Commit 956abea5 authored by Andreas Schmidt's avatar Andreas Schmidt
Browse files

Merge branch 'develop'

parents 96a298a8 5ba62919
*.ipynb filter=nbstripout
*.ipynb diff=ipynb
build/
dist/
xlap.egg-info/
.ipynb_checkpoints/
\ No newline at end of file
.ipynb_checkpoints/
.venv/
[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true
[dev-packages]
[packages]
jupyter = "*"
matplotlib = "*"
pandas = "*"
numpy = "*"
scipy = "*"
ruamel-yaml = "*"
scikit-learn = "*"
graphviz = "*"
jupyterlab = "*"
nbstripout = "*"
nbconvert = "*"
[requires]
python_version = "3.6"
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%% Cell type:markdown id: tags:
# X-Lap in Action
%% Cell type:markdown id: tags:
## Imports
%% Cell type:code id: tags:
``` python
import logging
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgets
from xlap.parse import evaluate, evaluate_side, parse_config
import xlap.analyse.jitter as jitter
from xlap.analyse.regress import linear as linear_regression
from xlap.analyse.trace import traces
from xlap.analyse.correlation import correlation
from xlap.analyse.latency import analyse
import pandas as pd
%matplotlib inline
```
%% Cell type:markdown id: tags:
## Data Retrieval
%% Cell type:code id: tags:
``` python
from xlap.parse import evaluate, parse_config
config = parse_config()
data_files = config["data_files"]
original = evaluate(data_files["sender"], data_files["receiver"], config=config, kind=0)
data_files = {
"sender": "rtn2018/20180417_testbed/",
"receiver": "rtn2018/20180417_testbed/"
}
df_1GHz = evaluate(data_files["sender"] + "sender-1000000.csv", data_files["receiver"] + "receiver-1000000.csv", config=config, kind=0)
df_1GHz.name = "1GHz"
df_2GHz = evaluate(data_files["sender"] + "sender-2000000.csv", data_files["receiver"] + "receiver-2000000.csv", config=config, kind=0)
df_2GHz.name = "2GHz"
df_3GHz = evaluate(data_files["sender"] + "sender-3000000.csv", data_files["receiver"] + "receiver-3000000.csv", config=config, kind=0)
df_3GHz.name = "3GHz"
dfs = [df_1GHz, df_2GHz, df_3GHz]
```
%% Cell type:markdown id: tags:
## Traces
## Individual Packet Traces
%% Cell type:code id: tags:
``` python
traces(original, config)
from xlap.analyse.trace import traces
traces(df_1GHz, config, global_xaxis=True)
```
%% Cell type:markdown id: tags:
## Jitter Analysis
## Trace Jitter Analysis
%% Cell type:code id: tags:
``` python
df = jitter.prep(original, config=config)
jitter.trace_jitter(df, threshold=500)
from xlap.analyse.jitter import multi_trace_jitter
multi_trace_jitter(dfs, config)
```
%% Cell type:markdown id: tags:
## Correlation
## Latency Distributions
%% Cell type:code id: tags:
``` python
correlation(df[df["EndToEnd_D"] < 500], config)
from xlap.analyse.cdf import multi_cdf
from xlap.analyse.util import colors
import copy
cfg = copy.deepcopy(config)
list(map(cfg["durations"].pop, ("Decoding",
"ReceiverIPC",
"HandlePacket",
"Feedback",
"SenderIPC",
"SenderEnqueued",
"Enqueue")))
multi_cdf(dfs, cfg, colors=colors)
```
%% Cell type:markdown id: tags:
## Correlation with E2E Latency
%% Cell type:code id: tags:
``` python
from xlap.analyse.correlation import multi_correlation
multi_correlation(dfs, config, colors=colors, figsize=(3.0,2.0), cols=4)
```
%% Cell type:markdown id: tags:
# $\Delta$elta
## Latency Criticality
%% Cell type:code id: tags:
``` python
d = analyse(original, config)
from xlap.analyse.latency import analyse
d = analyse(df_1GHz, config)
```
%% Cell type:markdown id: tags:
### Correlations
%% Cell type:code id: tags:
``` python
d.corr.sort_values(ascending=False)
```
%% Cell type:markdown id: tags:
### Control Flow Graph
%% Cell type:code id: tags:
``` python
d.cfg
```
%% Cell type:markdown id: tags:
## Timing Behaviour
%% Cell type:code id: tags:
``` python
from xlap.analyse.timing import timing_behaviour
timing_behaviour(df_1GHz, df_2GHz, config)
```
%% Cell type:code id: tags:
``` python
timing_behaviour(df_1GHz, df_3GHz, config)
```
%% Cell type:code id: tags:
``` python
timing_behaviour(df_2GHz, df_3GHz, config)
```
......
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1 40.112488 0.28655806569935959455261300
2 37.635804 0.13545612357162314105068459
3 44.867554 0.15736979554175162807913194
Setting cpu: 0
Setting cpu: 1
Setting cpu: 2
Setting cpu: 3
Setting cpu: 4
Setting cpu: 5
Setting cpu: 6
Setting cpu: 7
analyzing CPU 0:
996816
analyzing CPU 1:
998867
analyzing CPU 2:
999414
analyzing CPU 3:
997363
analyzing CPU 4:
1000507
analyzing CPU 5:
999687
analyzing CPU 6:
1000234
analyzing CPU 7:
997089
Setting cpu: 0
Setting cpu: 1
Setting cpu: 2
Setting cpu: 3
Setting cpu: 4
Setting cpu: 5
Setting cpu: 6
Setting cpu: 7
analyzing CPU 0:
925859
analyzing CPU 1:
1000097
analyzing CPU 2:
999960
analyzing CPU 3:
993535
analyzing CPU 4:
1000371
analyzing CPU 5:
998046
analyzing CPU 6:
993261
analyzing CPU 7:
992578
RAPL::Package energy {0}: 16.163391J
RAPL::PowerPlane0 (core) {0}: 1.458923J
RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
RAPL::DRAM energy {0}: 4.892883J
Time: 5.087s
Found Haswell CPU
RAPL::Package energy {0}: 23.949097J
RAPL::PowerPlane0 (core) {0}: 1.922913J
RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
RAPL::DRAM energy {0}: 5.827271J
Time: 5.729s
Found Haswell CPU
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