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sepia-pub
Open Science
artifact-tpds24-sched-lightweight-pred-power-constrained-platf
Commits
ca8cf5f9
Commit
ca8cf5f9
authored
1 year ago
by
Millian Poquet
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script: debug wl gen (python json =
)
parent
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scripts-py/expe_energumen/m100_generate_batsim_workload.py
+7
-5
7 additions, 5 deletions
scripts-py/expe_energumen/m100_generate_batsim_workload.py
with
7 additions
and
5 deletions
scripts-py/expe_energumen/m100_generate_batsim_workload.py
+
7
−
5
View file @
ca8cf5f9
...
@@ -2,6 +2,7 @@
...
@@ -2,6 +2,7 @@
import
argparse
import
argparse
from
concurrent.futures
import
ProcessPoolExecutor
from
concurrent.futures
import
ProcessPoolExecutor
import
datetime
import
datetime
from
math
import
isfinite
import
json
import
json
import
os
import
os
import
pandas
as
pd
import
pandas
as
pd
...
@@ -48,12 +49,13 @@ def generate_node_file(job_profile_dir, job_min_dt, job_max_dt, job_node, node_i
...
@@ -48,12 +49,13 @@ def generate_node_file(job_profile_dir, job_min_dt, job_max_dt, job_node, node_i
def
generate_job_power_time_series
(
job_profile_dir
,
job_min_dt
,
job_max_dt
,
job_nodes
,
min_power
):
def
generate_job_power_time_series
(
job_profile_dir
,
job_min_dt
,
job_max_dt
,
job_nodes
,
min_power
):
fname
=
f
'
{
job_profile_dir
}
/dynpower.csv
'
fname
=
f
'
{
job_profile_dir
}
/dynpower.csv
'
static_watts
=
len
(
job_nodes
)
*
min_power
static_watts
=
len
(
job_nodes
)
*
min_power
none_nan_to_idle
=
lambda
x
:
static_watts
if
x
is
None
or
not
isfinite
(
x
)
else
x
# assume that already existing dirs have valid content
# assume that already existing dirs have valid content
if
os
.
path
.
exists
(
job_profile_dir
):
if
os
.
path
.
exists
(
job_profile_dir
):
df
=
pd
.
read_csv
(
fname
)
df
=
pd
.
read_csv
(
fname
)
df
[
'
job_total_dynamic_power
'
]
=
df
[
'
job_total_dynamic_power
'
]
+
static_watts
df
[
'
job_total_dynamic_power
'
]
=
df
[
'
job_total_dynamic_power
'
]
+
static_watts
return
float
(
df
[
'
job_total_dynamic_power
'
].
mean
()),
float
(
df
[
'
job_total_dynamic_power
'
].
max
())
return
none_nan_to_idle
(
float
(
df
[
'
job_total_dynamic_power
'
].
mean
())
)
,
none_nan_to_idle
(
float
(
df
[
'
job_total_dynamic_power
'
].
max
())
)
global
POWER_DF
global
POWER_DF
time_mask
=
(
POWER_DF
[
'
timestamp
'
]
>=
job_min_dt
)
&
(
POWER_DF
[
'
timestamp
'
]
<=
job_max_dt
)
time_mask
=
(
POWER_DF
[
'
timestamp
'
]
>=
job_min_dt
)
&
(
POWER_DF
[
'
timestamp
'
]
<=
job_max_dt
)
...
@@ -61,8 +63,8 @@ def generate_job_power_time_series(job_profile_dir, job_min_dt, job_max_dt, job_
...
@@ -61,8 +63,8 @@ def generate_job_power_time_series(job_profile_dir, job_min_dt, job_max_dt, job_
job_power_df
=
POWER_DF
[
time_mask
&
space_mask
]
job_power_df
=
POWER_DF
[
time_mask
&
space_mask
]
job_summed_power_df
=
job_power_df
.
groupby
(
'
timestamp
'
)[
'
value
'
].
sum
()
job_summed_power_df
=
job_power_df
.
groupby
(
'
timestamp
'
)[
'
value
'
].
sum
()
job_real_power_mean
=
float
(
job_summed_power_df
.
mean
())
job_real_power_mean
=
none_nan_to_idle
(
float
(
job_summed_power_df
.
mean
())
)
job_real_power_max
=
float
(
job_summed_power_df
.
max
())
job_real_power_max
=
none_nan_to_idle
(
float
(
job_summed_power_df
.
max
())
)
# remove static part
# remove static part
job_summed_power_df
=
job_summed_power_df
-
static_watts
job_summed_power_df
=
job_summed_power_df
-
static_watts
...
@@ -228,8 +230,8 @@ def main():
...
@@ -228,8 +230,8 @@ def main():
"
replay_begin_seconds_from_2022-01-01
"
:
{
begin_seconds_since_m100_epoch
}
,
"
replay_begin_seconds_from_2022-01-01
"
:
{
begin_seconds_since_m100_epoch
}
,
"
replay_end_seconds_from_2022-01-01
"
:
{
end_seconds_since_m100_epoch
}
,
"
replay_end_seconds_from_2022-01-01
"
:
{
end_seconds_since_m100_epoch
}
,
"
nb_res
"
: 980,
"
nb_res
"
: 980,
"
jobs
"
:
{
json
.
dumps
(
jobs
,
indent
=
4
)
}
,
"
jobs
"
:
{
json
.
dumps
(
jobs
,
indent
=
4
,
allow_nan
=
False
)
}
,
"
profiles
"
:
{
json
.
dumps
(
profiles
,
indent
=
4
,
sort_keys
=
True
)
}
"
profiles
"
:
{
json
.
dumps
(
profiles
,
indent
=
4
,
sort_keys
=
True
,
allow_nan
=
False
)
}
}}
'''
)
}}
'''
)
match
args
.
profile_type
:
match
args
.
profile_type
:
...
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