CRCD Batchmon

All Running Jobs on Metis

ExtractFigures_2024 - 32331 (R)
Submitted by REDACTED on 2025-01-28 23:24:50

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 12:00:00 8 0 16GB

Nodes
cn27*

CPU Efficiency (%) 🖥️
62%
Memory Efficiency (%) 💾
93%
Walltime Usage (%) 🕒
61%

ExtractFigures_2023 - 32330 (R)
Submitted by REDACTED on 2025-01-28 23:24:50

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 12:00:00 8 0 16GB

Nodes
cn25*

CPU Efficiency (%) 🖥️
72%
Memory Efficiency (%) 💾
87%
Walltime Usage (%) 🕒
61%

ExtractFigures_2021 - 32328 (R)
Submitted by REDACTED on 2025-01-28 23:24:50

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 12:00:00 8 0 16GB

Nodes
cn18*

CPU Efficiency (%) 🖥️
56%
Memory Efficiency (%) 💾
68%
Walltime Usage (%) 🕒
61%

ExtractFigures_2020 - 32327 (R)
Submitted by REDACTED on 2025-01-28 23:24:50

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 12:00:00 8 0 16GB

Nodes
cn17*

CPU Efficiency (%) 🖥️
59%
Memory Efficiency (%) 💾
62%
Walltime Usage (%) 🕒
61%

ExtractFigures_2019 - 32326 (R)
Submitted by REDACTED on 2025-01-28 23:24:50

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 12:00:00 8 0 16GB

Nodes
cn16*

CPU Efficiency (%) 🖥️
56%
Memory Efficiency (%) 💾
93%
Walltime Usage (%) 🕒
61%

ExtractFigures_2018 - 32325 (R)
Submitted by REDACTED on 2025-01-28 23:24:50

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 12:00:00 8 0 16GB

Nodes
cn13*

CPU Efficiency (%) 🖥️
65%
Memory Efficiency (%) 💾
75%
Walltime Usage (%) 🕒
61%

ExtractFigures_2017 - 32324 (R)
Submitted by REDACTED on 2025-01-28 23:24:50

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 12:00:00 8 0 16GB

Nodes
cn09*

CPU Efficiency (%) 🖥️
72%
Memory Efficiency (%) 💾
68%
Walltime Usage (%) 🕒
61%

scirc1dprobe - 32301 (R)
Submitted by REDACTED on 2025-01-28 18:05:19

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 26:00:00 16 2 128GB

Nodes
cn06*, cn22

CPU Efficiency (%) 🖥️
46%
Memory Efficiency (%) 💾
6%
Walltime Usage (%) 🕒
48%

squa1dprobe - 32300 (R)
Submitted by REDACTED on 2025-01-28 18:01:22

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 25:00:00 16 2 128GB

Nodes
cn09*, cn18

CPU Efficiency (%) 🖥️
50%
Memory Efficiency (%) 💾
6%
Walltime Usage (%) 🕒
51%

squa1dprobe - 32295 (R)
Submitted by REDACTED on 2025-01-28 15:49:18

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 25:00:00 16 2 128GB

Nodes
cn02*, cn04, cn09, cn29

CPU Efficiency (%) 🖥️
47%
Memory Efficiency (%) 💾
6%
Walltime Usage (%) 🕒
59%

WRF_MODEL - 32287 (R)
Submitted by REDACTED on 2025-01-28 15:14:42

Queue Walltime # of CPUs # of GPUs Memory
q64cpus 48:00:00 64 0 64GB

Nodes
cn01*

CPU Efficiency (%) 🖥️
0%
Memory Efficiency (%) 💾
51%
Walltime Usage (%) 🕒
32%

inference - 32269 (R)
Submitted by REDACTED on 2025-01-28 13:10:30

Queue Walltime # of CPUs # of GPUs Memory
q32cpus 48:00:00 32 1 200GB

Nodes
cn31, cn31*

CPU Efficiency (%) 🖥️
0%
Memory Efficiency (%) 💾
0%
Walltime Usage (%) 🕒
36%

Ph2PCH2O3PFeH+_t_HCO2H_TS_UTPSShD3_def2SVP_76pm - 32220 (R)
Submitted by REDACTED on 2025-01-28 08:04:06

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 96:00:00 10 0 120GB

Nodes
cn14*

CPU Efficiency (%) 🖥️
99%
Memory Efficiency (%) 💾
7%
Walltime Usage (%) 🕒
23%

Ph2PCH2O3PFeH+_t_HCO2H_TS_UTPSShD3_def2SVP_75pm - 32219 (R)
Submitted by REDACTED on 2025-01-28 08:03:29

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 96:00:00 10 0 120GB

Nodes
cn23*

CPU Efficiency (%) 🖥️
99%
Memory Efficiency (%) 💾
7%
Walltime Usage (%) 🕒
23%

submit.sh - 32190 (R)
Submitted by REDACTED on 2025-01-27 19:17:56

Queue Walltime # of CPUs # of GPUs Memory
q32cpus 90:00:00 19 0 16GB

Nodes
cn12*

CPU Efficiency (%) 🖥️
47%
Memory Efficiency (%) 💾
25%
Walltime Usage (%) 🕒
39%

submit.sh - 32189 (R)
Submitted by REDACTED on 2025-01-27 19:15:15

Queue Walltime # of CPUs # of GPUs Memory
q32cpus 90:00:00 19 0 16GB

Nodes
cn11*

CPU Efficiency (%) 🖥️
34%
Memory Efficiency (%) 💾
31%
Walltime Usage (%) 🕒
39%

2020-Gridrestart2 - 32173 (R)
Submitted by REDACTED on 2025-01-28 12:11:16

Queue Walltime # of CPUs # of GPUs Memory
long 96:00:00 180 0 1920GB

Nodes
cn09, cn16, cn16, cn16, cn16, cn21, cn25, cn27, cn29, cn29... (6 more)

CPU Efficiency (%) 🖥️
68%
Memory Efficiency (%) 💾
1%
Walltime Usage (%) 🕒
19%

distributed_training - 32155 (R)
Submitted by REDACTED on 2025-01-27 20:50:00

Queue Walltime # of CPUs # of GPUs Memory
long 96:00:00 216 16 440GB

Nodes
cn01, cn01, cn03, cn03*, cn05, cn05, cn08, cn08, cn09, cn10... (22 more)

CPU Efficiency (%) 🖥️
0%
Memory Efficiency (%) 💾
0%
Walltime Usage (%) 🕒
35%

Co3SN2S2_5K_0T - 32149 (R)
Submitted by REDACTED on 2025-01-27 11:49:06

Queue Walltime # of CPUs # of GPUs Memory
long 48:00:00 256 0 960GB

Nodes
cn15, cn15, cn15*, cn24, cn26

CPU Efficiency (%) 🖥️
92%
Memory Efficiency (%) 💾
3%
Walltime Usage (%) 🕒
89%

Ph2PCH2CH23PFeH+_t_HCO2H_UTPSShD3_def2SVP_zm2scan - 32130 (R)
Submitted by REDACTED on 2025-01-27 08:50:17

Queue Walltime # of CPUs # of GPUs Memory
q16cpus 192:00:00 10 0 120GB

Nodes
cn07*

CPU Efficiency (%) 🖥️
99%
Memory Efficiency (%) 💾
0%
Walltime Usage (%) 🕒
23%

3060-Gridrestart2 - 32120 (R)
Submitted by REDACTED on 2025-01-27 17:39:06

Queue Walltime # of CPUs # of GPUs Memory
long 96:00:00 180 0 1920GB

Nodes
cn01, cn02, cn04, cn04, cn04*, cn06, cn06, cn09, cn21, cn22... (6 more)

CPU Efficiency (%) 🖥️
42%
Memory Efficiency (%) 💾
1%
Walltime Usage (%) 🕒
38%

3020-Gridrestart2 - 32060 (R)
Submitted by REDACTED on 2025-01-27 17:38:41

Queue Walltime # of CPUs # of GPUs Memory
long 96:00:00 180 0 1920GB

Nodes
cn01, cn02, cn04, cn04, cn06, cn09, cn10, cn18*, cn21, cn22... (6 more)

CPU Efficiency (%) 🖥️
27%
Memory Efficiency (%) 💾
1%
Walltime Usage (%) 🕒
38%

1040-Gridrestart1 - 32028 (R)
Submitted by REDACTED on 2025-01-27 17:37:42

Queue Walltime # of CPUs # of GPUs Memory
long 96:00:00 180 0 1920GB

Nodes
cn01, cn02, cn02, cn04, cn04, cn05, cn06, cn08, cn21, cn22... (6 more)

CPU Efficiency (%) 🖥️
39%
Memory Efficiency (%) 💾
1%
Walltime Usage (%) 🕒
38%

30100-Gridrestart1 - 32027 (R)
Submitted by REDACTED on 2025-01-24 18:09:38

Queue Walltime # of CPUs # of GPUs Memory
qdf 196:00:00 180 0 1920GB

Nodes
cn02, cn04, cn05, cn06, cn08, cn09, cn10, cn11, cn12, cn20*... (5 more)

CPU Efficiency (%) 🖥️
28%
Memory Efficiency (%) 💾
1%
Walltime Usage (%) 🕒
55%

2080-Gridrestart1 - 32023 (R)
Submitted by REDACTED on 2025-01-24 18:08:57

Queue Walltime # of CPUs # of GPUs Memory
qdf 120:00:00 180 0 1920GB

Nodes
cn05, cn05, cn08, cn08, cn08*, cn10, cn10, cn10, cn11, cn11... (5 more)

CPU Efficiency (%) 🖥️
65%
Memory Efficiency (%) 💾
1%
Walltime Usage (%) 🕒
90%

2060-Gridrestart1 - 32022 (R)
Submitted by REDACTED on 2025-01-27 15:58:51

Queue Walltime # of CPUs # of GPUs Memory
long 96:00:00 180 0 1920GB

Nodes
cn01, cn02, cn05, cn11, cn12, cn13, cn17, cn17*, cn18, cn19... (5 more)

CPU Efficiency (%) 🖥️
48%
Memory Efficiency (%) 💾
1%
Walltime Usage (%) 🕒
40%

20100-Gridrestart1 - 32020 (R)
Submitted by REDACTED on 2025-01-27 00:51:22

Queue Walltime # of CPUs # of GPUs Memory
long 96:00:00 180 0 1920GB

Nodes
cn05, cn12, cn13, cn13, cn17, cn18, cn18, cn19, cn24, cn24... (4 more)

CPU Efficiency (%) 🖥️
70%
Memory Efficiency (%) 💾
1%
Walltime Usage (%) 🕒
56%