.gitattributes

+*.ipynb filter=nbstripout
+
+*.ipynb diff=ipynb

.gitignore

 build/
 dist/
 xlap.egg-info/
-.ipynb_checkpoints/
\ No newline at end of file
+.ipynb_checkpoints/
+.venv/

Pipfile

+[[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"

notebook.ipynb

@@ -7,41 +7,48 @@
     "# X-Lap in Action"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Imports"
+    "## Data Retrieval"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "import logging\n",
-    "logger = logging.getLogger()\n",
-    "logger.setLevel(logging.DEBUG)\n",
-    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
-    "import ipywidgets as widgets\n",
-    "from xlap.parse import evaluate, evaluate_side, parse_config\n",
-    "import xlap.analyse.jitter as jitter\n",
-    "from xlap.analyse.regress import linear as linear_regression\n",
-    "from xlap.analyse.trace import traces\n",
-    "from xlap.analyse.correlation import correlation\n",
-    "from xlap.analyse.latency import analyse\n",
-    "import pandas as pd\n",
-    "%matplotlib inline"
+    "from xlap.parse import evaluate, parse_config\n",
+    "config = parse_config()\n",
+    "data_files = {\n",
+    "    \"sender\": \"rtn2018/20180417_testbed/\",\n",
+    "    \"receiver\": \"rtn2018/20180417_testbed/\"\n",
+    "}\n",
+    "df_1GHz = evaluate(data_files[\"sender\"] + \"sender-1000000.csv\", data_files[\"receiver\"] + \"receiver-1000000.csv\", config=config, kind=0)\n",
+    "df_1GHz.name = \"1GHz\"\n",
+    "df_2GHz = evaluate(data_files[\"sender\"] + \"sender-2000000.csv\", data_files[\"receiver\"] + \"receiver-2000000.csv\", config=config, kind=0)\n",
+    "df_2GHz.name = \"2GHz\"\n",
+    "df_3GHz = evaluate(data_files[\"sender\"] + \"sender-3000000.csv\", data_files[\"receiver\"] + \"receiver-3000000.csv\", config=config, kind=0)\n",
+    "df_3GHz.name = \"3GHz\"\n",
+    "dfs = [df_1GHz, df_2GHz, df_3GHz]"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Data Retrieval"
+    "## Individual Packet Traces"
    ]
   },
   {
@@ -50,16 +57,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "config = parse_config()\n",
-    "data_files = config[\"data_files\"]\n",
-    "original = evaluate(data_files[\"sender\"], data_files[\"receiver\"], config=config, kind=0)"
+    "from xlap.analyse.trace import traces\n",
+    "traces(df_1GHz, config, global_xaxis=True)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Traces"
+    "## Trace Jitter Analysis"
    ]
   },
   {
@@ -68,14 +74,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "traces(original, config)"
+    "from xlap.analyse.jitter import multi_trace_jitter\n",
+    "multi_trace_jitter(dfs, config)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Jitter Analysis"
+    "## Latency Distributions"
    ]
   },
   {
@@ -84,15 +91,25 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = jitter.prep(original, config=config)\n",
-    "jitter.trace_jitter(df, threshold=500)"
+    "from xlap.analyse.cdf import multi_cdf\n",
+    "from xlap.analyse.util import colors\n",
+    "import copy\n",
+    "cfg = copy.deepcopy(config)\n",
+    "list(map(cfg[\"durations\"].pop, (\"Decoding\",\n",
+    "                                \"ReceiverIPC\",\n",
+    "                                \"HandlePacket\", \n",
+    "                                \"Feedback\", \n",
+    "                                \"SenderIPC\",\n",
+    "                                \"SenderEnqueued\",\n",
+    "                                \"Enqueue\")))\n",
+    "multi_cdf(dfs, cfg, colors=colors)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Correlation"
+    "## Correlation with E2E Latency"
    ]
   },
   {
@@ -101,15 +118,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "correlation(df[df[\"EndToEnd_D\"] < 500], config)"
+    "from xlap.analyse.correlation import multi_correlation\n",
+    "multi_correlation(dfs, config, colors=colors, figsize=(3.0,2.0), cols=4)"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "source": [
+    "# $\\Delta$elta\n",
     "## Latency Criticality"
    ]
   },
@@ -119,7 +136,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "d = analyse(original, config)"
+    "from xlap.analyse.latency import analyse\n",
+    "d = analyse(df_1GHz, config)"
    ]
   },
   {
@@ -153,6 +171,41 @@
    "source": [
     "d.cfg"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Timing Behaviour"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from xlap.analyse.timing import timing_behaviour\n",
+    "timing_behaviour(df_1GHz, df_2GHz, config)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "timing_behaviour(df_1GHz, df_3GHz, config)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "timing_behaviour(df_2GHz, df_3GHz, config)"
+   ]
   }
  ],
  "metadata": {
@@ -171,21 +224,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
-  },
-  "widgets": {
-   "state": {
-    "df95aa8c42974dfeaf8e0a2c05100645": {
-     "views": [
-      {
-       "cell_index": 6
-      }
-     ]
-    }
-   },
-   "version": "1.2.0"
+   "version": "3.6.8"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

rtn2018/20180419_energy/data.txt

+
+1 40.112488 0.28655806569935959455261300
+2 37.635804 0.13545612357162314105068459
+3 44.867554 0.15736979554175162807913194

rtn2018/20180419_energy/energy-1000000.txt

+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

rtn2018/20180419_energy/energy-2000000.txt

+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:
+1999921
+analyzing CPU 1:
+2000058
+analyzing CPU 2:
+1899980
+analyzing CPU 3:
+1999921
+analyzing CPU 4:
+1903125
+analyzing CPU 5:
+1970664
+analyzing CPU 6:
+1390976
+analyzing CPU 7:
+1978457
+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:
+1998964
+analyzing CPU 1:
+1949746
+analyzing CPU 2:
+1915156
+analyzing CPU 3:
+1999921
+analyzing CPU 4:
+2000605
+analyzing CPU 5:
+1938535
+analyzing CPU 6:
+1998007
+analyzing CPU 7:
+1996093
+RAPL::Package energy {0}: 15.436951J
+RAPL::PowerPlane0 (core) {0}: 2.320251J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 4.621643J
+Time: 4.858s
+Found Haswell CPU
+RAPL::Package energy {0}: 22.198853J
+RAPL::PowerPlane0 (core) {0}: 2.989563J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 5.706726J
+Time: 5.616s
+Found Haswell CPU

rtn2018/20180419_energy/energy-3000000.txt

+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:
+3000019
+analyzing CPU 1:
+3000019
+analyzing CPU 2:
+2999746
+analyzing CPU 3:
+2999882
+analyzing CPU 4:
+3000429
+analyzing CPU 5:
+3000156
+analyzing CPU 6:
+3000703
+analyzing CPU 7:
+3000429
+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:
+2901445
+analyzing CPU 1:
+2904726
+analyzing CPU 2:
+2873554
+analyzing CPU 3:
+2983886
+analyzing CPU 4:
+2900078
+analyzing CPU 5:
+2909375
+analyzing CPU 6:
+2860019
+analyzing CPU 7:
+2907050
+RAPL::Package energy {0}: 21.381104J
+RAPL::PowerPlane0 (core) {0}: 5.176331J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 4.532715J
+Time: 4.759s
+Found Haswell CPU
+RAPL::Package energy {0}: 23.486450J
+RAPL::PowerPlane0 (core) {0}: 4.465149J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 5.348450J
+Time: 5.553s
+Found Haswell CPU

rtn2018/20180419_energy/plot-energy-efficiency.sh

+
+gnuplot="gnuplot"
+format="png"
+
+
+echo "
+set term $format
+set output 'energy-efficiency.$format'
+set boxwidth 0.5
+set yrange [0:]
+set xtic 1
+set ylabel 'Per-package ET² (nJs²)'
+set xlabel 'Processor speed (GHz)'
+set style fill solid
+set nokey
+plot 'data.txt' using 1:3:xtic(1) with boxes" | $gnuplot

rtn2018/20180419_energy/table.txt

+
+packets per sample: 4095
+
+freq/kHz   avg e2e latency/us    total energy/J   avg packet energy/mJ      avg packet ET²/nJs²
+========   ==================    ============     =======================   ============================
+1000000    171.03833943833945    40.112488        9.79547936507936507936    0.28655806569935959455261300
+2000000    121.40195360195361    37.635804        9.19067252747252747252    0.13545612357162314105068459
+3000000    119.84542124542125    44.867554        10.95666764346764346764   0.15736979554175162807913194
+

rtn2018/20180420_base1/energy-1000000.txt

+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:
+1005566
+analyzing CPU 1:
+1000097
+analyzing CPU 2:
+995859
+analyzing CPU 3:
+999003
+analyzing CPU 4:
+987929
+analyzing CPU 5:
+1000097
+analyzing CPU 6:
+998867
+analyzing CPU 7:
+999960
+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:
+999960
+analyzing CPU 1:
+997910
+analyzing CPU 2:
+1000097
+analyzing CPU 3:
+3000156
+analyzing CPU 4:
+1000097
+analyzing CPU 5:
+905488
+analyzing CPU 6:
+2581250
+analyzing CPU 7:
+1005429
+RAPL::Package energy {0}: 0.870178J
+RAPL::PowerPlane0 (core) {0}: 0.098694J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 0.529358J
+Time: 0.540s
+Found Haswell CPU
+RAPL::Package energy {0}: 5.580688J
+RAPL::PowerPlane0 (core) {0}: 0.189087J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 1.984375J
+Time: 2.137s
+Found Haswell CPU

rtn2018/20180420_base1/energy-2000000.txt

+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:
+1999921
+analyzing CPU 1:
+1986386
+analyzing CPU 2:
+1999921
+analyzing CPU 3:
+1989257
+analyzing CPU 4:
+1999921
+analyzing CPU 5:
+1813300
+analyzing CPU 6:
+2000058
+analyzing CPU 7:
+2000058
+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:
+2000058
+analyzing CPU 1:
+2000195
+analyzing CPU 2:
+1999921
+analyzing CPU 3:
+1899980
+analyzing CPU 4:
+1937578
+analyzing CPU 5:
+1818359
+analyzing CPU 6:
+1999921
+analyzing CPU 7:
+2000332
+RAPL::Package energy {0}: 1.559082J
+RAPL::PowerPlane0 (core) {0}: 0.370239J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 0.410339J
+Time: 0.402s
+Found Haswell CPU
+RAPL::Package energy {0}: 5.509460J
+RAPL::PowerPlane0 (core) {0}: 0.294189J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 1.947327J
+Time: 2.127s
+Found Haswell CPU

rtn2018/20180420_base1/energy-3000000.txt

+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:
+2956816
+analyzing CPU 1:
+3000019
+analyzing CPU 2:
+2999882
+analyzing CPU 3:
+3000019
+analyzing CPU 4:
+3000429
+analyzing CPU 5:
+3000019
+analyzing CPU 6:
+3001250
+analyzing CPU 7:
+3000019
+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:
+2900761
+analyzing CPU 1:
+2941367
+analyzing CPU 2:
+2899804
+analyzing CPU 3:
+2899941
+analyzing CPU 4:
+2900214
+analyzing CPU 5:
+3000976
+analyzing CPU 6:
+2962421
+analyzing CPU 7:
+2913886
+RAPL::Package energy {0}: 0.902710J
+RAPL::PowerPlane0 (core) {0}: 0.266296J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 0.333801J
+Time: 0.342s
+Found Haswell CPU
+RAPL::Package energy {0}: 3.613647J
+RAPL::PowerPlane0 (core) {0}: 0.369873J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 1.892212J
+Time: 2.119s
+Found Haswell CPU

rtn2018/20180420_base2/energy-1000000.txt

+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:
+999960
+analyzing CPU 1:
+997773
+analyzing CPU 2:
+998593
+analyzing CPU 3:
+992304
+analyzing CPU 4:
+1000097
+analyzing CPU 5:
+999960
+analyzing CPU 6:
+999003
+analyzing CPU 7:
+999960
+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:
+980000
+analyzing CPU 1:
+999140
+analyzing CPU 2:
+999960
+analyzing CPU 3:
+992851
+analyzing CPU 4:
+1000507
+analyzing CPU 5:
+999414
+analyzing CPU 6:
+1165253
+analyzing CPU 7:
+3001386
+RAPL::Package energy {0}: 1.098145J
+RAPL::PowerPlane0 (core) {0}: 0.086792J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 0.536743J
+Time: 0.545s
+Found Haswell CPU
+RAPL::Package energy {0}: 4.516418J
+RAPL::PowerPlane0 (core) {0}: 0.168518J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 1.967102J
+Time: 2.135s
+Found Haswell CPU

rtn2018/20180420_base2/energy-2000000.txt

+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:
+1999921
+analyzing CPU 1:
+1999921
+analyzing CPU 2:
+1999921
+analyzing CPU 3:
+1999921
+analyzing CPU 4:
+1999921
+analyzing CPU 5:
+2000605
+analyzing CPU 6:
+2000195
+analyzing CPU 7:
+2000058
+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:
+2000195
+analyzing CPU 1:
+1965742
+analyzing CPU 2:
+1999921
+analyzing CPU 3:
+1995546
+analyzing CPU 4:
+1900117
+analyzing CPU 5:
+2000058
+analyzing CPU 6:
+1975859
+analyzing CPU 7:
+2000058
+RAPL::Package energy {0}: 1.880432J
+RAPL::PowerPlane0 (core) {0}: 0.245728J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 0.388733J
+Time: 0.393s
+Found Haswell CPU
+RAPL::Package energy {0}: 3.394165J
+RAPL::PowerPlane0 (core) {0}: 0.222961J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 1.916870J
+Time: 2.123s
+Found Haswell CPU

rtn2018/20180420_base2/energy-3000000.txt

+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:
+2985937
+analyzing CPU 1:
+3000019
+analyzing CPU 2:
+3000019
+analyzing CPU 3:
+3000019
+analyzing CPU 4:
+3000429
+analyzing CPU 5:
+3000566
+analyzing CPU 6:
+3000839
+analyzing CPU 7:
+3000019
+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:
+2439199
+analyzing CPU 1:
+2908417
+analyzing CPU 2:
+2899941
+analyzing CPU 3:
+2899941
+analyzing CPU 4:
+2901035
+analyzing CPU 5:
+2914707
+analyzing CPU 6:
+2915937
+analyzing CPU 7:
+2976777
+RAPL::Package energy {0}: 1.032043J
+RAPL::PowerPlane0 (core) {0}: 0.267639J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 0.346741J
+Time: 0.350s
+Found Haswell CPU
+RAPL::Package energy {0}: 3.479919J
+RAPL::PowerPlane0 (core) {0}: 0.330322J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 1.913147J
+Time: 2.122s
+Found Haswell CPU

rtn2018/20180420_changed/energy-1000000.txt

+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:
+999960
+analyzing CPU 1:
+999003
+analyzing CPU 2:
+999960
+analyzing CPU 3:
+999960
+analyzing CPU 4:
+1000234
+analyzing CPU 5:
+1000234
+analyzing CPU 6:
+1000234
+analyzing CPU 7:
+999960
+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:
+999960
+analyzing CPU 1:
+999960
+analyzing CPU 2:
+999960
+analyzing CPU 3:
+999960
+analyzing CPU 4:
+1000097
+analyzing CPU 5:
+1038652
+analyzing CPU 6:
+3001796
+analyzing CPU 7:
+1051503
+RAPL::Package energy {0}: 1.036438J
+RAPL::PowerPlane0 (core) {0}: 0.098511J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 0.543701J
+Time: 0.553s
+Found Haswell CPU
+RAPL::Package energy {0}: 7.184692J
+RAPL::PowerPlane0 (core) {0}: 0.268005J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 2.001587J
+Time: 2.143s
+Found Haswell CPU

rtn2018/20180420_changed/energy-2000000.txt

+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:
+1999921
+analyzing CPU 1:
+2000058
+analyzing CPU 2:
+1999921
+analyzing CPU 3:
+1999375
+analyzing CPU 4:
+2000058
+analyzing CPU 5:
+2000742
+analyzing CPU 6:
+2000058
+analyzing CPU 7:
+1999375
+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:
+1899980
+analyzing CPU 1:
+1905312
+analyzing CPU 2:
+1899980
+analyzing CPU 3:
+1903945
+analyzing CPU 4:
+1900390
+analyzing CPU 5:
+1902851
+analyzing CPU 6:
+1975312
+analyzing CPU 7:
+1132851
+RAPL::Package energy {0}: 0.947144J
+RAPL::PowerPlane0 (core) {0}: 0.175781J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 0.400391J
+Time: 0.410s
+Found Haswell CPU
+RAPL::Package energy {0}: 4.487610J
+RAPL::PowerPlane0 (core) {0}: 0.260498J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 1.959290J
+Time: 2.141s
+Found Haswell CPU

rtn2018/20180420_changed/energy-3000000.txt

+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:
+3000019
+analyzing CPU 1:
+3000019
+analyzing CPU 2:
+3000156
+analyzing CPU 3:
+3000019
+analyzing CPU 4:
+3000839
+analyzing CPU 5:
+3000429
+analyzing CPU 6:
+3000292
+analyzing CPU 7:
+3000976
+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:
+2914707
+analyzing CPU 1:
+2908417
+analyzing CPU 2:
+2975136
+analyzing CPU 3:
+3000156
+analyzing CPU 4:
+2901171
+analyzing CPU 5:
+3000156
+analyzing CPU 6:
+3001660
+analyzing CPU 7:
+3000839
+RAPL::Package energy {0}: 1.170532J
+RAPL::PowerPlane0 (core) {0}: 0.287659J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 0.362305J
+Time: 0.367s
+Found Haswell CPU
+RAPL::Package energy {0}: 3.496399J
+RAPL::PowerPlane0 (core) {0}: 0.312683J
+RAPL::PowerPlane1 (on-core GPU if avail) {0}: 0.000000J
+RAPL::DRAM energy {0}: 1.928345J
+Time: 2.138s
+Found Haswell CPU

set-processor-speed.sh

+#!/bin/sh
+
+# Script to "fix" the cpu performance to a given frequency
+
+self="$0"
+
+## sudo cpupower -c 0-3 frequency-set -d 1000000 -u 1000000 && sudo cpupower -c 0-3 frequency-info -f
+
+die() {
+	echo >&2 "$@"
+	exit 1
+}
+
+need() {
+	which "$1" >/dev/null 2>/dev/null || die "need executable: $1"
+}
+
+need cpupower
+need nproc
+need sleep
+need cat
+need id
+
+uid=$(id -u)
+
+numproc=$(nproc)
+maxproc=$(($numproc - 1))
+
+
+if [ "$uid" -ne 0 ]; then
+	die "not root"
+fi
+
+if [ -z "$1" ]; then
+	min=$(cat /sys/devices/system/cpu/cpu0/cpufreq/cpuinfo_min_freq)
+	max=$(cat /sys/devices/system/cpu/cpu0/cpufreq/cpuinfo_max_freq)
+else
+	min="$1"
+	max="$1"
+fi
+
+cpupower -c "0-$maxproc" frequency-set -d "$min" -u "$max"
+sleep 1
+cpupower -c "0-$maxproc" frequency-info -f

turbo-boost.sh

+#!/bin/sh
+
+# activate or deactivate turbo boost
+
+self="$0"
+
+die() {
+	echo >&2 "$@"
+	exit 1
+}
+
+usage() {
+	die "usage: $self [a|d]"
+}
+
+uid=$(id -u)
+
+if [ "$uid" -ne 0 ]; then
+	die "not root"
+fi
+
+case "$1" in
+a*) echo 0 >/sys/devices/system/cpu/intel_pstate/no_turbo ;;
+d*) echo 1 >/sys/devices/system/cpu/intel_pstate/no_turbo ;;
+*) usage ;;
+esac
+

xlap.c

 #define XLAP
 #include "xlap.h"
 
-#include <stdatomic.h>
 
 void XlapTimestampTableDumpHeader(FILE *out)
 {

xlap.h

@@ -5,6 +5,13 @@
 #include <stdint.h>
 #include <time.h>
 
+#ifndef __cplusplus
+# include <stdatomic.h>
+#else
+# include <atomic>
+# define _Atomic(X) std::atomic< X >
+#endif
+
 /*
  * Each timestamp contains both a cycle value and a time value, but some values
  * might remain zero
@@ -64,6 +71,7 @@ typedef enum XlapTimestampPacketKind {
     ts_data_packet = 0,
     ts_any_packet = 0,
     ts_redundancy_packet = 1,
+    ts_feedback_packet = 2
 } XlapTimestampPacketKind;
 
 /*
@@ -102,14 +110,12 @@ typedef struct XlapTimestampPlaceholder {
 #else /* XLAP */
 typedef char XlapTimestampPlaceholder;
 #endif
-
 /*
  * update the clock value of a timestamp by setting an explicit value
  *
  * This macro will cause a SIGSEGV if the application does not install a
  * timestamp table to the socket.
  */
-
 #ifdef XLAP
 #	define XlapTimeStampValue(sck, kind, seqno, id, value) do { \
             atomic_load_explicit(&(sck)->tstable[kind], memory_order_acquire)->rows[(seqno) % TS_ROWS].time[ts_##id].actual.t = value; \

xlap.yml

 data_files:
-    sender: "nsdi2018/results/2018_02_14_12_57_01_sender.csv"
-    receiver: "nsdi2018/results/2018_02_14_12_57_01_receiver.csv"
+    sender: "rtn2018/20180417_testbed/sender.csv"
+    receiver: "rtn2018/20180417_testbed/receiver.csv"
 threads:
     - app_send
     - trans_send
@@ -39,6 +39,14 @@ stamps:
         Source: sender
         Thread: app_send
         Type: time
+    PrrtSendPacketStart:
+        Source: sender
+        Thread: trans_send
+        Type: none
+    PrrtSendPacketEnd:
+        Source: sender
+        Thread: trans_send
+        Type: none
 
     PrrtTransmitStart:
         Source: sender

xlap/analyse/cdf.py

+import math
+import numpy as np
+from .util import cdf, extract_durations
+import matplotlib.pyplot as plt
+
+def multi_cdf(dfs, config, export=False, file_name="CDF.pdf", figsize= (4,4), cols=3, colors=None):
+    durations = extract_durations(config)
+    durations.remove("EndToEnd")
+
+    rows = int(math.ceil(len(durations) / cols))
+    items = len(durations)
+    fig, axes = plt.subplots(nrows=rows, ncols=cols)
+    fig.set_size_inches(figsize[0] * cols, figsize[1] * rows, forward=True)
+
+    names = []
+    for df in dfs:
+        names.append(df.name)
+
+    for idx, duration in enumerate(durations):
+        if items > cols:
+            ax = axes[idx // cols, idx % cols]
+        else:
+            ax = axes[idx]
+        for i, df in enumerate(dfs):
+            kwargs = dict()
+            if colors is not None:
+                kwargs["color"] = colors[i]
+            cdf(df[duration + "_D"], grid=True, ax=ax, **kwargs)
+
+        if(idx == 0):
+            ax.legend(names)
+            ax.set_ylabel("CDF")
+        ax.set_xlabel("{} [us]".format(duration))
+    plt.subplots_adjust(wspace=0.3,hspace=0.3)
+
+    plt.tight_layout()
+    if export and file_name is not None:
+        fig.savefig(file_name)
+    plt.show()

xlap/analyse/correlation.py

@@ -3,25 +3,55 @@ import matplotlib.pyplot as plt
 from xlap.analyse.util import extract_durations
 
 
-def correlation(data_frame, config, export=False, file_name="Correlation.pdf"):
-    durations = [x + "_D" for x in extract_durations(config)]
-    durations.remove("EndToEnd_D")
+def corr(df, duration, grid=False, ax=None, color="black", marker="+"):
+    df.plot.scatter(ax=ax,
+                    y="EndToEnd_D",
+                    x=duration + "_D",
+                    grid=grid,
+                    loglog=True,
+                    marker=marker,
+                    color=color)
+
+def corr_multi(dfs, duration, colors=None, **kwargs):
+    if colors is None:
+        colors = ["green","blue","orange"]
+    markers = ["v", "^", ">", "<"]
+    for idf, df in enumerate(dfs):
+        corr(df, duration, color=colors[idf % len(colors)],
+             marker=markers[idf % len(markers)], **kwargs)
+    kwargs["ax"].set_xlabel("{} [us]".format(duration))
+
+
+def multi_correlation(dfs, config, export=False, file_name="MultiCorrelation.pdf", figsize=(5.5,5.5), cols=2, colors=None, **kwargs):
+    durations = extract_durations(config)
+    durations.remove("EndToEnd")
 
-    cols = 4
     rows = int(math.ceil(len(durations) / cols))
+    items = len(durations)
     fig, axes = plt.subplots(nrows=rows, ncols=cols)
-    fig.set_size_inches(4 * cols, 3.5 * rows, forward=True)
+    fig.set_size_inches(figsize[0] * cols, figsize[1] * rows, forward=True)
+
+    names = []
+    for df in dfs:
+        if hasattr(df, "name"):
+            names.append(df.name)
 
-    i = 0
-    for duration in durations:
-        ax = data_frame.plot.scatter(ax=axes[i // cols, i % cols], y="EndToEnd_D", x=duration, grid=True, marker="+",
-                                     color="black")
-        ax.set_ylabel("EndToEnd [us]")
-        ax.margins(0.1, 0.1)
-        ax.set_xlabel("{} [us]".format(duration.replace("_D", "")))
-        i += 1
+    for idx, duration in enumerate(durations):
+