TTIC SLURM Cluster: Process Statistics
Sat Jun 25 17:16:11 CDT 2022 [Docs] | [Job Process Info] | [Job Queue] | [Cluster Usage & Load]

Node User Command CPU % MEM % MEM (kb)
cpu1 NCPU: 64 load average: 0.06, 0.03, 0.05
cpu2 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu3 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu4 NCPU: 8 load average: 0.06, 0.04, 0.05
cpu5 NCPU: 8 load average: 0.05, 0.03, 0.05
cpu6 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu7 NCPU: 8 load average: 0.03, 0.03, 0.05
cpu8 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu9 NCPU: 8 load average: 0.00, 0.03, 0.05
cpu10 NCPU: 12 load average: 0.08, 0.06, 0.06
cpu11 NCPU: 12 load average: 0.00, 0.01, 0.05
cpu12 NCPU: 12 load average: 0.00, 0.01, 0.05
cpu13 NCPU: 12 load average: 0.00, 0.01, 0.05
cpu14 NCPU: 12 load average: 0.00, 0.01, 0.05
cpu15 NCPU: 12 load average: 0.00, 0.01, 0.05
cpu16 NCPU: 12 load average: 0.00, 0.01, 0.05
cpu17 NCPU: 12 load average: 0.00, 0.01, 0.05
cpu18 NCPU: 20 load average: 0.07, 0.07, 0.06
cpu19 NCPU: 8 load average: 0.05, 0.03, 0.05
cpu20 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu21 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu22 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu23 NCPU: 64 load average: 0.00, 0.01, 0.05
gpu1 NCPU: 20 load average: 9.97, 10.32, 10.18
blai colabfold_batch 123 1.6 4308916
blai colabfold_batch 106 2.0 5422716
blai colabfold_batch 105 1.7 4513108
blai colabfold_batch 104 1.7 4612000
blai colabfold_batch 104 1.8 4967664
blai colabfold_batch 103 1.8 4834976
blai colabfold_batch 103 1.6 4462668
blai colabfold_batch 102 1.8 4979584
blai colabfold_batch 101 1.9 5066780
blai colabfold_batch 93.8 0.8 2118564
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
gpu2 NCPU: 16 load average: 4.06, 3.91, 3.97
blai colabfold_batch 111 1.2 3268652
blai colabfold_batch 103 1.3 3616796
blai colabfold_batch 102 1.3 3547764
omar python 100 0.9 2525556
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
omar slurm_script 0.0 0.0 1396
omar bash 0.0 0.0 1540
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1460
gpu3 NCPU: 28 load average: 3.75, 3.83, 3.59
blai colabfold_batch 113 1.7 4711488
blai colabfold_batch 109 2.0 5329288
blai colabfold_batch 107 1.8 4874420
blai colabfold_batch 105 1.8 4782900
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1460
gpu4 NCPU: 20 load average: 1.04, 1.09, 0.92
blai colabfold_batch 110 2.2 4442992
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1452
gpu5 NCPU: 48 load average: 0.06, 0.10, 0.22
sudarshan python3 0.8 0.2 2291752
sudarshan python3 0.5 0.1 1814180
sudarshan python3 0.5 0.1 1814184
sudarshan python3 0.5 0.1 1814184
sudarshan python3 0.5 0.1 1814192
sudarshan python3 0.5 0.1 1814196
sudarshan python3 0.5 0.1 1814196
sudarshan python3 0.5 0.1 1814196
sudarshan python3 0.5 0.1 1814196
sudarshan python3 0.5 0.1 1814196
sudarshan python3 0.5 0.1 1814192
sudarshan python3 0.5 0.1 1814196
sudarshan python3 0.5 0.1 1814200
sudarshan python3 0.5 0.1 1814204
sudarshan python3 0.5 0.1 1814204
sudarshan python3 0.5 0.1 1814200
sudarshan python3 0.5 0.1 1814200
sudarshan python3 0.5 0.1 1814208
sudarshan python3 0.5 0.1 1814224
sudarshan python3 0.5 0.1 1814232
sudarshan python3 0.4 0.1 1814176
sudarshan python3 0.4 0.1 1814164
sudarshan python3 0.4 0.1 1814176
sudarshan python3 0.4 0.1 1814164
sudarshan python3 0.4 0.1 1814172
sudarshan python3 0.4 0.1 1814184
sudarshan python3 0.4 0.1 1814184
sudarshan python3 0.4 0.1 1814188
sudarshan python3 0.4 0.1 1814188
sudarshan python3 0.4 0.1 1814188
sudarshan python3 0.4 0.1 1814192
sudarshan python3 0.4 0.1 1814196
sudarshan python3 0.4 0.1 1814192
sudarshan python3 0.4 0.1 1814192
sudarshan python3 0.4 0.1 1814196
sudarshan python3 0.4 0.1 1814196
sudarshan python3 0.4 0.1 1814196
sudarshan python3 0.4 0.1 1814196
sudarshan python3 0.4 0.1 1814196
sudarshan python3 0.4 0.1 1814204
sudarshan python3 0.4 0.1 1814224
sudarshan python3 0.4 0.1 1814224
sudarshan python3 0.4 0.1 1814224
sudarshan python3 0.4 0.1 1814228
sudarshan python3 0.4 0.1 1814228
sudarshan python3 0.4 0.1 1814228
sudarshan python3 0.4 0.1 1814232
sudarshan python3 0.4 0.1 1814232
sudarshan python3 0.4 0.1 1814236
sudarshan python3 0.3 0.1 1912300
sudarshan python3 0.2 0.1 1905808
sudarshan bash 0.0 0.0 2408
sudarshan tee 0.0 0.0 672
sudarshan python3 0.0 0.1 1800380
sudarshan python3 0.0 0.1 1800384
sudarshan python3 0.0 0.1 1800384
sudarshan python3 0.0 0.1 1800388
sudarshan python3 0.0 0.1 1800392
sudarshan python3 0.0 0.1 1800388
sudarshan python3 0.0 0.1 1800396
sudarshan python3 0.0 0.1 1800396
sudarshan python3 0.0 0.1 1800396
sudarshan python3 0.0 0.1 1800396
sudarshan python3 0.0 0.1 1800400
sudarshan python3 0.0 0.1 1800396
sudarshan python3 0.0 0.1 1800400
sudarshan python3 0.0 0.1 1800400
sudarshan python3 0.0 0.1 1800400
sudarshan python3 0.0 0.1 1800404
sudarshan python3 0.0 0.1 1800408
sudarshan python3 0.0 0.1 1800408
sudarshan python3 0.0 0.1 1800412
sudarshan python3 0.0 0.1 1800412
sudarshan python3 0.0 0.1 1800412
sudarshan python3 0.0 0.1 1800412
sudarshan python3 0.0 0.1 1800412
sudarshan python3 0.0 0.1 1800412
sudarshan python3 0.0 0.1 1800408
sudarshan python3 0.0 0.1 1800432
sudarshan python3 0.0 0.1 1800432
sudarshan python3 0.0 0.1 1800432
sudarshan python3 0.0 0.1 1800432
sudarshan python3 0.0 0.1 1800436
sudarshan python3 0.0 0.1 1800444
sudarshan python3 0.0 0.1 1800440
sudarshan python3 0.0 0.1 1800444
sudarshan python3 0.0 0.1 1800448
sudarshan python3 0.0 0.1 1800452
sudarshan python3 0.0 0.1 1800452
sudarshan python3 0.0 0.1 1800448
sudarshan python3 0.0 0.1 1800448
sudarshan python3 0.0 0.1 1800452
sudarshan python3 0.0 0.1 1800448
sudarshan python3 0.0 0.1 1800452
sudarshan python3 0.0 0.1 1800452
sudarshan python3 0.0 0.1 1800452
sudarshan python3 0.0 0.1 1800456
sudarshan python3 0.0 0.1 1800456
sudarshan python3 0.0 0.1 1800456
sudarshan python3 0.0 0.1 1800460
sudarshan python3 0.0 0.1 1800456
gpu6 NCPU: 20 load average: 0.03, 0.02, 0.05
jiahao bash 0.0 0.0 1140
jiahao bash 0.0 0.0 1428
gpu10 NCPU: 6 load average: 0.03, 0.03, 0.05
gpu11 NCPU: 20 load average: 0.06, 0.06, 0.05
gpu12 NCPU: 16 load average: 0.05, 0.03, 0.05
gpu13 NCPU: 16 load average: 3.65, 3.72, 3.80
blai colabfold_batch 107 1.2 3366596
blai colabfold_batch 104 1.4 3744748
blai colabfold_batch 103 1.4 3826164
blai colabfold_batch 94.1 0.6 1732476
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
gpu14 NCPU: 16 load average: 3.85, 3.87, 3.81
blai colabfold_batch 108 1.6 4420440
blai colabfold_batch 105 1.6 4284664
blai colabfold_batch 105 1.6 4454536
blai colabfold_batch 102 1.6 4475900
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1460
gpu15 NCPU: 16 load average: 3.64, 3.71, 3.75
blai colabfold_batch 105 1.4 3724860
blai colabfold_batch 104 1.4 3787120
blai colabfold_batch 103 1.6 4344120
blai colabfold_batch 61.0 0.0 122160
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1452
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
gpu16 NCPU: 16 load average: 3.47, 3.58, 3.71
blai colabfold_batch 116 2.4 6389420
blai colabfold_batch 109 2.3 6294116
blai colabfold_batch 107 2.5 6648208
blai colabfold_batch 102 2.6 6982252
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
gpu17 NCPU: 16 load average: 3.79, 4.04, 4.02
blai colabfold_batch 125 1.3 3581884
blai colabfold_batch 109 1.5 4123444
blai colabfold_batch 104 1.5 4165088
omar python 100 1.1 3020424
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
omar slurm_script 0.0 0.0 1396
omar bash 0.0 0.0 1540
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1456
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
gpu19 NCPU: 8 load average: 0.00, 0.01, 0.05
xdu bash 0.0 0.0 2336
gpu20 NCPU: 4 load average: 0.00, 0.01, 0.05
gpu21 NCPU: 4 load average: 0.11, 0.06, 0.06
gpu22 NCPU: 4 load average: 0.00, 0.01, 0.05
gpu23 NCPU: 4 load average: 0.00, 0.03, 0.05
jiahao bash 0.0 0.0 2516
jiahao jupyter-noteboo 0.0 0.0 61176
jiahao bash 0.0 0.0 4548
jiahao bash 0.0 0.0 2580
gpu24 NCPU: 8 load average: 0.00, 0.01, 0.05
gpu25 NCPU: 4 load average: 0.07, 0.05, 0.05
savarese bash 0.0 0.0 2396
gpu27 NCPU: 16 load average: 0.01, 0.03, 0.05
gpu28 NCPU: 20 load average: 0.03, 0.03, 0.05
jiahao bash 0.0 0.0 884
gpu29 NCPU: 20 load average: 0.00, 0.01, 0.05
gpu30 NCPU: 20 load average: 0.00, 0.01, 0.05
gpu31 NCPU: 24 load average: 0.03, 0.04, 0.05
gpu32 NCPU: 24 load average: 0.00, 0.01, 0.05
gpu33 NCPU: 20 load average: 0.00, 0.03, 0.05
gpu34 NCPU: 8 load average: 0.00, 0.01, 0.05
gpu35 NCPU: 16 load average: 0.04, 0.03, 0.31
gpu36 NCPU: 20 load average: 1.82, 1.91, 2.35
blai colabfold_batch 105 2.1 4312356
blai colabfold_batch 105 2.2 4459804
blai slurm_script 0.0 0.0 1560
blai colabfold_batch 0.0 0.0 1460
blai slurm_script 0.0 0.0 1556
blai colabfold_batch 0.0 0.0 1460
gpu37 NCPU: 20 load average: 0.00, 0.01, 0.33
gpu38 NCPU: 20 load average: 0.00, 0.01, 0.05
gpu39 NCPU: 8 load average: 0.00, 0.01, 0.05
gpu40 NCPU: 8 load average: 0.00, 0.01, 0.05

TTIC SLURM Cluster: GPU Statistics
Sat Jun 25 17:16:11 CDT 2022

Node Fan SpeedTemp Perf State PowerMax MemoryMax GPU Usage User
gpu185%70CP2138W140W3937MiB16117MiB100%blai
gpu185%71CP2139W140W4323MiB16117MiB100%blai
gpu185%67CP2138W140W3169MiB16117MiB100%blai
gpu185%65CP2130W140W2657MiB16117MiB100%blai
gpu185%68CP2138W140W2785MiB16117MiB100%blai
gpu185%66CP2139W140W2657MiB16117MiB100%blai
gpu185%70CP2134W140W3041MiB16117MiB100%blai
gpu185%61CP252W140W2657MiB16117MiB56%blai
gpu185%68CP2138W140W2657MiB16117MiB93%blai
gpu185%44CP237W140W2364MiB16117MiB0%blai
gpu285%75CP2201W250W3064MiB11178MiB100%blai
gpu285%68CP268W250W2680MiB11178MiB0%blai
gpu285%77CP295W250W2424MiB11178MiB28%blai
gpu285%50CP263W250W644MiB11178MiB6%omar
gpu383CP2242W250W6384MiB11019MiB100%Defaultblai
gpu385%72CP2223W250W4334MiB11019MiB100%blai
gpu373%70CP2235W250W3440MiB11019MiB100%blai
gpu385%70CP2231W250W3568MiB11019MiB100%blai
gpu485%75CP2139W140W2656MiB16117MiB100%blai
gpu485%33CP816W140W19MiB16117MiB0%
gpu485%29CP816W140W19MiB16117MiB0%
gpu485%28CP817W140W27MiB16117MiB0%
gpu585%33CP830W300W2336MiB48685MiB0%sudarshan
gpu585%31CP828W300W19MiB48685MiB0%
gpu585%32CP829W300W19MiB48685MiB0%
gpu585%28CP832W300W19MiB48685MiB0%
gpu585%30CP823W300W19MiB48685MiB0%
gpu585%28CP830W300W19MiB48685MiB0%
gpu585%30CP822W300W19MiB48685MiB0%
gpu585%28CP828W300W28MiB48685MiB0%
gpu685%33CP819W300W19MiB48685MiB0%
gpu685%30CP819W300W19MiB48685MiB0%
gpu685%33CP819W300W19MiB48685MiB0%
gpu685%32CP822W300W19MiB48685MiB0%
gpu685%29CP820W300W19MiB48685MiB0%
gpu685%33CP822W300W19MiB48685MiB0%
gpu685%31CP819W300W19MiB48685MiB0%
gpu685%33CP818W300W28MiB48685MiB0%
gpu1085%35CP820W250W11MiB12195MiB0%
gpu1085%32CP813W250W11MiB12196MiB0%
gpu1185%31CP88W250W10MiB11019MiB0%
gpu1185%31CP81W250W10MiB11019MiB0%
gpu1185%30CP87W250W10MiB11019MiB0%
gpu1185%29CP82W250W10MiB11019MiB0%
gpu1285%28CP816W140W19MiB16117MiB0%
gpu1285%27CP86W140W19MiB16117MiB0%
gpu1285%27CP88W140W19MiB16117MiB0%
gpu1285%27CP811W140W27MiB16117MiB0%
gpu1384CP2200W250W3438MiB11019MiB100%Defaultblai
gpu1385%47CP828W250W2342MiB11019MiB0%blai
gpu1385%70CP2234W250W2798MiB11019MiB100%blai
gpu1385%70CP2247W250W2542MiB11019MiB85%blai
gpu1485%68CP2138W140W2656MiB16117MiB100%blai
gpu1485%73CP2138W140W2786MiB16117MiB100%blai
gpu1485%65CP243W140W5344MiB16117MiB0%blai
gpu1485%75CP2139W140W3433MiB16117MiB100%blai
gpu1571CP2163W250W2544MiB11019MiB100%Defaultblai
gpu1585%77CP2262W250W4334MiB11019MiB100%blai
gpu1585%71CP2241W250W3438MiB11019MiB100%blai
gpu1585%51CP826W250W10MiB11019MiB0%blai
gpu1685%78CP2122W300W2760MiB48685MiB61%blai
gpu1685%89CP2229W300W6602MiB48685MiB100%blai
gpu1685%69CP2259W300W2758MiB48685MiB100%blai
gpu1685%85CP2247W300W3025MiB48685MiB97%blai
gpu1785%68CP2137W250W3809MiB12066MiB99%blai
gpu1785%45CP236W250W1117MiB12066MiB10%omar
gpu1785%74CP2144W250W4577MiB12066MiB100%blai
gpu1785%77CP2151W250W2657MiB12066MiB100%blai
gpu1985%31CP824W260W18MiB24219MiB0%
gpu1985%28CP816W260W27MiB24220MiB0%
gpu2085%25CP820W250W11MiB11178MiB0%
gpu2085%27CP813W250W11MiB11178MiB0%
gpu2185%31CP812W260W18MiB48600MiB0%
gpu2185%29CP810W260W27MiB48601MiB0%
gpu2223%33CP816W250W1MiB11178MiB0%
gpu2227%30CP88W250W1MiB11178MiB0%
gpu2385%29CP815W260W18MiB24219MiB0%
gpu2385%27CP815W260W27MiB24220MiB0%
gpu2485%25CP820W250W11MiB11178MiB0%
gpu2485%24CP811W250W11MiB11178MiB0%
gpu2523%33CP816W250W1MiB11178MiB0%
gpu2520%29CP87W250W1MiB11178MiB0%
gpu2785%33CP820W250W10MiB11019MiB0%
gpu2785%32CP821W250W10MiB11019MiB0%
gpu2785%31CP820W250W10MiB11019MiB0%
gpu2785%31CP820W250W10MiB11019MiB0%
gpu2885%31CP822W300W19MiB48685MiB0%
gpu2885%28CP823W300W19MiB48685MiB0%
gpu2885%32CP823W300W19MiB48685MiB0%
gpu2885%32CP822W300W19MiB48685MiB0%
gpu2885%29CP826W300W28MiB48685MiB0%
gpu2885%30CP815W300W19MiB48685MiB0%
gpu2885%29CP816W300W19MiB48685MiB0%
gpu2885%31CP817W300W19MiB48685MiB0%
gpu2985%32CP816W280W10MiB24220MiB0%
gpu2985%31CP87W280W10MiB24220MiB0%
gpu2985%29CP816W280W10MiB24220MiB0%
gpu2985%30CP86W280W10MiB24220MiB0%
gpu3085%29CP820W250W10MiB11019MiB0%
gpu3085%26CP818W250W10MiB11019MiB0%
gpu3085%28CP828W250W10MiB11019MiB0%
gpu3085%28CP810W250W10MiB11019MiB0%
gpu3085%26CP84W250W10MiB11019MiB0%
gpu3085%26CP818W250W10MiB11019MiB0%
gpu3085%28CP817W250W10MiB11019MiB0%
gpu3085%27CP821W250W10MiB11019MiB0%
gpu3185%33CP831W250W10MiB11019MiB0%
gpu3185%33CP846W250W10MiB11019MiB0%
gpu3185%31CP834W250W10MiB11019MiB0%
gpu3185%31CP842W250W10MiB11019MiB0%
gpu3285%30CP833W250W10MiB11019MiB0%
gpu3285%31CP827W250W10MiB11019MiB0%
gpu3285%31CP822W250W10MiB11019MiB0%
gpu3285%30CP833W250W10MiB11019MiB0%
gpu3385%33CP828W250W10MiB11019MiB0%
gpu3385%28CP829W250W10MiB11019MiB0%
gpu3385%33CP828W250W10MiB11019MiB0%
gpu3385%33CP814W250W10MiB11019MiB0%
gpu3385%28CP822W250W10MiB11019MiB0%
gpu3385%29CP820W250W10MiB11019MiB0%
gpu3385%34CP827W250W10MiB11019MiB0%
gpu3385%31CP838W250W10MiB11019MiB0%
gpu3485%30CP818W250W10MiB11019MiB0%
gpu3485%27CP814W250W10MiB11019MiB0%
gpu3585%38CP823W250W10MiB11019MiB0%
gpu3585%36CP836W250W10MiB11019MiB0%
gpu3585%33CP822W250W10MiB11019MiB0%
gpu3585%34CP826W250W10MiB11019MiB0%
gpu3685%32CP821W250W10MiB11019MiB0%
gpu3685%65CP2227W250W3822MiB11019MiB100%blai
gpu3685%40CP821W250W10MiB11019MiB0%
gpu3686%78CP2251W250W2926MiB11019MiB100%blai
gpu3685%27CP88W250W10MiB11019MiB0%
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