpu% > 133% & age > 1h) for all users. jobID name user age nPEs cpu% queue node taskID 14344827 euk-SNP_array johnsonsj +1:01 2 135.8% mThM.q 65-19 114 14344827 euk-SNP_array johnsonsj +1:00 2 134.9% mThM.q 76-13 135 14345675 alignment_bisma mancusij 21:49 8 175.5% lThM.q 93-01 14347024 alignment_bisma mancusij 06:12 2 203.6% mThM.q 65-22 14347027 alignment_bisma mancusij 06:12 2 205.2% lThM.q 93-02 (more by mancusij) 14347564 run_sf mashby 03:35 2 184.7% sThC.q 75-04 11401 14347564 run_sf mashby 03:35 2 187.9% sThC.q 75-04 15401 14347564 run_sf mashby 03:35 2 184.0% sThC.q 75-06 15801 (more by mashby) ⇒ Equivalent to 44.1 overused CPUs: 56 CPUs used at 178.7% on average. To see them all use: 'q+ -osub -u mancusij' (5) 'q+ -osub -u mashby' (17)
Inefficient Jobs
As of Tue May 12 19:07:04 EDT 2026 (50 inefficient jobs, showing no more than 3 per user) Total running (PEs/jobs) = 1483/128, 3 queued (jobs), showing only inefficient jobs (cpu% < 33% & age > 1h) for all users. jobID name user age nPEs cpu% queue node taskID 12804788 IQ_50p_iqtree morrisseyd +40:11 64 18.7% lThC.q 76-03 13911849 Austro184 blaimerbb +7:06 12 17.7% mThC.q 64-13 13950738 vitis_ssp_cactu niez +6:11 110 1.2% mThC.q 76-08 13993447 earlgrey zhangy +5:22 12 29.9% lThM.q 65-10 13 13993447 earlgrey zhangy +5:22 12 32.0% lThM.q 65-07 4 13993447 earlgrey zhangy +5:22 12 28.4% lThM.q 65-05 5 (more by zhangy) 14230685 iqtree.50p.oct2 cerqueirat +2:23 12 17.8% lThM.q 65-21 14296899 run-SDR-directo sbeaudry +2:03 12 16.7% mThC.q 76-14 14343931 dxy_windowed_wi figueiroh +1:04 16 6.2% mThC.q 65-06 1 14343931 dxy_windowed_wi figueiroh +1:04 16 4.5% mThC.q 65-18 10 14343931 dxy_windowed_wi figueiroh +1:04 16 4.3% mThC.q 65-29 11 (more by figueiroh) 14346283 IQ50_Myr santosbe 09:54 30 28.3% lThM.q 65-12 14346358 P2_Apply_SZA_to mghahrem 09:46 6 16.4% mThM.q 65-27 14346767 make_plink.job beckerm 07:30 8 11.9% mThM.q 65-25 14346768 make_plink.job beckerm 07:29 8 11.9% mThM.q 93-05 14346779 assemble_2026-0 girardmg 06:41 2 3.8% lTWFM.sq 64-15 14347564 run_sf mashby 02:55 2 19.5% sThC.q 64-06 87401 14348022 bears atkinsonga 01:49 1 1.8% lTWFM.sq 64-16 14348240 dl_hrrr_vwind taom 01:07 1 15.6% mThC.q 76-08 ⇒ Equivalent to 767.7 underused CPUs: 840 CPUs used at 8.6% on average. To see them all use: 'q+ -ineff -u figueiroh' (32) 'q+ -ineff -u zhangy' (5)
Nodes with Excess Load
As of Tue May 12 19:07:06 EDT 2026 (5 nodes have a high load, offset=1.5) #slots excess node #CPUs used load load ----------------------------------- 65-23 64 2 4.5 2.5 * 75-02 128 10 11.9 1.9 * 75-05 128 0 4.8 4.8 * 75-06 128 40 41.6 1.6 * 93-01 64 9 18.8 9.8 * Total excess load = 20.4
High Memory Jobs
Statistics
User nSlots memory memory vmem maxvmem ratio Name used reserved used used used [TB] resd/maxvm -------------------------------------------------------------------------------------------------- collinsa 160 44.9% 1.4258 35.4% 0.0934 22.9% 0.0820 0.1452 9.8 zhangy 88 24.7% 1.3750 34.1% 0.0170 4.2% 0.1515 0.8038 1.7 johnsonsj 16 4.5% 0.3125 7.8% 0.1836 45.0% 0.1841 0.1850 1.7 beckerm 16 4.5% 0.3125 7.8% 0.0109 2.7% 0.0121 0.0121 25.9 santosbe 30 8.4% 0.2930 7.3% 0.0388 9.5% 0.0486 0.0486 6.0 mancusij 14 3.9% 0.1875 4.7% 0.0134 3.3% 0.1404 0.1404 1.3 cerqueirat 12 3.4% 0.0586 1.5% 0.0237 5.8% 0.0271 0.0271 2.2 girardmg 1 0.3% 0.0312 0.8% 0.0000 0.0% 0.0035 0.0035 9.0 kweskinm 1 0.3% 0.0234 0.6% 0.0167 4.1% 0.0167 0.0167 1.4 peresph 12 3.4% 0.0117 0.3% 0.0024 0.6% 0.0024 0.0025 4.6 mghahrem 6 1.7% 0.0000 0.0% 0.0079 1.9% 0.0080 0.0081 0.0 ================================================================================================== Total 356 4.0313 0.4078 0.6761 1.3931 2.9
Warnings
32 high memory jobs produced a warning:
2 for beckerm 1 for cerqueirat 6 for collinsa 8 for johnsonsj 1 for kweskinm 4 for mancusij 1 for mghahrem 1 for peresph 1 for santosbe 7 for zhangyDetails 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=46 mThC.q=747 lThC.q=204 uThC.q=48 1045 5016 20.8% 51.3% sThM.q=161 mThM.q=40 lThM.q=155 uThM.q=0 356 4680 7.6% 132.8% sTgpu.q=0 mTgpu.q=4 lTgpu.q=4 qgpu.iq=32 40 104 38.5% 10.7% uTxlM.rq=0 0 408 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=3 3 4 75.0% 0.6% qrsh.iq=16 16 68 23.5% 1.9% Total: 1460
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Avail Slots/Wait Job(s)
Available Slots
As of Tue May 12 19:07:04 EDT 2026 3675 avail(slots), free(load)=5032.5, unresd(mem)=30139.9G, for hgrp=@hicpu-hosts and minMem=1.0G/slot total(nCPU) 5040 total(mem) 39.1T unused(slots) 3675 unused(load) 5032.5 ie: 72.9% 99.9% unreserved(mem) 29.4T unused(mem) 37.3T ie: 75.3% 95.3% unreserved(mem) 8.2G unused(mem) 10.4G per unused(slots)
3563 avail(slots), free(load)=4770.5, unresd(mem)=29247.5G, for hgrp=@himem-hosts and minMem=1.0G/slot total(nCPU) 4776 total(mem) 37.7T unused(slots) 3563 unused(load) 4770.5 ie: 74.6% 99.9% unreserved(mem) 28.6T unused(mem) 36.1T ie: 75.7% 95.6% unreserved(mem) 8.2G unused(mem) 10.4G per unused(slots)
328 avail(slots), free(load)=351.9, unresd(mem)=4732.9G, for hgrp=@xlmem-hosts and minMem=1.0G/slot total(nCPU) 352 total(mem) 4.9T unused(slots) 328 unused(load) 351.9 ie: 93.2% 100.0% unreserved(mem) 4.6T unused(mem) 4.8T ie: 93.9% 97.9% unreserved(mem) 14.4G unused(mem) 15.0G per unused(slots)
64 avail(slots), free(load)=103.9, unresd(mem)=624.2G, for hgrp=@gpu-hosts and minMem=1.0G/slot total(nCPU) 104 total(mem) 0.7T unused(slots) 64 unused(load) 103.9 ie: 61.5% 99.9% unreserved(mem) 0.6T unused(mem) 0.7T ie: 82.7% 93.7% unreserved(mem) 9.8G unused(mem) 11.0G per unused(slots)
GPU Usage
Tue May 12 19:07:11 EDT 2026 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 21.9 481.4 - 4/3 - 64 36 2.0 - 28 62.0 compute-79-01 - 125.5 10.9 114.6 - 2/0 - 20 0 0.1 - 20 19.9 compute-79-02 - 125.5 15.0 110.5 - 2/2 - 20 4 2.2 - 16 17.8 Total GPU=8, used=5 (62.5%)
Waiting Job(s)
As of Tue May 12 19:07:06 EDT 2026 1 job waiting for collinsa: jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 14347905 megahit_array collinsa 02:17 16 146.0 sThM.q 29-265:1 quota rule resource=value/limit %used ------------------- ------------------------------- ------ max_slots_per_user/1 slots=160/840 19.0% for collinsa max_hM_slots_per_user/1 slots=160/840 19.0% for collinsa in queue sThM.q max_mem_res_per_user/2 mem_res=1.426T/8.944T 15.9% for collinsa in queue uThM.q ------------------- ------------------------------- ------ 2 jobs waiting for johnsonsj: jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 14344845 GenomicsDBImpor johnsonsj +1:01 2 8.0 mThC.q 1-774:1 14344847 Genotyping_arra johnsonsj +1:01 2 8.0 mThC.q 1-774:1 quota rule resource=value/limit %used ------------------- ------------------------------- ------ max_mem_res_per_user/2 mem_res=320.0G/8.944T 3.5% for johnsonsj in queue uThM.q max_hM_slots_per_user/2 slots=16/585 2.7% for johnsonsj in queue mThM.q max_slots_per_user/1 slots=16/840 1.9% for johnsonsj ------------------- ------------------------------- ------
Overall Quota Usage
quota rule resource=value/limit %used ------------------- ------------------------------- ------ total_gpus/1 GPUS=2/8 25.0% for * in queue mTgpu.q total_gpus/1 GPUS=2/8 25.0% for * in queue lTgpu.q total_slots/1 slots=1485/5960 24.9% for * total_mem_res/1 mem_res=6.018T/39.94T 15.1% for * in queue uThC.q blast2GO/1 slots=16/110 14.5% for * total_gpus/1 GPUS=1/8 12.5% for * in queue qgpu.iq total_mem_res/2 mem_res=4.031T/35.78T 11.3% for * in queue uThM.q
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Memory Usage
Reserved Memory, All High-Memory Queues
Select length:
Current Memory Quota Usage
As of Tue May 12 19:07:06 EDT 2026 quota rule resource=value/limit %used filter --------------------------------------------------------------------------------------------------- total_mem_res/1 mem_res=6.018T/39.94T 15.1% for * in queue uThC.q total_mem_res/2 mem_res=4.031T/35.78T 11.3% for * in queue uThM.q
Current Memory Usage by Compute Node, High Memory Nodes Only
hostgroup: @himem-hosts (56 hosts) - ----------- memory (GB) ------------ - --------- slots/CPUs --------- hostname - avail used resd - unused unresd - nCPU used load - free unused compute-64-17 - 503.5 16.7 146.2 - 486.8 357.3 - 32 16 13.2 - 16 18.8 compute-64-18 - 503.5 21.8 40.2 - 481.7 463.3 - 32 2 2.0 - 30 30.0 compute-65-02 - 503.5 24.1 8.0 - 479.4 495.5 - 64 8 7.7 - 56 56.3 compute-65-03 - 503.5 17.2 0.0 - 486.3 503.5 - 64 0 0.2 - 64 63.8 compute-65-04 - 503.5 21.8 54.0 - 481.7 449.5 - 64 7 4.6 - 57 59.4 compute-65-05 - 503.5 22.7 320.0 - 480.8 183.5 - 64 28 3.9 - 36 60.1 compute-65-06 - 503.5 15.9 128.0 - 487.6 375.5 - 64 16 1.3 - 48 62.7 compute-65-07 - 503.5 19.2 320.0 - 484.3 183.5 - 64 28 3.4 - 36 60.6 compute-65-09 - 503.5 17.6 128.0 - 485.9 375.5 - 64 16 0.5 - 48 63.5 compute-65-10 - 503.5 20.7 320.0 - 482.8 183.5 - 64 28 4.9 - 36 59.1 compute-65-11 - 503.5 20.0 140.0 - 483.5 363.5 - 64 28 12.0 - 36 52.0 compute-65-12 - 503.5 36.1 428.0 - 467.4 75.5 - 64 46 7.0 - 18 57.0 compute-65-13 - 503.5 29.9 40.0 - 473.6 463.5 - 64 2 2.3 - 62 61.7 compute-65-14 - 503.5 33.9 192.0 - 469.6 311.5 - 64 12 11.5 - 52 52.5 compute-65-15 - 503.5 25.0 168.0 - 478.5 335.5 - 64 18 2.6 - 46 61.4 compute-65-16 - 503.5 18.2 128.0 - 485.3 375.5 - 64 16 0.1 - 48 63.9 compute-65-17 - 503.5 17.9 134.0 - 485.6 369.5 - 64 17 1.0 - 47 63.0 compute-65-18 - 503.5 17.1 128.0 - 486.4 375.5 - 64 16 0.1 - 48 63.9 compute-65-19 - 503.5 26.1 360.0 - 477.4 143.5 - 64 30 6.3 - 34 57.7 compute-65-20 - 503.5 38.8 274.0 - 464.7 229.5 - 64 32 13.8 - 32 50.2 compute-65-21 - 503.5 45.0 188.0 - 458.5 315.5 - 64 28 2.6 - 36 61.4 compute-65-22 - 503.5 35.1 166.0 - 468.4 337.5 - 64 19 5.6 - 45 58.4 compute-65-23 - 503.5 30.5 32.0 - 473.0 471.5 - 64 2 4.5 - 62 59.5 compute-65-24 - 503.5 24.9 168.0 - 478.6 335.5 - 64 18 2.3 - 46 61.7 compute-65-25 - 503.5 26.9 296.0 - 476.6 207.5 - 64 32 8.9 - 32 55.1 compute-65-26 - 503.5 26.0 274.0 - 477.5 229.5 - 64 32 14.2 - 32 49.8 compute-65-27 - 503.5 17.8 128.0 - 485.7 375.5 - 64 22 6.4 - 42 57.6 compute-65-28 - 503.5 26.5 256.0 - 477.0 247.5 - 64 20 8.0 - 44 56.0 compute-65-29 - 503.5 24.9 192.0 - 478.6 311.5 - 64 24 7.0 - 40 57.0 compute-65-30 - 503.5 20.8 274.0 - 482.7 229.5 - 64 32 13.1 - 32 50.9 compute-75-01 - 1007.5 87.5 256.1 - 920.0 751.4 - 128 64 59.5 - 64 68.5 compute-75-02 - 1007.5 29.1 4.0 - 978.4 1003.5 - 128 10 11.9 - 118 116.1 compute-75-03 - 755.5 20.4 48.0 - 735.1 707.5 - 128 24 14.9 - 104 113.0 compute-75-04 - 755.5 38.9 138.0 - 716.6 617.5 - 128 26 21.8 - 102 106.2 compute-75-05 - 755.5 16.2 0.0 - 739.3 755.5 - 128 0 4.8 - 128 123.2 compute-75-06 - 755.5 72.6 190.0 - 682.9 565.5 - 128 40 41.5 - 88 86.5 compute-75-07 - 755.5 15.8 128.0 - 739.7 627.5 - 128 16 1.3 - 112 126.7 compute-76-03 - 1007.4 81.3 402.5 - 926.1 604.9 - 128 80 17.6 - 48 110.4 compute-76-04 - 1007.4 30.3 146.0 - 977.1 861.4 - 128 16 3.6 - 112 124.4 compute-76-05 - 1007.4 19.5 32.0 - 987.9 975.4 - 128 1 0.2 - 127 127.8 compute-76-06 - 1007.4 27.9 128.0 - 979.5 879.4 - 128 32 13.4 - 96 114.6 compute-76-07 - 1007.4 28.3 146.0 - 979.1 861.4 - 128 16 13.8 - 112 114.2 compute-76-08 - 1007.4 22.2 802.0 - 985.2 205.4 - 128 111 1.2 - 17 126.8 compute-76-09 - 1007.4 22.0 2.0 - 985.4 1005.4 - 128 8 6.8 - 120 121.2 compute-76-10 - 1007.4 23.8 274.0 - 983.6 733.4 - 128 32 13.3 - 96 114.7 compute-76-11 - 1007.4 23.4 8.0 - 984.0 999.4 - 128 8 7.8 - 120 120.2 compute-76-12 - 1007.4 24.1 8.0 - 983.3 999.4 - 128 8 7.0 - 120 121.0 compute-76-13 - 1007.4 36.9 296.0 - 970.5 711.4 - 128 18 10.1 - 110 118.0 compute-76-14 - 1007.4 35.2 224.0 - 972.2 783.4 - 128 28 2.6 - 100 125.4 compute-84-01 - 881.1 101.5 146.0 - 779.6 735.1 - 112 16 14.5 - 96 97.5 compute-93-01 - 503.8 82.0 120.0 - 421.8 383.8 - 64 9 18.8 - 55 45.2 compute-93-02 - 755.6 34.8 166.0 - 720.8 589.6 - 72 19 5.5 - 53 66.5 compute-93-03 - 755.6 19.3 24.0 - 736.3 731.6 - 72 12 9.1 - 60 63.0 compute-93-04 - 755.6 18.6 128.0 - 737.0 627.6 - 72 16 1.1 - 56 70.9 compute-93-05 - 2016.3 24.5 159.8 - 1991.8 1856.5 - 96 8 2.1 - 88 93.9 compute-93-06 - 3023.9 x x - node down - 56 x x - x x ======= ===== ====== ==== ==== ===== Totals 38654.3 1675.2 9406.8 4776 1213 474.8 ==> 4.3% 24.3% ==> 25.4% 9.9% Most unreserved/unused memory (1856.5/1991.8GB) is on compute-93-05 with 88/93.9 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 36.3 146.4 - 1475.1 1365.0 - 192 16 14.8 - 176 177.2 compute-76-02 - 1511.4 43.7 -0.0 - 1467.7 1511.4 - 192 0 1.1 - 192 190.9 compute-93-05 - 2016.3 24.5 159.8 - 1991.8 1856.5 - 96 8 2.1 - 88 93.9 compute-93-06 - 3023.9 x x - node down - 56 x x - x x ======= ===== ====== ==== ==== ===== Totals 5039.1 104.5 306.2 480 24 18.0 ==> 2.1% 6.1% ==> 5.0% 3.7% Most unreserved/unused memory (1856.5/1991.8GB) is on compute-93-05 with 88/93.9 slots/CPUs free/unused.
Past Memory Usage vs Memory Reservation
Past memory use in hi-mem queues between 04/29/26 and 05/06/26 queues: ?ThM.q ----------- total --------- -------------------- mean -------------------- user no. of elapsed time eff. reserved maxvmem average ratio name jobs/slots [d] [%] [GB] [GB] [GB] resd/maxvmem --------------- -------------- ------------ ----- --------- -------- --------- ------------ triznam 2/2 0.00 656.5 12.0 1.2 0.6 10.1 > 2.5 palmerem 7/7 0.00 47.3 300.0 0.0 0.0 10738.1 > 2.5 athalappila 1/9 0.00 17.5 900.0 180.6 7.0 5.0 > 2.5 bourkeb 5/40 0.00 42.0 256.0 4.3 0.9 59.6 > 2.5 ariasc 1/5 0.04 112.8 25.0 0.7 0.6 37.9 > 2.5 gouldingt 29/576 0.05 14.5 331.3 187.5 94.1 1.8 collensab 6/24 0.07 31.7 180.0 401.1 48.7 0.4 mghahrem 7/7 0.08 99.2 0.0 13.7 4.4 0.0 givensl1 2/40 0.10 81.4 200.0 180.7 9.5 1.1 atkinsonga 135/197 0.15 107.0 62.9 34.3 30.3 1.8 woodh 3/3 0.17 97.8 48.0 1.7 0.5 29.0 > 2.5 martinezl2 7/79 0.32 97.1 93.2 2.0 1.5 45.6 > 2.5 jhora 15/326 0.64 77.1 252.8 67.4 1.6 3.8 > 2.5 cnowlan 102/102 0.70 99.3 10.0 7.7 6.0 1.3 beckerm 9/72 1.04 31.3 85.2 8.3 4.9 10.3 > 2.5 yisraell 1/40 1.16 0.0 400.0 0.2 0.0 2542.2 > 2.5 lealc 3/36 1.17 8.3 144.0 2.4 2.3 59.2 > 2.5 jourdain-fievetl 340/2370 1.44 99.5 61.5 0.5 0.4 114.8 > 2.5 cabreroa 1/10 2.19 84.8 300.0 78.1 27.6 3.8 > 2.5 breusingc 1827/29072 2.65 60.8 319.8 170.4 162.8 1.9 campanam 383/4117 3.80 68.8 131.6 16.8 15.1 7.8 > 2.5 uribeje 10/124 3.95 44.2 590.5 77.3 27.6 7.6 > 2.5 franzena 38/380 4.06 80.4 160.0 85.3 32.8 1.9 zhangy 6/80 4.87 32.2 253.2 145.3 13.0 1.7 collinsa 788/7532 4.93 66.3 134.4 13.9 2.9 9.7 > 2.5 macguigand 1354/5874 5.79 52.3 110.1 26.3 4.0 4.2 > 2.5 girardmg 1277/5884 8.51 53.8 96.6 31.6 5.2 3.1 > 2.5 willishr 117/117 11.44 99.6 10.0 0.7 0.6 15.2 > 2.5 szieba 123/3602 12.46 36.9 0.0 816.5 17.9 0.0 quattrinia 21259/21259 14.45 89.5 16.0 1.9 1.0 8.4 > 2.5 xuj 395/781 30.41 37.6 390.2 60.0 41.6 6.5 > 2.5 santosbe 155/1418 36.78 12.8 959.3 37.1 14.8 25.9 > 2.5 cerqueirat 8768/8768 190.71 99.5 16.0 6.0 4.6 2.7 > 2.5 --------------- -------------- ------------ ----- --------- -------- --------- ------------ all 37176/92953 344.13 76.2 174.2 50.0 11.3 3.5 > 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 users * queues sTgpu.q,mTgpu.q,lTgpu.q to slots=104 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 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 GPUS=8 Limit GPUs per user in all the GPU queues users {*} queues sTgpu.q,mTgpu.q,lTgpu.q,qgpu.iq to GPUS=4 Limit GPUs per user in each GPU queues 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 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 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 {lTWFM.sq} to no_concurrent_jobs=1 users {*} queues {qrsh.iq} to no_concurrent_jobs=4 users {*} queues {qgpu.iq} to no_concurrent_jobs=1 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
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Disk Usage & Quota
As of Tue May 12 17:06:02 EDT 2026
Disk Usage
Filesystem Size Used Avail Capacity Mounted on netapp-fas83:/vol_home 22.36T 19.31T 3.05T 87%/13% /home netapp-fas83-n02:/vol_data_public 332.50T 108.05T 224.45T 33%/2% /data/public gpfs02:public 800.00T 561.31T 238.69T 71%/36% /scratch/public gpfs02:nmnh_bradys 25.00T 19.83T 5.17T 80%/59% /scratch/bradys gpfs02:nmnh_kistlerl 120.00T 88.81T 31.19T 75%/14% /scratch/kistlerl gpfs02:nmnh_meyerc 25.00T 21.09T 3.91T 85%/7% /scratch/meyerc gpfs02:nmnh_corals 60.00T 55.26T 4.74T 93%/23% /scratch/nmnh_corals gpfs02:nmnh_ggi 130.00T 36.46T 93.54T 29%/15% /scratch/nmnh_ggi gpfs02:nmnh_lab 25.00T 11.45T 13.55T 46%/12% /scratch/nmnh_lab gpfs02:nmnh_mammals 35.00T 28.89T 6.11T 83%/39% /scratch/nmnh_mammals gpfs02:nmnh_mdbc 60.00T 49.47T 10.53T 83%/26% /scratch/nmnh_mdbc gpfs02:nmnh_ocean_dna 90.00T 69.48T 20.52T 78%/4% /scratch/nmnh_ocean_dna gpfs02:nzp_ccg 145.00T 23.57T 121.43T 17%/7% /scratch/nzp_ccg gpfs01:ocio_dpo 10.00T 6.55T 3.45T 66%/1% /scratch/ocio_dpo gpfs01:ocio_ids 5.00T 0.00G 5.00T 0%/1% /scratch/ocio_ids gpfs02:pool_kozakk 12.00T 10.67T 1.33T 89%/2% /scratch/pool_kozakk gpfs02:pool_sao_access 50.00T 4.79T 45.21T 10%/9% /scratch/pool_sao_access gpfs02:pool_sao_rtdc 20.00T 908.33G 19.11T 5%/1% /scratch/pool_sao_rtdc gpfs02:sao_atmos 350.00T 261.95T 88.05T 75%/12% /scratch/sao_atmos gpfs02:sao_cga 25.00T 9.44T 15.56T 38%/28% /scratch/sao_cga gpfs02:sao_tess 50.00T 23.25T 26.75T 47%/70% /scratch/sao_tess gpfs02:scbi_gis 200.00T 141.04T 58.96T 71%/8% /scratch/scbi_gis gpfs02:nmnh_schultzt 35.00T 24.81T 10.19T 71%/75% /scratch/schultzt gpfs02:serc_cdelab 35.00T 10.19T 24.81T 30%/18% /scratch/serc_cdelab gpfs02:stri_ap 25.00T 21.80T 3.20T 88%/2% /scratch/stri_ap gpfs01:sao_sylvain 145.00T 44.64T 100.36T 31%/23% /scratch/sylvain gpfs02:usda_sel 25.00T 9.47T 15.53T 38%/38% /scratch/usda_sel gpfs02:wrbu 50.00T 42.96T 7.04T 86%/14% /scratch/wrbu nas1:/mnt/pool/public 175.00T 105.35T 69.65T 61%/1% /store/public nas1:/mnt/pool/nmnh_bradys 40.00T 14.58T 25.42T 37%/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 16.61T 23.39T 42%/1% /store/nmnh_lab nas2:/mnt/pool/nmnh_ocean_dna 70.00T 31.93T 38.07T 46%/1% /store/nmnh_ocean_dna nas1:/mnt/pool/nzp_ccg 251.05T 127.30T 123.75T 51%/1% /store/nzp_ccg nas2:/mnt/pool/nzp_cec 40.00T 20.71T 19.29T 52%/1% /store/nzp_cec nas2:/mnt/pool/n1p2/ocio_dpo 20.00T 17.42T 2.58T 88%/1% /store/ocio_dpo nas2:/mnt/pool/n1p1/sao_atmos 750.00T 431.26T 318.74T 58%/1% /store/sao_atmos nas2:/mnt/pool/n1p2/nmnh_schultzt 80.00T 24.96T 55.04T 32%/1% /store/schultzt nas1:/mnt/pool/sao_sylvain 50.00T 9.64T 40.36T 20%/1% /store/sylvain nas1:/mnt/pool/wrbu 80.00T 10.02T 69.98T 13%/1% /store/wrbu nas1:/mnt/pool/admin 20.00T 8.05T 11.95T 41%/1% /store/admin
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.
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 4.13TB 91.8% 5.07M 50.7% Alicia Talavera, NMNH - talaveraa Volume=NetApp:vol_home, mounted as /home -- disk -- -- #files -- default quota: 384.0GB/10.0M Disk usage %quota usage %quota name, affiliation - username (indiv. quota) -------------------- ------- ------ ------ ------ ------------------------------------------- /home 378.6GB 98.6% 0.18M 1.8% *** Paige Byerly, NZP - byerlyp /home 375.5GB 97.8% 0.09M 0.9% *** Rebeka Tamasi Bottger, SAO/OIR - rbottger /home 363.6GB 94.7% 0.27M 2.7% Juan Uribe, NMNH - uribeje /home 347.4GB 90.5% 2.92M 29.2% Brian Bourke, WRBU - bourkeb /home 338.6GB 88.2% 0.27M 2.7% Paul Cristofari, SAO/SSP - pcristof /home 329.1GB 85.7% 0.00M 0.0% Allan Cabrero, NMNH - cabreroa Volume=GPFS:scratch_public, mounted as /scratch/public -- disk -- -- #files -- default quota: 15.00TB/39.8M Disk usage %quota usage %quota name, affiliation - username (indiv. quota) -------------------- ------- ------ ------ ------ ------------------------------------------- /scratch/public 17.20TB 114.7% 2.78M 7.0% *** Ting Wang, NMNH - wangt2 /scratch/public 14.40TB 96.0% 0.34M 0.9% *** Gabrielle Atkinson, NZCBI - atkinsonga /scratch/public 14.10TB 94.0% 0.26M 0.7% Allen G. Collins, NMNH - collinsa /scratch/public 13.60TB 90.7% 10.41M 26.1% Michael Trizna, NMNH/BOL - triznam /scratch/public 13.50TB 90.0% 2.32M 5.8% Solomon Chak, SERC - chaks /scratch/public 13.40TB 89.3% 1.68M 4.2% Juan Uribe, NMNH - uribeje /scratch/public 13.30TB 88.7% 36.21M 90.9% Alberto Coello Garrido, NMNH - coellogarridoa /scratch/public 13.20TB 88.0% 16.12M 40.4% Brian Bourke, WRBU - bourkeb /scratch/public 13.20TB 88.0% 4.20M 10.5% Kevin Mulder, NZP - mulderk /scratch/public 12.80TB 85.3% 0.10M 0.2% Susette Castañeda-Rico, NZP - castanedaricos 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 19.60TB 392.0% 0.25M 0.0% *** Carlos Arias, STRI - ariasc 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 4.73TB 94.6% - - Zelong Nie, NMNH - niez (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 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 65.5G 3.43T 1.8% | 0.0G 3.49T 0.0% | 0.00 65-03 3.49T 64.5G 3.43T 1.8% | 0.0G 3.49T 0.0% | 0.00 65-04 3.49T 65.5G 3.43T 1.8% | 0.0G 3.49T 0.0% | 0.00 65-05 3.49T 64.5G 3.43T 1.8% | 0.0G 3.49T 0.0% | 0.00 65-06 3.49T 63.5G 3.43T 1.8% | 0.0G 3.49T 0.0% | 0.00 65-07 3.49T 24.6G 3.47T 0.7% | 0.0G 3.49T 0.0% | 0.00 65-10 1.75T 62.5G 1.68T 3.5% | 0.0G 1.75T 0.0% | 0.00 65-11 1.75T 52.2G 1.69T 2.9% | 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 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 65-14 1.75T 53.2G 1.69T 3.0% | 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 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 65-17 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 65-18 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 65-19 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 65-20 1.75T 159.7G 1.59T 8.9% | 0.0G 1.75T 0.0% | 0.00 65-21 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 65-22 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 65-23 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 65-24 1.75T 52.2G 1.69T 2.9% | 0.0G 1.75T 0.0% | 0.00 65-25 1.75T 52.2G 1.69T 2.9% | 0.0G 1.75T 0.0% | 0.00 65-26 1.75T 52.2G 1.69T 2.9% | 0.0G 1.75T 0.0% | 0.00 65-27 1.75T 53.2G 1.69T 3.0% | 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 52.2G 1.69T 2.9% | 0.0G 1.75T 0.0% | 0.00 65-30 1.75T 54.3G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 75-01 5.24T 78.8G 5.16T 1.5% | 0.0G 5.24T 0.0% | 0.00 75-02 6.98T 91.1G 6.89T 1.3% | 0.0G 6.98T 0.0% | 0.00 75-03 6.98T 90.1G 6.89T 1.3% | 0.0G 6.98T 0.0% | 0.00 75-04 6.98T 90.1G 6.89T 1.3% | 0.0G 6.98T 0.0% | 0.00 75-05 6.98T 154.6G 6.83T 2.2% | 0.0G 6.98T 0.0% | 0.00 75-06 6.98T 90.1G 6.89T 1.3% | 0.0G 6.98T 0.0% | 0.00 76-01 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 76-03 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 76-04 1.75T 52.2G 1.69T 2.9% | 0.0G 1.75T 0.0% | 0.00 76-05 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 76-06 1.75T 96.3G 1.65T 5.4% | 0.0G 1.75T 0.0% | 0.00 76-07 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 76-08 1.75T 94.2G 1.65T 5.3% | 0.0G 1.75T 0.0% | 0.00 76-09 1.75T 93.2G 1.65T 5.2% | 0.0G 1.75T 0.0% | 0.00 76-10 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 76-11 1.75T 53.2G 1.69T 3.0% | 0.0G 1.75T 0.0% | 0.00 76-12 1.75T 12.3G 1.73T 0.7% | 0.0G 1.75T 0.0% | 0.00 76-13 1.75T 99.3G 1.65T 5.6% | 0.0G 1.75T 0.0% | 0.00 76-14 1.75T 55.3G 1.69T 3.1% | 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 93-06 1.64T 11.3G 1.62T 0.7% | 0.0G 1.64T 0.0% | 0.00 --------------------------------------------------------------- Total 141.8T 2.87T 139.0T 2.0% | 0.0G 141.8T 0.0% | 0.00
Note: the disk usage and the quota report are compiled 4x/day, the SSD usage is updated every 10m.