TTIC SLURM Cluster: Process Statistics
Thu Feb 2 12:24:12 CST 2023 [Docs] | [Job Process Info] | [Job Queue] | [Cluster Usage & Load]

Node User Command CPU % MEM % MEM (kb)
cpu2 NCPU: 8 load average: 0.00, 0.01, 0.08
cpu3 NCPU: 8 load average: 0.03, 0.03, 0.09
cpu4 NCPU: 8 load average: 0.01, 0.03, 0.10
cpu5 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu6 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu7 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu8 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu9 NCPU: 8 load average: 0.00, 0.01, 0.05
cpu10 NCPU: 12 load average: 0.01, 0.02, 0.05
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: 0.01, 0.02, 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: 0.00, 0.01, 0.05
cpu19 NCPU: 8 load average: 0.01, 0.07, 0.06
cpu20 NCPU: 8 load average: 0.02, 0.09, 0.09
cpu21 NCPU: 8 load average: 0.00, 0.02, 0.05
cpu22 NCPU: 8 load average: 0.03, 0.05, 0.05
cpu23 NCPU: 64 load average: 0.00, 0.01, 0.05
gpu1 NCPU: 20 load average: 9.22, 9.51, 10.53
ankitap python 99.6 2.5 6763524
ankitap python 99.6 2.9 7891608
ankitap python 99.6 2.9 7805248
ankitap python 99.6 1.8 4881392
ankitap python 99.6 2.5 6682940
ankitap python 99.3 2.9 7888760
ankitap python 99.3 2.5 6774300
dyunis python 99.0 1.2 3387868
dyoshida python 74.1 1.8 4878744
dyoshida python 50.6 2.0 5475900
dyunis wandb-service(2 6.3 0.0 108528
ankitap slurm_script 0.0 0.0 1392
ankitap bash 0.0 0.0 1648
ankitap slurm_script 0.0 0.0 1400
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1640
ankitap bash 0.0 0.0 1648
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1644
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1648
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1648
dyunis slurm_script 0.0 0.0 1528
dyunis git 0.0 0.0 1204
dyoshida slurm_script 0.0 0.0 1400
dyoshida python 0.0 0.0 8
dyoshida slurm_script 0.0 0.0 1204
gpu2 NCPU: 16 load average: 2.41, 2.57, 3.15
ankitap python 99.5 2.9 7802260
ankitap python 99.3 2.3 6168268
dyunis python 98.5 1.2 3388424
tenzorok python 9.2 0.9 2448508
dyunis wandb-service(2 3.3 0.0 106432
tenzorok python 1.3 0.9 2477260
tenzorok jupyter-noteboo 0.1 0.0 211708
tenzorok python 0.0 0.9 2460152
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
tenzorok python 0.0 0.0 56536
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1648
tenzorok python 0.0 0.0 56548
tenzorok python 0.0 0.0 56420
dyunis slurm_script 0.0 0.0 1536
dyunis git 0.0 0.0 1208
tenzorok bash 0.0 0.0 2344
tenzorok python 0.0 0.0 70172
tenzorok start_jupyter 0.0 0.0 1424
gpu3 NCPU: 28 load average: 3.52, 3.74, 4.38
ankitap python 99.8 0.8 2343168
dyoshida python 58.9 0.8 2130316
dyoshida python 53.3 1.7 4527976
dyoshida slurm_script 0.0 0.0 1396
dyoshida slurmstepd 0.0 0.0 1508
dyoshida gpulock.sh 0.0 0.0 1412
dyoshida flock 0.0 0.0 600
dyoshida gpulock.sh 0.0 0.0 1412
dyoshida sleep 0.0 0.0 360
dyoshida python 0.0 0.0 8
dyoshida ptxas 0.0 0.0 5348
dyoshida slurm_script 0.0 0.0 1400
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1648
gpu4 NCPU: 20 load average: 3.77, 3.62, 4.23
ankitap python 99.9 4.0 7871540
ankitap python 99.8 4.0 7866208
dyoshida python 63.4 2.8 5508364
dyoshida python 53.9 2.7 5458028
dyoshida slurm_script 0.0 0.0 1392
dyoshida slurm_script 0.0 0.0 1396
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1648
gpu5 NCPU: 48 load average: 0.03, 0.07, 0.05
hzhao bash 0.0 0.0 2304
hzhao bash 0.0 0.0 2304
hzhao bash 0.0 0.0 2304
hzhao bash 0.0 0.0 2300
hzhao bash 0.0 0.0 2300
hzhao bash 0.0 0.0 2300
hzhao bash 0.0 0.0 2304
hzhao bash 0.0 0.0 2304
gpu6 NCPU: 20 load average: 0.85, 0.39, 0.31
jiahao watch 5.1 0.0 2732
xdu bash 0.0 0.0 2644
kevinsuk bash 0.0 0.0 2064
jiahao bash 0.0 0.0 5132
jiahao bash 0.0 0.0 5064
xdu bash 0.0 0.0 2356
gpu7 NCPU: 20 load average: 0.25, 0.10, 0.07
gpu8 NCPU: 20 load average: 0.00, 0.01, 0.05
gpu10 NCPU: 6 load average: 0.00, 0.01, 0.05
gpu11 NCPU: 20 load average: 3.35, 3.63, 3.84
ankitap python 99.8 4.0 7865728
ankitap python 99.6 3.1 6202956
dyunis python 99.4 1.2 2550936
dyunis python 98.4 1.3 2559980
dyunis wandb-service(2 4.4 0.0 110468
dyunis wandb-service(2 3.4 0.0 109340
dyunis git 0.0 0.0 1212
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1640
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1644
dyunis slurm_script 0.0 0.0 1520
dyunis git 0.0 0.0 1208
cmchien bash 0.0 0.0 1452
cmchien bash 0.0 0.0 1356
cmchien bash 0.0 0.0 1532
dyunis slurm_script 0.0 0.0 1524
gpu12 NCPU: 16 load average: 1.83, 1.87, 2.30
dyunis python 99.2 1.2 3422632
dyoshida python 91.4 1.8 4932416
dyunis wandb-service(2 3.0 0.0 112596
cmchien bash 0.0 0.0 1564
fjd bash 0.0 0.0 2268
dyunis slurm_script 0.0 0.0 1520
dyunis git 0.0 0.0 1208
dyoshida slurm_script 0.0 0.0 1404
dyoshida python 0.0 0.0 8
gpu13 NCPU: 16 load average: 2.37, 2.53, 2.58
ankitap python 99.3 2.2 5901432
dyunis python 97.1 0.9 2559060
dyoshida python 52.6 1.6 4255464
sudarshan python 31.4 0.8 2303344
dyunis wandb-service(2 3.2 0.0 110584
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1644
dyunis slurm_script 0.0 0.0 1532
dyunis git 0.0 0.0 1204
sudarshan python 0.0 0.4 1166244
sudarshan python 0.0 0.4 1166248
sudarshan python 0.0 0.4 1166248
sudarshan python 0.0 0.4 1166244
dyoshida ptxas 0.0 0.0 5348
dyoshida slurm_script 0.0 0.0 1400
sudarshan bash 0.0 0.0 2380
gpu14 NCPU: 16 load average: 3.68, 3.59, 4.00
ankitap python 99.3 0.9 2478776
ankitap python 99.2 0.9 2481452
dyunis python 98.4 1.2 3394656
dyunis python 98.3 1.2 3393912
dyunis wandb-service(2 2.7 0.0 113408
dyunis wandb-service(2 2.7 0.0 109256
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1644
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
dyunis slurm_script 0.0 0.0 1532
dyunis slurm_script 0.0 0.0 1524
dyunis git 0.0 0.0 1204
dyunis git 0.0 0.0 1204
gpu15 NCPU: 16 load average: 3.30, 3.27, 3.30
dyunis python 99.5 0.9 2551088
dyunis python 99.3 0.9 2557384
dyunis python 99.1 0.9 2565992
ankitap python 96.7 2.2 5893516
dyunis wandb-service(2 3.2 0.0 107200
dyunis wandb-service(2 3.1 0.0 110676
dyunis wandb-service(2 2.8 0.0 117356
dyunis slurm_script 0.0 0.0 1524
dyunis git 0.0 0.0 1212
dyunis slurm_script 0.0 0.0 1520
dyunis git 0.0 0.0 1212
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1648
dyunis slurm_script 0.0 0.0 1520
dyunis git 0.0 0.0 1208
gpu16 NCPU: 16 load average: 2.37, 2.66, 3.02
ankitap python 99.4 2.9 7852580
dyunis python 99.2 1.2 3394492
dyoshida python 50.0 2.3 6177636
dyunis wandb-service(2 2.7 0.0 107516
dyoshida slurm_script 0.0 0.0 1204
zhang7 bash 0.0 0.0 2308
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
dyunis slurm_script 0.0 0.0 1532
dyunis git 0.0 0.0 1204
dyoshida python 0.0 0.0 8
gpu17 NCPU: 16 load average: 1.84, 2.03, 2.37
dyoshida python 108 1.3 3572736
dyoshida python 76.3 0.0 208332
tenzorok python 7.4 0.7 1990588
tenzorok python 3.1 0.8 2113348
tenzorok jupyter-noteboo 0.1 0.0 179536
dyoshida slurm_script 0.0 0.0 1204
dyoshida slurm_script 0.0 0.0 1400
tenzorok start_jupyter 0.0 0.0 1480
tenzorok python 0.0 0.0 60632
tenzorok python 0.0 0.1 449396
tenzorok bash 0.0 0.0 1588
gpu19 NCPU: 8 load average: 0.16, 0.18, 0.15
xdu watch 1.0 0.0 2616
xdu bash 0.0 0.0 2388
xdu bash 0.0 0.0 2676
gpu20 NCPU: 4 load average: 0.70, 0.66, 0.68
whc watch 0.1 0.0 2416
whc bash 0.0 0.0 2304
whc bash 0.0 0.0 2268
whc python 0.0 5.7 3752796
whc bash 0.0 0.0 2352
jjahn bash 0.0 0.0 2472
gpu21 NCPU: 4 load average: 24.69, 24.12, 24.27
marcelo python 29.8 19.1 12575044
marcelo python 29.8 21.5 14153184
marcelo python 17.4 4.2 2801960
marcelo python 17.4 4.2 2802364
marcelo python 17.2 4.4 2956592
marcelo python 17.2 4.1 2761736
marcelo python 17.2 4.3 2859936
marcelo python 17.1 4.2 2806876
marcelo python 17.1 4.2 2765860
marcelo python 17.1 4.1 2716232
marcelo python 17.0 4.0 2690328
marcelo python 17.0 4.0 2687280
marcelo python 17.0 3.9 2622092
marcelo python 16.9 4.0 2649972
marcelo python 16.9 4.0 2657976
marcelo python 16.9 3.9 2619468
marcelo python 16.9 3.9 2594840
marcelo python 16.9 3.8 2557684
marcelo python 16.8 3.8 2548108
marcelo python 16.8 3.7 2491236
marcelo python 16.7 3.9 2584092
marcelo python 16.7 3.7 2490068
marcelo slurm_script 0.0 0.0 1684
marcelo bash 0.0 0.0 1484
marcelo python 0.0 0.3 199164
gpu22 NCPU: 4 load average: 0.05, 0.10, 0.13
gpu23 NCPU: 4 load average: 0.10, 0.15, 0.14
jiahao nvim 0.0 0.0 44276
jiahao node 0.0 0.2 166612
jiahao node 0.0 0.1 83508
jiahao node 0.0 0.5 387632
jiahao bash 0.0 0.0 1700
jiahao bash 0.0 0.0 3364
jiahao bash 0.0 0.0 1608
jiahao bash 0.0 0.0 5244
jiahao bash 0.0 0.0 5268
jiahao bash 0.0 0.0 6260
jiahao bash 0.0 0.0 5248
jiahao bash 0.0 0.0 1524
jiahao bash 0.0 0.0 5244
jiahao bash 0.0 0.0 5244
jiahao jupyter-noteboo 0.0 0.1 74776
gpu24 NCPU: 8 load average: 0.00, 0.01, 0.05
gpu25 NCPU: 4 load average: 0.00, 0.01, 0.05
savarese bash 0.0 0.0 2392
gpu28 NCPU: 20 load average: 54.28, 51.41, 48.41
yehr python3 90.7 0.9 3727020
yehr python3 85.9 0.9 3726852
yehr python3 82.4 0.9 3722800
yehr python3 79.1 0.9 3763332
yehr python3 78.2 0.9 3762596
yehr python3 75.7 0.9 3796120
yehr python3 71.5 0.9 3743552
yehr python3 70.2 0.9 3723540
yehr python3 26.0 0.4 1620460
yehr python3 25.4 0.4 1620468
yehr python3 25.2 0.4 1620476
yehr python3 25.0 0.4 1620480
yehr python3 24.9 0.3 1415340
yehr python3 24.9 0.3 1426488
yehr python3 24.8 0.3 1432368
yehr python3 24.8 0.4 1620420
yehr python3 24.8 0.4 1620484
yehr python3 24.7 0.3 1429780
yehr python3 24.6 0.3 1416336
yehr python3 24.6 0.3 1433944
yehr python3 24.6 0.3 1432300
yehr python3 24.6 0.3 1420488
yehr python3 24.5 0.3 1407748
yehr python3 24.5 0.3 1404000
yehr python3 24.5 0.3 1426972
yehr python3 24.4 0.3 1408572
yehr python3 24.4 0.3 1569136
yehr python3 24.4 0.3 1432444
yehr python3 24.4 0.3 1433408
yehr python3 24.3 0.3 1408944
yehr python3 24.3 0.3 1429616
yehr python3 24.3 0.3 1427892
yehr python3 24.2 0.4 1581536
yehr python3 24.2 0.3 1569100
yehr python3 24.2 0.3 1401492
yehr python3 24.1 0.3 1569148
yehr python3 24.1 0.3 1432472
yehr python3 24.0 0.4 1581528
yehr python3 24.0 0.4 1581548
yehr python3 24.0 0.3 1423484
yehr python3 24.0 0.3 1416280
yehr python3 24.0 0.3 1432264
yehr python3 23.9 0.3 1406764
yehr python3 23.9 0.3 1415576
yehr python3 23.9 0.3 1422856
yehr python3 23.9 0.3 1423028
yehr python3 23.8 0.3 1569144
yehr python3 23.8 0.3 1401480
yehr python3 23.8 0.3 1465080
yehr python3 23.8 0.3 1427156
yehr python3 23.7 0.4 1581520
yehr python3 23.7 0.3 1434076
yehr python3 23.6 0.3 1569128
yehr python3 23.6 0.4 1581540
yehr python3 23.5 0.4 1581528
yehr python3 23.5 0.3 1569132
yehr python3 1.0 0.0 195044
yehr slurm_script 0.0 0.0 1524
gpu29 NCPU: 20 load average: 4.11, 4.06, 4.73
ankitap python 99.9 3.4 6743192
ankitap python 99.8 3.0 5916816
ankitap python 99.8 3.0 5918060
ankitap python 99.8 2.9 5834432
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1640
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1640
ankitap slurm_script 0.0 0.0 1396
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1648
ankitap bash 0.0 0.0 1648
gpu30 NCPU: 20 load average: 8.00, 8.01, 8.86
ankitap python 99.9 3.4 6743228
ankitap python 99.9 4.0 7894488
ankitap python 99.9 4.0 7895060
ankitap python 99.8 3.4 6743212
ankitap python 99.8 2.3 4655152
ankitap python 99.8 3.0 5917292
ankitap python 99.8 2.5 5074760
ankitap python 99.7 3.4 6743908
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1648
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1640
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
ankitap slurm_script 0.0 0.0 1392
ankitap bash 0.0 0.0 1648
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1648
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1648
gpu31 NCPU: 24 load average: 4.16, 4.06, 4.87
dyoshida python 113 2.0 3966976
dyoshida python 110 2.0 3990324
ankitap python 99.8 2.5 5090144
ankitap python 99.7 2.5 5080840
dyoshida ptxas 9.0 0.0 3112
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1648
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1644
dyoshida slurm_script 0.0 0.0 1400
dyoshida slurm_script 0.0 0.0 1400
gpu32 NCPU: 24 load average: 3.35, 3.50, 4.07
ankitap python 99.8 3.1 6211508
dyunis python 99.7 1.2 2553004
dyunis python 99.6 1.3 2554904
dyunis python 98.8 1.3 2558528
dyunis wandb-service(2 4.2 0.0 108596
dyunis wandb-service(2 3.5 0.0 112428
dyunis wandb-service(2 3.5 0.0 106236
dyunis slurm_script 0.0 0.0 1532
dyunis git 0.0 0.0 1208
dyunis slurm_script 0.0 0.0 1540
dyunis git 0.0 0.0 1208
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
dyunis slurm_script 0.0 0.0 1528
dyunis git 0.0 0.0 1208
gpu33 NCPU: 20 load average: 7.43, 7.46, 9.39
ankitap python 99.9 3.4 6772332
ankitap python 99.9 3.4 6751464
ankitap python 99.9 4.0 7871616
ankitap python 99.9 4.0 7873692
ankitap python 99.8 4.0 7866036
ankitap python 99.7 3.1 6205568
dyoshida python 55.4 2.1 4289240
dyoshida python 49.7 2.1 4181196
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1640
ankitap slurm_script 0.0 0.0 1396
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1648
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
ankitap bash 0.0 0.0 1648
ankitap slurm_script 0.0 0.0 1400
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
ankitap bash 0.0 0.0 1648
dyoshida python 0.0 0.0 8
dyoshida slurm_script 0.0 0.0 1396
dyoshida slurm_script 0.0 0.0 1396
gpu34 NCPU: 8 load average: 0.00, 0.01, 0.05
gpu35 NCPU: 16 load average: 2.93, 2.79, 3.35
ankitap python 99.6 3.4 7866040
ankitap python 99.3 1.0 2487212
ankitap python 99.3 2.9 6734108
ankitap bash 0.0 0.0 2332
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1640
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1644
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1648
gpu36 NCPU: 20 load average: 8.08, 7.64, 8.37
ankitap python 99.9 4.0 7886700
ankitap python 99.0 3.0 5917048
dyunis python 98.2 1.3 2564760
dyunis python 98.2 1.3 2562072
dyunis python 96.3 1.3 2561640
dyunis python 96.2 1.3 2559360
dyoshida python 65.3 2.2 4373764
dyoshida python 51.3 2.1 4280224
dyunis wandb-service(2 5.6 0.0 112512
dyunis wandb-service(2 5.4 0.0 112568
dyunis wandb-service(2 4.9 0.0 115484
dyunis wandb-service(2 4.9 0.0 115364
dyunis slurm_script 0.0 0.0 1536
dyunis git 0.0 0.0 1212
dyunis slurm_script 0.0 0.0 1532
ankitap slurm_script 0.0 0.0 1392
ankitap bash 0.0 0.0 1648
dyunis git 0.0 0.0 1204
dyoshida ptxas 0.0 0.0 10868
dyunis slurm_script 0.0 0.0 1532
dyunis git 0.0 0.0 1208
dyunis slurm_script 0.0 0.0 1528
dyunis git 0.0 0.0 1208
dyoshida slurm_script 0.0 0.0 1204
dyoshida slurm_script 0.0 0.0 1400
ankitap slurm_script 0.0 0.0 1392
ankitap bash 0.0 0.0 1648
gpu37 NCPU: 20 load average: 3.29, 3.35, 4.41
ankitap python 99.6 2.9 7856284
ankitap python 99.4 2.9 7883548
dyunis python 99.3 0.9 2550804
dyoshida python 55.2 1.6 4255828
dyunis wandb-service(2 3.4 0.0 106456
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1644
ankitap slurm_script 0.0 0.0 1400
ankitap bash 0.0 0.0 1644
dyunis slurm_script 0.0 0.0 1520
dyunis git 0.0 0.0 1208
dyoshida slurm_script 0.0 0.0 1208
gpu38 NCPU: 20 load average: 8.07, 8.09, 10.68
ankitap python 99.9 4.0 7886420
ankitap python 99.9 3.0 6075892
ankitap python 99.9 4.0 7865572
ankitap python 99.9 3.1 6182208
ankitap python 99.9 3.0 6075844
ankitap python 99.9 4.0 7865636
ankitap python 99.8 3.4 6748108
ankitap python 99.8 3.4 6743320
ankitap slurm_script 0.0 0.0 1396
ankitap slurm_script 0.0 0.0 1396
ankitap slurm_script 0.0 0.0 1396
ankitap slurm_script 0.0 0.0 1396
ankitap slurm_script 0.0 0.0 1396
ankitap slurm_script 0.0 0.0 1400
ankitap slurm_script 0.0 0.0 1400
ankitap slurm_script 0.0 0.0 1396
ankitap bash 0.0 0.0 1644
ankitap bash 0.0 0.0 1640
ankitap bash 0.0 0.0 1640
ankitap bash 0.0 0.0 1648
ankitap bash 0.0 0.0 1640
ankitap bash 0.0 0.0 1648
ankitap bash 0.0 0.0 1644
ankitap bash 0.0 0.0 1648
gpu39 NCPU: 8 load average: 0.04, 0.09, 0.13

TTIC SLURM Cluster: GPU Statistics
Thu Feb 2 12:24:12 CST 2023

Node Fan SpeedTemp Perf State PowerMax MemoryMax GPU Usage User
gpu185%70CP2139W140W3441MiB16376MiB96%dyunis
gpu185%31CP814W140W19MiB16376MiB0%
gpu185%30CP815W140W19MiB16376MiB0%
gpu185%30CP818W140W19MiB16376MiB0%
gpu185%30CP813W140W19MiB16376MiB0%
gpu185%30CP816W140W19MiB16376MiB0%
gpu185%30CP813W140W19MiB16376MiB0%
gpu185%37CP234W140W15687MiB16376MiB1%dyoshida
gpu185%42CP238W140W15665MiB16376MiB0%dyoshida
gpu185%31CP815W140W28MiB16376MiB0%
gpu285%29CP814W140W6444MiB16376MiB0%tenzorok
gpu285%30CP817W140W19MiB16376MiB0%
gpu285%69CP2139W140W3624MiB16376MiB97%dyunis
gpu285%29CP815W140W27MiB16376MiB0%
gpu385%35CP819W250W10MiB11264MiB0%
gpu385%38CP259W250W10652MiB11264MiB2%dyoshida
gpu385%33CP830W250W10MiB11264MiB0%
gpu385%35CP255W250W10296MiB11264MiB2%dyoshida
gpu485%36CP818W140W19MiB16376MiB0%
gpu485%35CP817W140W19MiB16376MiB0%
gpu485%48CP272W140W15686MiB16376MiB49%dyoshida
gpu485%37CP236W140W15687MiB16376MiB1%dyoshida
gpu585%31CP822W300W19MiB49140MiB0%
gpu585%30CP819W300W19MiB49140MiB0%
gpu585%30CP820W300W19MiB49140MiB0%
gpu585%28CP831W300W19MiB49140MiB0%
gpu585%30CP823W300W28MiB49140MiB0%
gpu585%28CP829W300W19MiB49140MiB0%
gpu585%30CP822W300W19MiB49140MiB0%
gpu585%28CP824W300W19MiB49140MiB0%
gpu685%49CP821W300W19MiB49140MiB0%
gpu686%29CP819W300W19MiB49140MiB0%
gpu685%31CP819W300W19MiB49140MiB0%
gpu685%31CP822W300W19MiB49140MiB0%
gpu686%29CP820W300W19MiB49140MiB0%
gpu686%33CP831W300W19MiB49140MiB0%
gpu686%30CP816W300W19MiB49140MiB0%
gpu685%32CP818W300W28MiB49140MiB0%
gpu785%32CP822W300W19MiB49140MiB0%
gpu785%31CP819W300W19MiB49140MiB0%
gpu785%33CP820W300W19MiB49140MiB0%
gpu785%33CP814W300W19MiB49140MiB0%
gpu785%30CP819W300W19MiB49140MiB0%
gpu785%31CP817W300W19MiB49140MiB0%
gpu785%31CP823W300W19MiB49140MiB0%
gpu785%31CP828W300W28MiB49140MiB0%
gpu885%31CP818W300W19MiB49140MiB0%
gpu885%31CP817W300W19MiB49140MiB0%
gpu885%33CP819W300W27MiB49140MiB1%
gpu1085%32CP820W250W11MiB12288MiB0%
gpu1085%26CP812W250W11MiB12288MiB0%
gpu1185%82CP2230W250W3066MiB11264MiB95%dyunis
gpu1185%39CP817W250W10MiB11264MiB0%
gpu1185%36CP823W250W10MiB11264MiB0%
gpu1185%71CP2244W250W3810MiB11264MiB98%dyunis
gpu1285%36CP235W140W15670MiB16376MiB1%dyoshida
gpu1285%67CP2130W140W3624MiB16376MiB98%dyunis
gpu1285%31CP816W140W19MiB16376MiB0%
gpu1285%31CP819W140W27MiB16376MiB0%
gpu1385%37CP816W250W11MiB11264MiB0%
gpu1385%39CP259W250W10648MiB11264MiB1%dyoshida
gpu1385%70CP2238W250W3810MiB11264MiB97%dyunis
gpu1385%36CP834W250W1676MiB11264MiB0%sudarshan
gpu1485%75CP2139W140W3402MiB16376MiB97%dyunis
gpu1485%34CP815W140W19MiB16376MiB0%
gpu1485%74CP2139W140W3402MiB16376MiB97%dyunis
gpu1485%33CP815W140W27MiB16376MiB0%
gpu1572CP2169W250W3066MiB11264MiB98%Defaultdyunis
gpu1585%83CP2238W250W3810MiB11264MiB76%dyunis
gpu1585%73CP2235W250W3066MiB11264MiB96%dyunis
gpu1585%38CP824W250W10MiB11264MiB0%
gpu1685%45CP270W300W45002MiB49140MiB0%dyoshida
gpu1685%90CP2253W300W3560MiB49140MiB96%dyunis
gpu1685%31CP820W300W19MiB49140MiB0%
gpu1685%35CP829W300W27MiB49140MiB0%
gpu1785%39CP238W250W11481MiB12288MiB0%dyoshida
gpu1785%37CP825W250W5300MiB12288MiB0%tenzorok
gpu1785%53CP240W250W10MiB12288MiB0%
gpu1785%38CP827W250W14MiB12288MiB0%
gpu1985%31CP824W260W18MiB24576MiB0%
gpu1985%27CP816W260W27MiB24576MiB0%
gpu2030%38CP820W230W16501MiB24564MiB0%whc
gpu2030%58CP067W230W0MiB24564MiB1%
gpu2153%74CP2161W260W26946MiB49152MiB40%marcelo
gpu2152%73CP2171W260W26948MiB49152MiB54%marcelo
gpu2230%57CP071W230W0MiB24564MiB0%
gpu2230%57CP069W230W0MiB24564MiB1%
gpu2333%42CP056W260W0MiB24576MiB0%
gpu2334%42CP056W260W0MiB24576MiB0%
gpu2485%24CP820W250W11MiB11264MiB0%
gpu2485%22CP811W250W11MiB11264MiB0%
gpu2522%39CP054W250W0MiB11264MiB0%
gpu2513%45CP053W250W0MiB11264MiB2%
gpu2885%52CP2155W300W32236MiB49140MiB5%yehr
gpu2885%48CP2151W300W32260MiB49140MiB73%yehr
gpu2885%55CP2163W300W32260MiB49140MiB85%yehr
gpu2885%54CP2207W300W32236MiB49140MiB100%yehr
gpu2885%49CP2207W300W32236MiB49140MiB84%yehr
gpu2885%53CP2192W300W32260MiB49140MiB85%yehr
gpu2885%47CP2185W300W32276MiB49140MiB0%yehr
gpu2885%50CP2182W300W32245MiB49140MiB58%yehr
gpu2985%33CP816W280W10MiB24576MiB0%
gpu2985%32CP88W280W10MiB24576MiB0%
gpu2985%30CP816W280W10MiB24576MiB0%
gpu2985%31CP86W280W10MiB24576MiB0%
gpu3085%35CP836W250W10MiB11264MiB0%
gpu3030%32CP823W250W1MiB11264MiB0%
gpu3028%37CP838W250W1MiB11264MiB0%
gpu3085%33CP827W250W10MiB11264MiB0%
gpu3085%30CP822W250W10MiB11264MiB0%
gpu3085%31CP832W250W10MiB11264MiB0%
gpu3085%33CP827W250W10MiB11264MiB0%
gpu3085%31CP833W250W10MiB11264MiB0%
gpu3185%35CP833W250W10MiB11264MiB0%
gpu3185%35CP846W250W10MiB11264MiB0%
gpu3185%40CP265W250W10636MiB11264MiB1%dyoshida
gpu3185%40CP276W250W10636MiB11264MiB0%dyoshida
gpu3285%82CP2248W250W3810MiB11264MiB65%dyunis
gpu3285%40CP839W250W10MiB11264MiB0%
gpu3285%80CP2243W250W3066MiB11264MiB96%dyunis
gpu3285%80CP2249W250W3066MiB11264MiB96%dyunis
gpu3385%36CP830W250W10MiB11264MiB0%
gpu3385%31CP830W250W10MiB11264MiB0%
gpu3385%37CP828W250W10MiB11264MiB0%
gpu3385%44CP248W250W10646MiB11264MiB1%dyoshida
gpu3385%37CP254W250W10642MiB11264MiB0%dyoshida
gpu3385%33CP820W250W10MiB11264MiB0%
gpu3385%37CP827W250W10MiB11264MiB0%
gpu3385%34CP838W250W10MiB11264MiB0%
gpu3427%35CP815W250W1MiB11264MiB0%
gpu3427%28CP84W250W1MiB11264MiB0%
gpu3585%40CP824W250W10MiB11264MiB0%
gpu3585%38CP836W250W10MiB11264MiB0%
gpu3585%34CP823W250W10MiB11264MiB0%
gpu3585%35CP826W250W10MiB11264MiB0%
gpu3685%85CP2225W250W2932MiB11264MiB96%dyunis
gpu3685%66CP2199W250W3810MiB11264MiB80%dyunis
gpu3685%86CP2218W250W3066MiB11264MiB96%dyunis
gpu3685%84CP2238W250W3810MiB11264MiB90%dyunis
gpu3685%37CP257W250W10650MiB11264MiB2%dyoshida
gpu3685%35CP833W250W10MiB11264MiB0%
gpu3685%35CP835W250W10MiB11264MiB0%
gpu3685%45CP266W250W10644MiB11264MiB1%dyoshida
gpu3785%44CP262W250W10648MiB11264MiB2%dyoshida
gpu3785%34CP825W250W10MiB11264MiB0%
gpu3785%50CP828W260W10MiB11264MiB0%
gpu3785%78CP2247W250W3066MiB11264MiB97%dyunis
gpu3885%33CP828W300W19MiB49140MiB0%
gpu3885%29CP826W300W19MiB49140MiB0%
gpu3885%35CP817W300W19MiB49140MiB0%
gpu3885%33CP816W300W19MiB49140MiB0%
gpu3885%30CP822W300W19MiB49140MiB0%
gpu3885%31CP818W300W19MiB49140MiB0%
gpu3885%30CP829W300W19MiB49140MiB0%
gpu3885%32CP824W300W28MiB49140MiB0%
gpu3928%59CP070W250W0MiB11264MiB0%
gpu3915%60CP063W250W0MiB11264MiB0%