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config.yaml
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%YAML 1.1
---
#####################
## GLOBAL SETTINGS ##
#####################
jobstats-module-path: /home/jdh4/software/jobstats
violation-logs-path: /tigress/jdh4/utilities/job_defense_shield/violations
sender: [email protected]
reply-to: [email protected]
verbose: False
greeting-method: getent
workday-method: usa
email-files-path: /tigress/jdh4/utilities/job_defense_shield/email
report-emails:
email-domain-name: "@princeton.edu"
partition-renamings:
datascience: datasci
external-emails:
akleiner: [email protected]
####################################
## GPU MODEL TOO POWERFUL (ALERT) ##
####################################
gpu-model-too-powerful-1:
cluster: della
partitions:
- gpu
min_run_time: 61 # minutes
num_cores_threshold: 1
gpu_util_target: "50%"
gpu_hours_threshold: 24 # gpu-hours
email_file: "email/gpu_model_too_powerful.txt"
excluded_users:
- jzp
admin_emails:
##################################
## ZERO CPU UTILIZATION (ALERT) ##
##################################
zero-cpu-utilization-1:
cluster: stellar
partitions:
- all
- pppl
- pu
min_run_time: 61 # minutes
email_file: "email/zero_cpu_utilization.txt"
admin_emails:
zero-cpu-utilization-2:
cluster: della
partitions:
- cpu
- physics
min_run_time: 61 # minutes
email_file: "email/zero_cpu_utilization.txt"
admin_emails:
#########################################
## GPU-HOURS AT 0% UTILIZATION (ALERT) ##
#########################################
zero-util-gpu-hours-1:
cluster: della
partitions:
- gpu
- pli-c
- pli-p
- pli
- pli-lc
min_run_time: 10 # minutes
gpu_hours_threshold_user: 100 # hours
gpu_hours_threshold_admin: 24 # hours
email_file: "email/zero_util_gpu_hours.txt"
admin_emails:
####################################
## TOO MANY CORES PER GPU (ALERT) ##
####################################
too-many-cores-per-gpu-1:
cluster: della
partitions:
- pli
- pli-c
- pli-p
- pli-lc
cluster_name: "Della (PLI)"
cores_per_node: 96
gpus_per_node: 8
cores_per_gpu_target: 12
cores_per_gpu_limit: 18
min_run_time: 61 # minutes
email_file: "email/too_many_cores_per_gpu.txt"
admin_emails:
#########################################
## TOO MUCH CPU MEMORY PER GPU (ALERT) ##
#########################################
too-much-cpu-mem-per-gpu-1:
cluster: della
partitions:
- pli
- pli-c
- pli-p
- pli-lc
cluster_name: "Della (PLI)"
cores_per_node: 96
gpus_per_node: 8
cpu_mem_per_node: 1000 # GB
cpu_mem_per_gpu_target: 115 # GB
cpu_mem_per_gpu_limit: 125 # GB
mem_eff_thres: 0.8 # [0, 1]
min_run_time: 61 # minutes
email_file: "email/too_much_cpu_mem_per_gpu.txt"
admin_emails:
too-much-cpu-mem-per-gpu-2:
cluster: della
partitions:
- gpu
cluster_name: "Della (gpu)"
cores_per_node: 48
gpus_per_node: 4
cpu_mem_per_node: 1000 # GB
cpu_mem_per_gpu_target: 240 # GB
cpu_mem_per_gpu_limit: 250 # GB
mem_eff_thres: 0.8 # [0, 1]
min_run_time: 61 # minutes
email_file: "email/too_much_cpu_mem_per_gpu_2.txt"
nodelist:
- della-i14g1
- della-i14g2
- della-i14g3
- della-i14g4
- della-i14g5
- della-i14g6
- della-i14g7
- della-i14g8
- della-i14g9
- della-i14g10
- della-i14g11
- della-i14g12
- della-i14g13
- della-i14g14
- della-i14g15
- della-i14g16
- della-i14g17
- della-i14g18
- della-i14g19
- della-i14g20
admin_emails:
#########################################
## MULTINODE CPU FRAGMENTATION (ALERT) ##
#########################################
multinode-cpu-fragmentation-1:
cluster: della
partitions:
- cpu
min_run_time: 10000 # minutes
cores_per_node: 32 # count
cores_fraction: 0.5 # [0, 1]
mem_per_node: 190 # GB
safety_fraction: 0.2 # [0, 1]
email_file: "email/multinode_cpu_fragmentation.txt"
admin_emails:
multinode-cpu-fragmentation-2:
cluster: della
partitions:
- physics
min_run_time: 61 # minutes
cores_per_node: 40 # count
cores_fraction: 0.8 # [0, 1]
mem_per_node: 380 # GB
safety_fraction: 0.2 # [0, 1]
email_file: "email/multinode_cpu_fragmentation.txt"
admin_emails:
multinode-cpu-fragmentation-3:
cluster: stellar
partitions:
- all
- pppl
- pu
min_run_time: 61 # minutes
cores_per_node: 96 # count
cores_fraction: 0.8 # [0, 1]
mem_per_node: 768 # GB
safety_fraction: 0.2 # [0, 1]
email_file: "email/multinode_cpu_fragmentation.txt"
admin_emails:
#########################################
## MULTINODE GPU FRAGMENTATION (ALERT) ##
#########################################
multinode-gpu-fragmentation-1:
cluster: della
partitions:
- pli
- pli-c
- pli-p
- pli-lc
gpus_per_node: 8 # count
min_run_time: 61 # minutes
email_file: "email/multinode_gpu_fragmentation.txt"
admin_emails:
multinode-gpu-fragmentation-2:
cluster: della
partitions:
- gpu
gpus_per_node: 2 # count
min_run_time: 61 # minutes
email_file: "email/multinode_gpu_fragmentation_2.txt"
admin_emails:
########################
## LOW CPU EFFICIENCY ##
########################
low-cpu-efficiency-1:
cluster: della
partitions:
- cpu
eff_thres_pct: 60 # percent
eff_target_pct: 90 # percent
proportion_thres_pct: 2 # percent
absolute_thres_hours: 50 # cpu-hours
num_top_users: 15 # count
min_run_time: 30 # minutes
email_file: "email/low_cpu_efficiency.txt"
admin_emails:
low-cpu-efficiency-2:
cluster: della
partitions:
- physics
eff_thres_pct: 50 # percent
eff_target_pct: 90 # percent
proportion_thres_pct: 2 # percent
absolute_thres_hours: 100 # cpu-hours
num_top_users: 3 # count
min_run_time: 30 # minutes
email_file: "email/low_cpu_efficiency.txt"
admin_emails:
low-cpu-efficiency-3:
cluster: stellar
partitions:
- all
- pppl
- pu
- serial
eff_thres_pct: 60 # percent
eff_target_pct: 90 # percent
proportion_thres_pct: 2 # percent
absolute_thres_hours: 50 # cpu-hours
num_top_users: 15 # count
min_run_time: 30 # minutes
email_file: "email/low_cpu_efficiency.txt"
excluded_users:
- aturing
- hejia
- einstein
admin_emails:
########################
## LOW GPU EFFICIENCY ##
########################
low-gpu-efficiency-1:
cluster: della
partitions:
- gpu
eff_thres_pct: 15 # percent
eff_target_pct: 50 # percent
proportion_thres_pct: 2 # percent
absolute_thres_hours: 50 # gpu-hours
num_top_users: 15 # count
min_run_time: 30 # minutes
email_file: "email/low_gpu_efficiency.txt"
admin_emails:
low-gpu-efficiency-2:
cluster: della
partitions:
- pli-c
eff_thres_pct: 40 # percent
eff_target_pct: 75 # percent
proportion_thres_pct: 2 # percent
absolute_thres_hours: 168 # gpu-hours
num_top_users: 5 # count
min_run_time: 30 # minutes
email_file: "email/low_gpu_efficiency.txt"
admin_emails:
low-gpu-efficiency-3:
cluster: della
partitions:
- pli # campus, low priority
- pli-p # campus, higher priority than pli
- pli-lc # large campus
eff_thres_pct: 40 # percent
eff_target_pct: 75 # percent
proportion_thres_pct: 2 # percent
absolute_thres_hours: 168 # gpu-hours
num_top_users: 3 # count
min_run_time: 30 # minutes
email_file: "email/low_gpu_efficiency.txt"
excluded_users:
- aturing
- einstein
admin_emails:
###################################################
## SERIAL CODE ALLOCATING MULTIPLE CORES (ALERT) ##
###################################################
serial-allocating-multiple-1:
cluster: della
partitions:
- cpu
cores_per_node: 32 # (optional)
min_run_time: 61 # minutes
cpu_hours_threshold: 100 # cpu-hours
lower_ratio: 0.85 # [0, 1]
num_top_users: 5
email_file: "email/serial_allocating_multiple.txt"
admin_emails:
########################
## EXCESS TIME LIMITS ##
########################
excessive-time-1:
cluster: della
partitions:
- cpu
min_run_time: 61 # minutes
absolute_thres_hours: 10000 # cpu-hours
mean_ratio_threshold: 20 # [0%, 100%]
median_ratio_threshold: 20 # [0%, 100%]
num_top_users: 5
num_jobs_display: 10
email_file: "email/excessive_time.txt"
admin_emails:
#######################
## EXCESS CPU MEMORY ##
#######################
excess-cpu-memory-1:
cluster: della
partitions:
- cpu
min_run_time: 30 # minutes
cores_per_node: 32 # count
cores_fraction: 0.8 # [0, 1]
mem_per_node: 190 # GB
tb_hours_threshold: 65 # TB-hours
ratio_threshold: 0.35
mean_ratio_threshold: 0.35
median_ratio_threshold: 0.35
num_top_users: 10
num_jobs_display: 10
email_file: "email/excess_cpu_memory.txt"
excluded_users:
- aturing
- einstein
- vonholdt
admin_emails:
#e
xcess-cpu-memory-2:
cluster: della
partitions:
- datasci
min_run_time: 61 # minutes
cores_per_node: 10000
mem_per_core_default: 5.0
tb_hours_per_day: 10000
ratio_threshold: 0.25
mean_ratio_threshold: 0.25
median_ratio_threshold: 0.25
num_top_users: 10
num_jobs_display: 10
email_file: "email/excess_cpu_memory.txt"
excluded_users:
- aturing
- einstein
admin_emails:
#e
xcess-cpu-memory-3:
cluster: stellar
partitions:
- all
- pppl
- pu
- serial
min_run_time: 61 # minutes
cores_per_node: 76.8 # 0.8 * 96
mem_per_core_default: 8.0 # 768.0 / 96
tb_hours_per_day: 10000
ratio_threshold: 0.25
mean_ratio_threshold: 0.25
median_ratio_threshold: 0.25
num_top_users: 5
num_jobs_display: 10
email_file: "email/excess_cpu_memory.txt"
excluded_users:
- aturing
- einstein
admin_emails: