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 20m. |
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Usage
Current snapshot sorted by nodes' . Usage vs time, for length= and user= highlighted.
As of Tue May 26 22:07:06 2026: #CPUs/nodes 5612/74, 0 down.
Loads: head node: 1.30, login nodes: 4.38, 0.00, 14.87, 0.06; NSDs: 0.16, 0.00, 1.57, 3.07, 3.29; licenses: none used.
Queues status: none disabled, none need attention, none in error state.
24 users with running jobs (slots/jobs):
Current load: 1364.6, #running (slots/jobs): 1,736/899, usage: 30.9%, efficiency: 78.6%
4 users with queued jobs (jobs/tasks/slots):
figueiroh=3/53/131 jspark=158 taom=1/1/4 whiteae=5/20/80 Total number of queued jobs/tasks/slots: 167/232/373
65 users have/had running or queued jobs over the past 7 days, 85 over the past 15 days. 107 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, 26-May-2026 22:12:18 EDT with mk-webpage.pl ver. 7.3/1 (Oct 2025/SGK) in 0:59. -
Warnings
Oversubscribed Jobs
As of Tue May 26 22:07:08 EDT 2026 (8 oversubscribed jobs, showing no more than 3 per user) Total running (PEs/jobs) = 1736/899, 166 queued (jobs), showing only oversubscribed jobs (cpu% > 133% & age > 1h) for all users. jobID name user age nPEs cpu% queue node taskID 14375765 beast2_tree uribeje +4:07 8 385.6% uThM.q 65-23 14375766 beast2_tree uribeje +4:07 8 358.5% uThM.q 65-13 14375767 beast2_tree uribeje +4:07 8 384.3% uThM.q 65-02 14381137 hapcaller figueiroh +1:02 1 159.0% mThM.q 93-04 28 14381137 hapcaller figueiroh +1:02 1 152.6% mThM.q 75-07 41 14381137 hapcaller figueiroh +1:02 1 159.8% mThM.q 93-02 53 14385504 qsub_Tapeworms_ phillipsaj 07:05 1 190.6% mThC.q 93-01 14385537 qsub_Tapeworms_ phillipsaj 06:54 1 173.5% mThC.q 75-01 ⇒ Equivalent to 69.6 overused CPUs: 29 CPUs used at 340.1% on average.
Inefficient Jobs
As of Tue May 26 22:07:10 EDT 2026 (11 inefficient jobs, showing no more than 3 per user) Total running (PEs/jobs) = 1736/899, 166 queued (jobs), showing only inefficient jobs (cpu% < 33% & age > 1h) for all users. jobID name user age nPEs cpu% queue node taskID 14367884 iqtree.50p.oct2 cerqueirat +5:06 12 21.9% lThM.q 76-10 14374824 test campanam +4:11 1 0.4% lTWFM.sq 64-16 14374934 vitis_ssp_cactu niez +4:09 110 29.7% mThC.q 76-04 14375143 mitobim_loop.jo wirshingh +4:09 6 16.7% mThC.q 64-04 14378631 bwa_SeqWell zhangy +2:06 24 20.4% lThC.q 64-10 14378641 bwa_SeqWell zhangy +2:03 24 16.4% lThC.q 76-07 14381209 gzip bourkeb 16:06 8 12.3% mThM.q 93-04 14382931 bears atkinsonga 10:40 1 0.4% lTWFM.sq 64-15 14388465 earthaccess_202 ggonzale 02:07 1 8.2% lTIO.sq 64-16 14388804 L1_o3_profile jspark 01:02 1 32.2% mThC.q 76-14 14388861 L1_o3_profile jspark 01:00 1 32.9% mThC.q 76-14 ⇒ Equivalent to 142.1 underused CPUs: 189 CPUs used at 24.8% on average.
Nodes with Excess Load
As of Tue May 26 22:07:15 EDT 2026 (6 nodes have a high load, offset=1.5) #slots excess node #CPUs used load load ----------------------------------- 64-08 40 6 8.8 2.8 * 65-02 64 8 30.0 22.0 * 65-13 64 8 31.2 23.2 * 65-23 64 8 27.5 19.5 * 76-03 192 33 45.9 12.9 * 93-01 64 14 16.1 2.1 * Total excess load = 82.6
High Memory Jobs
Statistics
User nSlots memory memory vmem maxvmem ratio Name used reserved used used used [TB] resd/maxvm -------------------------------------------------------------------------------------------------- uribeje 168 65.4% 4.2656 71.2% 1.0318 91.5% 1.1668 1.2515 3.4 bourkeb 16 6.2% 0.5000 8.3% 0.0171 1.5% 0.1770 0.1777 2.8 zhangy 28 10.9% 0.4375 7.3% 0.0203 1.8% 0.1119 0.4564 1.0 nevesk 20 7.8% 0.3906 6.5% 0.0009 0.1% 0.1575 0.1595 2.4 cabreroa 10 3.9% 0.2930 4.9% 0.0182 1.6% 0.0284 0.0365 8.0 cerqueirat 12 4.7% 0.0586 1.0% 0.0257 2.3% 0.0260 0.0260 2.3 figueiroh 3 1.2% 0.0469 0.8% 0.0130 1.2% 0.0131 0.0140 3.4 ================================================================================================== Total 257 5.9922 1.1271 1.6806 2.1216 2.8
Warnings
19 high memory jobs produced a warning:
2 for bourkeb 1 for cabreroa 1 for cerqueirat 3 for figueiroh 1 for nevesk 9 for uribeje 2 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=0 mThC.q=1081 lThC.q=374 uThC.q=0 1455 5056 28.8% 93.2% sThM.q=0 mThM.q=19 lThM.q=190 uThM.q=48 257 4680 5.5% 490.4% sTgpu.q=0 mTgpu.q=12 lTgpu.q=4 qgpu.iq=1 17 104 16.3% 41.9% uTxlM.rq=0 0 536 0.0% lThMuVM.tq=0 0 384 0.0% lTb2g.q=0 0 2 0.0% lTIO.sq=1 1 8 12.5% 1.7% lTWFM.sq=2 2 4 50.0% 0.4% qrsh.iq=3 3 68 4.4% 4.8% Total: 1735
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Avail Slots/Wait Job(s)
Available Slots
As of Tue May 26 22:07:10 EDT 2026 3599 avail(slots), free(load)=5102.6, unresd(mem)=27163.3G, for hgrp=@hicpu-hosts and minMem=1.0G/slot total(nCPU) 5312 total(mem) 41.3T unused(slots) 3599 unused(load) 5293.6 ie: 67.8% 99.7% unreserved(mem) 27.7T unused(mem) 38.4T ie: 67.1% 93.0% unreserved(mem) 7.9G unused(mem) 10.9G per unused(slots)
3266 avail(slots), free(load)=4625.7, unresd(mem)=27385.1G, for hgrp=@himem-hosts and minMem=1.0G/slot total(nCPU) 4832 total(mem) 40.7T unused(slots) 3266 unused(load) 4816.7 ie: 67.6% 99.7% unreserved(mem) 27.9T unused(mem) 38.1T ie: 68.6% 93.6% unreserved(mem) 8.8G unused(mem) 11.9G per unused(slots)
536 avail(slots), free(load)=536.0, unresd(mem)=8063.0G, for hgrp=@xlmem-hosts and minMem=1.0G/slot total(nCPU) 536 total(mem) 7.9T unused(slots) 536 unused(load) 536.0 ie: 100.0% 100.0% unreserved(mem) 7.9T unused(mem) 7.8T ie: 100.0% 99.4% unreserved(mem) 15.0G unused(mem) 14.9G per unused(slots)
87 avail(slots), free(load)=103.9, unresd(mem)=744.2G, for hgrp=@gpu-hosts and minMem=1.0G/slot total(nCPU) 104 total(mem) 0.7T unused(slots) 87 unused(load) 103.9 ie: 83.7% 99.9% unreserved(mem) 0.7T unused(mem) 0.3T ie: 98.6% 47.0% unreserved(mem) 8.6G unused(mem) 4.1G per unused(slots)
GPU Usage
Tue May 26 22:07:22 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 - 503.3 370.6 132.7 - 4/4 - 64 16 6.9 - 48 57.1 compute-79-01 - 125.5 18.1 107.4 - 2/1 - 20 1 0.1 - 19 19.9 compute-79-02 - 125.5 10.5 115.0 - 2/0 - 20 0 0.1 - 20 19.9 Total GPU=8, used=5 (62.5%)
Waiting Job(s)
As of Tue May 26 22:07:13 EDT 2026 3 jobs waiting for figueiroh: jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 14381138 make_sample_map figueiroh +1:02 1 1.0 sThC.q 14381139 genomicsdb figueiroh +1:02 4 32.0 mThC.q 1-26:1 14381140 genotype_gvcfs figueiroh +1:02 1 16.0 mThM.q 1-26:1 quota rule resource=value/limit %used ------------------- ------------------------------- ------ max_mem_res_per_user/2 mem_res=48.00G/8.944T 0.5% for figueiroh in queue uThM.q max_hM_slots_per_user/2 slots=3/585 0.5% for figueiroh in queue mThM.q max_slots_per_user/1 slots=3/840 0.4% for figueiroh ------------------- ------------------------------- ------ 157 jobs waiting for jspark (top 5): jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 14389482 L1_o3_profile jspark 00:38 1 8.0 mThC.q 14389483 L1_o3_profile jspark 00:38 1 8.0 mThC.q 14389484 L1_o3_profile jspark 00:38 1 8.0 mThC.q 14389485 L1_o3_profile jspark 00:38 1 8.0 mThC.q 14389486 L1_o3_profile jspark 00:38 1 8.0 mThC.q quota rule resource=value/limit %used ------------------- ------------------------------- ------ max_hC_slots_per_user/2 slots=640/640 100.0% for jspark in queue mThC.q max_slots_per_user/1 slots=640/840 76.2% for jspark max_mem_res_per_user/1 mem_res=5.000T/9.985T 50.1% for jspark in queue uThC.q ------------------- ------------------------------- ------ 1 job waiting for taom: jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 14389645 tr_conus_v2 taom 00:05 4 mTgpu.q none running. 5 jobs waiting for whiteae: jobID jobName user age nPEs memReqd queue taskID --------- --------------- ---------------- ------ ---- -------- ------ ------- 14389514 chandra_vllm whiteae 00:37 4 1-4:1 14389515 chandra_vllm whiteae 00:37 4 1-4:1 14389516 chandra_vllm whiteae 00:37 4 1-4:1 14389517 chandra_vllm whiteae 00:37 4 1-4:1 14389519 chandra_vllm whiteae 00:37 4 1-4:1 quota rule resource=value/limit %used ------------------- ------------------------------- ------ total_gpus_per_user/1 GPUS=4/4 100.0% for whiteae in queue qgpu.iq max_gpus_per_user/2 GPUS=3/3 100.0% for whiteae in queue mTgpu.q max_gpus_per_user/3 GPUS=1/2 50.0% for whiteae in queue lTgpu.q max_slots_per_user/1 slots=16/840 1.9% for whiteae ------------------- ------------------------------- ------
Overall Quota Usage
quota rule resource=value/limit %used ------------------- ------------------------------- ------ total_gpus/1 GPUS=3/8 37.5% for * in queue mTgpu.q total_slots/1 slots=1737/5960 29.1% for * blast2GO/1 slots=26/110 23.6% for * total_mem_res/1 mem_res=7.608T/39.94T 19.0% for * in queue uThC.q total_mem_res/2 mem_res=5.992T/35.78T 16.7% for * in queue uThM.q total_gpus/1 GPUS=1/8 12.5% for * in queue qgpu.iq total_gpus/1 GPUS=1/8 12.5% for * in queue lTgpu.q
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Memory Usage
Reserved Memory, All High-Memory Queues
Select length:
Current Memory Quota Usage
As of Tue May 26 22:07:15 EDT 2026 quota rule resource=value/limit %used filter --------------------------------------------------------------------------------------------------- total_mem_res/1 mem_res=7.608T/39.94T 19.0% for * in queue uThC.q total_mem_res/2 mem_res=5.992T/35.78T 16.7% 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 30.6 256.2 - 472.9 247.3 - 32 16 11.4 - 16 20.6 compute-64-18 - 503.5 48.6 428.2 - 454.9 75.3 - 32 18 16.3 - 14 15.7 compute-65-02 - 503.5 21.2 128.0 - 482.3 375.5 - 64 8 30.0 - 56 34.0 compute-65-03 - 503.5 11.7 64.0 - 491.8 439.5 - 64 16 16.0 - 48 48.0 compute-65-04 - 503.5 31.2 95.0 - 472.3 408.5 - 64 14 14.1 - 50 49.9 compute-65-05 - 503.5 33.1 97.0 - 470.4 406.5 - 64 14 14.3 - 50 49.7 compute-65-06 - 503.5 34.6 105.0 - 468.9 398.5 - 64 15 14.3 - 49 49.7 compute-65-07 - 503.5 34.9 100.0 - 468.6 403.5 - 64 15 14.8 - 49 49.2 compute-65-09 - 503.5 34.1 100.0 - 469.4 403.5 - 64 15 14.4 - 49 49.6 compute-65-10 - 503.5 34.4 105.0 - 469.1 398.5 - 64 15 14.9 - 49 49.1 compute-65-11 - 503.5 34.7 105.0 - 468.8 398.5 - 64 15 14.2 - 49 49.9 compute-65-12 - 503.5 32.8 95.0 - 470.7 408.5 - 64 15 14.4 - 49 49.6 compute-65-13 - 503.5 21.1 128.0 - 482.4 375.5 - 64 8 31.2 - 56 32.8 compute-65-14 - 503.5 16.9 9.0 - 486.6 494.5 - 64 63 63.1 - 1 0.9 compute-65-15 - 503.5 36.0 120.0 - 467.5 383.5 - 64 15 15.1 - 49 49.0 compute-65-16 - 503.5 30.8 113.0 - 472.7 390.5 - 64 16 15.0 - 48 49.0 compute-65-17 - 503.5 31.8 87.0 - 471.7 416.5 - 64 14 13.8 - 50 50.2 compute-65-18 - 503.5 18.1 9.0 - 485.4 494.5 - 64 64 64.0 - 0 -0.0 compute-65-19 - 503.5 33.7 105.0 - 469.8 398.5 - 64 15 14.8 - 49 49.2 compute-65-20 - 503.5 37.7 116.0 - 465.8 387.5 - 64 15 15.0 - 49 49.0 compute-65-21 - 503.5 32.4 100.0 - 471.1 403.5 - 64 15 14.4 - 49 49.6 compute-65-22 - 503.5 34.3 105.0 - 469.2 398.5 - 64 15 14.8 - 49 49.2 compute-65-23 - 503.5 21.4 128.0 - 482.1 375.5 - 64 8 28.6 - 56 35.4 compute-65-24 - 503.5 34.3 112.0 - 469.2 391.5 - 64 14 14.0 - 50 50.0 compute-65-25 - 503.5 33.8 105.0 - 469.7 398.5 - 64 15 14.8 - 49 49.2 compute-65-26 - 503.5 35.3 105.0 - 468.2 398.5 - 64 15 14.4 - 49 49.6 compute-65-27 - 503.5 31.8 87.0 - 471.7 416.5 - 64 14 14.3 - 50 49.7 compute-65-28 - 503.5 32.2 95.0 - 471.3 408.5 - 64 15 15.0 - 49 49.0 compute-65-29 - 503.5 33.3 105.0 - 470.2 398.5 - 64 15 14.1 - 49 49.9 compute-65-30 - 503.5 35.2 105.0 - 468.3 398.5 - 64 15 15.0 - 49 49.0 compute-75-01 - 1007.5 54.5 204.1 - 953.0 803.4 - 128 28 29.4 - 100 98.5 compute-75-02 - 1007.5 58.4 217.0 - 949.1 790.5 - 128 29 29.1 - 99 98.9 compute-75-03 - 755.5 22.4 50.0 - 733.1 705.5 - 128 128 6.2 - 0 121.8 compute-75-04 - 755.5 77.5 456.0 - 678.0 299.5 - 128 27 28.1 - 101 99.9 compute-75-05 - 755.5 72.5 476.0 - 683.0 279.5 - 128 38 36.6 - 90 91.4 compute-75-06 - 755.5 56.8 236.0 - 698.7 519.5 - 128 32 30.3 - 96 97.7 compute-75-07 - 755.5 51.6 365.0 - 703.9 390.5 - 128 37 28.2 - 91 99.8 compute-76-03 - 1007.4 58.1 229.5 - 949.3 777.9 - 128 33 30.6 - 95 97.4 compute-76-04 - 1007.4 14.2 800.0 - 993.2 207.4 - 128 110 33.5 - 18 94.5 compute-76-05 - 1007.4 84.3 766.0 - 923.1 241.4 - 128 47 36.6 - 81 91.4 compute-76-06 - 1007.4 72.8 409.0 - 934.6 598.4 - 128 42 34.5 - 86 93.5 compute-76-07 - 1007.4 156.1 890.0 - 851.3 117.4 - 128 60 31.5 - 68 96.5 compute-76-08 - 1007.4 114.1 742.0 - 893.3 265.4 - 128 44 33.5 - 84 94.5 compute-76-09 - 1007.4 55.0 177.0 - 952.4 830.4 - 128 29 29.1 - 99 98.9 compute-76-10 - 1007.4 158.6 790.0 - 848.8 217.4 - 128 59 29.3 - 69 98.7 compute-76-11 - 1007.4 43.7 205.0 - 963.7 802.4 - 128 81 40.6 - 47 87.3 compute-76-12 - 1007.4 202.7 800.0 - 804.7 207.4 - 128 45 35.2 - 83 92.8 compute-76-13 - 1007.4 126.1 686.0 - 881.3 321.4 - 128 37 29.1 - 91 98.8 compute-76-14 - 1007.4 56.7 192.0 - 950.7 815.4 - 128 29 28.9 - 99 99.0 compute-84-01 - 881.1 55.6 193.0 - 825.5 688.1 - 112 26 27.0 - 86 85.0 compute-93-01 - 503.8 31.0 97.0 - 472.8 406.8 - 64 14 16.1 - 50 47.9 compute-93-02 - 755.6 36.6 118.0 - 719.0 637.6 - 72 15 16.2 - 57 55.8 compute-93-03 - 755.6 28.9 200.0 - 726.7 555.6 - 72 25 24.7 - 47 47.3 compute-93-04 - 755.6 35.7 374.0 - 719.9 381.6 - 72 23 17.3 - 49 54.7 compute-93-05 - 2016.3 11.7 0.0 - 2004.6 2016.3 - 96 0 0.1 - 96 95.9 compute-93-06 - 3023.9 11.8 0.0 - 3012.1 3023.9 - 56 0 0.3 - 56 55.7 ======= ===== ====== ==== ==== ===== Totals 41678.2 2679.4 13085.1 4832 1565 1262.6 ==> 6.4% 31.4% ==> 32.4% 26.1% Most unreserved/unused memory (3023.9/3012.1GB) is on compute-93-06 with 56/55.7 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 13.0 -0.0 - 1498.4 1511.4 - 192 0 0.0 - 192 192.0 compute-76-02 - 1511.4 14.0 -0.0 - 1497.4 1511.4 - 192 0 0.0 - 192 192.0 compute-93-05 - 2016.3 11.7 0.0 - 2004.6 2016.3 - 96 0 0.1 - 96 95.9 compute-93-06 - 3023.9 11.8 0.0 - 3012.1 3023.9 - 56 0 0.3 - 56 55.7 ======= ===== ====== ==== ==== ===== Totals 8063.0 50.5 0.0 536 0 0.4 ==> 0.6% 0.0% ==> 0.0% 0.1% Most unreserved/unused memory (3023.9/3012.1GB) is on compute-93-06 with 56/55.7 slots/CPUs free/unused.
Past Memory Usage vs Memory Reservation
Past memory use in hi-mem queues between 05/13/26 and 05/20/26 queues: ?ThM.q ----------- total --------- -------------------- mean -------------------- user no. of elapsed time eff. reserved maxvmem average ratio name jobs/slots [d] [%] [GB] [GB] [GB] resd/maxvmem --------------- -------------- ------------ ----- --------- -------- --------- ------------ beckerm 1/20 0.00 2.3 200.0 0.0 0.0 0.0 ramosi 2/20 0.00 3.1 8.0 0.0 0.0 0.0 palmerem 3/3 0.00 140.7 300.0 43.9 15.0 6.8 > 2.5 pappalardop 12/12 0.00 93.5 250.0 0.7 0.5 336.2 > 2.5 niez 2/32 0.00 37.3 128.0 7.3 5.4 17.7 > 2.5 zhangy 4/48 0.02 88.3 240.0 207.9 3.9 1.2 capadorhd 3/12 0.03 25.4 64.0 0.1 0.0 620.4 > 2.5 atkinsonga 3/6 0.03 67.7 61.9 71.6 37.4 0.9 xuj 1/1 0.07 97.2 150.0 46.1 18.5 3.3 > 2.5 mghahrem 5/30 0.13 61.2 0.0 14.3 13.9 0.0 kistlerl 32/32 0.13 99.7 96.0 12.9 5.0 7.5 > 2.5 johnsonsj 148/296 0.13 90.4 40.0 4.3 1.5 9.2 > 2.5 morrisseyd 1/24 0.19 23.2 192.0 119.1 3.5 1.6 cerqueirat 10/204 0.22 43.5 298.3 61.2 15.1 4.9 > 2.5 vagac 6/110 0.41 45.5 448.1 49.0 0.4 9.2 > 2.5 santosbe 2/60 0.52 13.9 300.0 223.0 221.3 1.3 bourkeb 173/1464 0.70 12.5 465.7 1.3 0.9 358.1 > 2.5 collinsa 496/4016 1.23 20.9 102.0 32.6 1.3 3.1 > 2.5 jhora 26/722 1.28 69.1 249.8 903.2 19.1 0.3 uribeje 40/377 1.45 61.2 337.0 18.5 7.6 18.2 > 2.5 nevesk 14/745 2.74 96.6 156.1 57.2 14.2 2.7 > 2.5 szieba 24/1368 3.16 25.3 0.0 931.3 46.0 0.0 campanam 360/3077 4.17 96.5 32.1 12.0 3.2 2.7 > 2.5 longk 5/67 4.19 44.9 570.6 131.1 9.1 4.4 > 2.5 macguigand 899/3292 5.25 33.0 82.0 16.6 2.5 4.9 > 2.5 quattrinia 3342/3437 5.94 93.2 54.4 10.5 1.3 5.2 > 2.5 mancusij 10/64 6.87 338.6 20.0 139.4 3.5 0.1 girardmg 1897/4335 10.08 26.5 69.7 18.8 3.2 3.7 > 2.5 nelsonjo 8888/8888 35.91 96.5 16.0 3.1 1.6 5.2 > 2.5 --------------- -------------- ------------ ----- --------- -------- --------- ------------ all 16409/32762 84.86 94.5 80.8 76.8 6.3 1.1 --- 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 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 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 slots/user for interactive (qrsh) queues users {*} queues {qrsh.iq} to slots=16 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 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 {*} 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 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 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 26 17:06:02 EDT 2026
Disk Usage
Filesystem Size Used Avail Capacity Mounted on netapp-fas83:/vol_home 22.36T 19.95T 2.41T 90%/13% /home netapp-fas83-n01:/vol_data_public 332.50T 118.70T 213.80T 36%/2% /data/public gpfs02:public 800.00T 573.25T 226.75T 72%/35% /scratch/public gpfs02:nmnh_bradys 25.00T 19.83T 5.17T 80%/59% /scratch/bradys gpfs02:nmnh_kistlerl 120.00T 88.86T 31.14T 75%/14% /scratch/kistlerl gpfs02:nmnh_meyerc 25.00T 21.16T 3.84T 85%/8% /scratch/meyerc gpfs02:nmnh_corals 60.00T 57.04T 2.96T 96%/24% /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 28.90T 6.10T 83%/39% /scratch/nmnh_mammals gpfs02:nmnh_mdbc 60.00T 49.53T 10.47T 83%/26% /scratch/nmnh_mdbc gpfs02:nmnh_ocean_dna 90.00T 65.59T 24.41T 73%/4% /scratch/nmnh_ocean_dna gpfs02:nzp_ccg 145.00T 24.37T 120.63T 17%/12% /scratch/nzp_ccg gpfs01:ocio_dpo 10.00T 6.30T 3.70T 64%/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 262.46T 87.54T 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 141.06T 58.94T 71%/8% /scratch/scbi_gis gpfs02:nmnh_schultzt 35.00T 24.81T 10.19T 71%/75% /scratch/schultzt gpfs02:serc_cdelab 35.00T 8.81T 26.19T 26%/5% /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 20.77T 4.23T 84%/36% /scratch/usda_sel gpfs02:wrbu 50.00T 44.43T 5.57T 89%/14% /scratch/wrbu nas1:/mnt/pool/public 175.00T 107.02T 67.98T 62%/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 32.22T 37.78T 47%/1% /store/nmnh_ocean_dna nas1:/mnt/pool/nzp_ccg 262.38T 127.30T 135.08T 49%/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 11.97T 8.03T 60%/1% /store/ocio_dpo nas2:/mnt/pool/n1p1/sao_atmos 750.00T 442.79T 307.21T 60%/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 14.20TB 94.7% 0.30M 0.8% Allen G. Collins, NMNH - collinsa /scratch/public 13.70TB 91.3% 1.69M 4.2% Juan Uribe, NMNH - uribeje /scratch/public 13.70TB 91.3% 21.82M 54.8% Zelong Nie, NMNH - niez /scratch/public 13.70TB 91.3% 14.41M 36.2% Brian Bourke, WRBU - bourkeb /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% 0.69M 1.7% Joseph Hora, SAO/OIR - jhora /scratch/public 13.30TB 88.7% 36.25M 91.0% Alberto Coello Garrido, NMNH - coellogarridoa /scratch/public 13.20TB 88.0% 4.20M 10.5% 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 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 64-18 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 12.3G 1.73T 0.7% | 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 75-03 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 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 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 55.3G 1.69T 3.1% | 199.7G 1.55T 11.2% | 3.61 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 133.1T 2.59T 130.5T 1.9% | 199.7G 132.9T 0.1% | 0.08
Note: the disk usage and the quota report are compiled 4x/day, the SSD usage is updated every 10m.