| { |
| "cells": [ |
| { |
| "cell_type": "markdown", |
| "metadata": {}, |
| "source": [ |
| "# PCMark benchmark on Android" |
| ] |
| }, |
| { |
| "cell_type": "markdown", |
| "metadata": {}, |
| "source": [ |
| "The goal of this experiment is to run benchmarks on a Pixel device running Android with an EAS kernel and collect results. The analysis phase will consist in comparing EAS with other schedulers, that is comparing *sched* governor with:\n", |
| "\n", |
| " - interactive\n", |
| " - performance\n", |
| " - powersave\n", |
| " - ondemand\n", |
| " \n", |
| "The benchmark we will be using is ***PCMark*** (https://www.futuremark.com/benchmarks/pcmark-android). You will need to **manually install** the app on the Android device in order to run this Notebook.\n", |
| "\n", |
| "When opinening PCMark for the first time you will need to Install the work benchmark from inside the app." |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 1, |
| "metadata": { |
| "collapsed": false |
| }, |
| "outputs": [ |
| { |
| "name": "stderr", |
| "output_type": "stream", |
| "text": [ |
| "2016-12-12 13:09:13,035 INFO : root : Using LISA logging configuration:\n", |
| "2016-12-12 13:09:13,035 INFO : root : /home/vagrant/lisa/logging.conf\n" |
| ] |
| } |
| ], |
| "source": [ |
| "import logging\n", |
| "from conf import LisaLogging\n", |
| "LisaLogging.setup()" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 2, |
| "metadata": { |
| "collapsed": false |
| }, |
| "outputs": [ |
| { |
| "name": "stdout", |
| "output_type": "stream", |
| "text": [ |
| "Populating the interactive namespace from numpy and matplotlib\n" |
| ] |
| } |
| ], |
| "source": [ |
| "%pylab inline\n", |
| "\n", |
| "import copy\n", |
| "import os\n", |
| "from time import sleep\n", |
| "from subprocess import Popen\n", |
| "import pandas as pd\n", |
| "\n", |
| "# Support to access the remote target\n", |
| "import devlib\n", |
| "from env import TestEnv\n", |
| "\n", |
| "# Support for trace events analysis\n", |
| "from trace import Trace\n", |
| "\n", |
| "# Suport for FTrace events parsing and visualization\n", |
| "import trappy" |
| ] |
| }, |
| { |
| "cell_type": "markdown", |
| "metadata": {}, |
| "source": [ |
| "## Test environment setup\n", |
| "\n", |
| "For more details on this please check out **examples/utils/testenv_example.ipynb**." |
| ] |
| }, |
| { |
| "cell_type": "markdown", |
| "metadata": {}, |
| "source": [ |
| "In case more than one Android device are conencted to the host, you must specify the ID of the device you want to target in `my_target_conf`. Run `adb devices` on your host to get the ID. Also, you have to specify the path to your android sdk in ANDROID_HOME." |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 3, |
| "metadata": { |
| "collapsed": false |
| }, |
| "outputs": [], |
| "source": [ |
| "# Setup a target configuration\n", |
| "my_target_conf = {\n", |
| " \n", |
| " # Target platform and board\n", |
| " \"platform\" : 'android',\n", |
| "\n", |
| " # Add target support\n", |
| " \"board\" : 'pixel',\n", |
| " \n", |
| " # Device ID\n", |
| " \"device\" : \"HT6670300102\",\n", |
| " \n", |
| " \"ANDROID_HOME\" : \"/home/vagrant/lisa/tools/android-sdk-linux/\",\n", |
| " \n", |
| " # Define devlib modules to load\n", |
| " \"modules\" : [\n", |
| " 'cpufreq' # enable CPUFreq support\n", |
| " ],\n", |
| "}" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 4, |
| "metadata": { |
| "collapsed": false, |
| "scrolled": false |
| }, |
| "outputs": [], |
| "source": [ |
| "my_tests_conf = {\n", |
| "\n", |
| " # Folder where all the results will be collected\n", |
| " \"results_dir\" : \"Android_PCMark\",\n", |
| "\n", |
| " # Platform configurations to test\n", |
| " \"confs\" : [\n", |
| " {\n", |
| " \"tag\" : \"pcmark\",\n", |
| " \"flags\" : \"ftrace\", # Enable FTrace events\n", |
| " \"sched_features\" : \"ENERGY_AWARE\", # enable EAS\n", |
| " },\n", |
| " ],\n", |
| "}" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 5, |
| "metadata": { |
| "collapsed": false |
| }, |
| "outputs": [ |
| { |
| "name": "stderr", |
| "output_type": "stream", |
| "text": [ |
| "2016-12-08 17:14:32,454 INFO : TestEnv : Using base path: /home/vagrant/lisa\n", |
| "2016-12-08 17:14:32,455 INFO : TestEnv : Loading custom (inline) target configuration\n", |
| "2016-12-08 17:14:32,456 INFO : TestEnv : Loading custom (inline) test configuration\n", |
| "2016-12-08 17:14:32,457 INFO : TestEnv : External tools using:\n", |
| "2016-12-08 17:14:32,458 INFO : TestEnv : ANDROID_HOME: /home/vagrant/lisa/tools/android-sdk-linux/\n", |
| "2016-12-08 17:14:32,458 INFO : TestEnv : CATAPULT_HOME: /home/vagrant/lisa/tools/catapult\n", |
| "2016-12-08 17:14:32,459 INFO : TestEnv : Loading board:\n", |
| "2016-12-08 17:14:32,460 INFO : TestEnv : /home/vagrant/lisa/libs/utils/platforms/pixel.json\n", |
| "2016-12-08 17:14:32,462 INFO : TestEnv : Devlib modules to load: [u'bl', u'cpufreq']\n", |
| "2016-12-08 17:14:32,463 INFO : TestEnv : Connecting Android target [HT6670300102]\n", |
| "2016-12-08 17:14:32,463 INFO : TestEnv : Connection settings:\n", |
| "2016-12-08 17:14:32,464 INFO : TestEnv : {'device': 'HT6670300102'}\n", |
| "2016-12-08 17:14:32,562 INFO : android : ls command is set to ls -1\n", |
| "2016-12-08 17:14:33,287 INFO : TestEnv : Initializing target workdir:\n", |
| "2016-12-08 17:14:33,288 INFO : TestEnv : /data/local/tmp/devlib-target\n", |
| "2016-12-08 17:14:35,211 INFO : TestEnv : Topology:\n", |
| "2016-12-08 17:14:35,213 INFO : TestEnv : [[0, 1], [2, 3]]\n", |
| "2016-12-08 17:14:35,471 INFO : TestEnv : Loading default EM:\n", |
| "2016-12-08 17:14:35,472 INFO : TestEnv : /home/vagrant/lisa/libs/utils/platforms/pixel.json\n", |
| "2016-12-08 17:14:35,475 WARNING : TestEnv : Wipe previous contents of the results folder:\n", |
| "2016-12-08 17:14:35,475 WARNING : TestEnv : /home/vagrant/lisa/results/Android_PCMark\n", |
| "2016-12-08 17:14:35,476 INFO : TestEnv : Set results folder to:\n", |
| "2016-12-08 17:14:35,476 INFO : TestEnv : /home/vagrant/lisa/results/Android_PCMark\n", |
| "2016-12-08 17:14:35,476 INFO : TestEnv : Experiment results available also in:\n", |
| "2016-12-08 17:14:35,477 INFO : TestEnv : /home/vagrant/lisa/results_latest\n" |
| ] |
| } |
| ], |
| "source": [ |
| "# Initialize a test environment using:\n", |
| "# the provided target configuration (my_target_conf)\n", |
| "# the provided test configuration (my_test_conf)\n", |
| "te = TestEnv(target_conf=my_target_conf, test_conf=my_tests_conf)\n", |
| "target = te.target" |
| ] |
| }, |
| { |
| "cell_type": "markdown", |
| "metadata": {}, |
| "source": [ |
| "## Support Functions" |
| ] |
| }, |
| { |
| "cell_type": "markdown", |
| "metadata": {}, |
| "source": [ |
| "This set of support functions will help us running the benchmark using different CPUFreq governors." |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 6, |
| "metadata": { |
| "collapsed": true |
| }, |
| "outputs": [], |
| "source": [ |
| "def set_performance():\n", |
| " target.cpufreq.set_all_governors('performance')\n", |
| "\n", |
| "def set_powersave():\n", |
| " target.cpufreq.set_all_governors('powersave')\n", |
| "\n", |
| "def set_interactive():\n", |
| " target.cpufreq.set_all_governors('interactive')\n", |
| "\n", |
| "def set_sched():\n", |
| " target.cpufreq.set_all_governors('sched')\n", |
| "\n", |
| "def set_ondemand():\n", |
| " target.cpufreq.set_all_governors('ondemand')\n", |
| " \n", |
| " for cpu in target.list_online_cpus():\n", |
| " tunables = target.cpufreq.get_governor_tunables(cpu)\n", |
| " target.cpufreq.set_governor_tunables(\n", |
| " cpu,\n", |
| " 'ondemand',\n", |
| " **{'sampling_rate' : tunables['sampling_rate_min']}\n", |
| " )" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 7, |
| "metadata": { |
| "collapsed": false |
| }, |
| "outputs": [], |
| "source": [ |
| "# CPUFreq configurations to test\n", |
| "confs = {\n", |
| " 'performance' : {\n", |
| " 'label' : 'prf',\n", |
| " 'set' : set_performance,\n", |
| " },\n", |
| " #'powersave' : {\n", |
| " # 'label' : 'pws',\n", |
| " # 'set' : set_powersave,\n", |
| " #},\n", |
| " 'interactive' : {\n", |
| " 'label' : 'int',\n", |
| " 'set' : set_interactive,\n", |
| " },\n", |
| " #'sched' : {\n", |
| " # 'label' : 'sch',\n", |
| " # 'set' : set_sched,\n", |
| " #},\n", |
| " #'ondemand' : {\n", |
| " # 'label' : 'odm',\n", |
| " # 'set' : set_ondemand,\n", |
| " #}\n", |
| "}\n", |
| "\n", |
| "# The set of results for each comparison test\n", |
| "results = {}" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 8, |
| "metadata": { |
| "collapsed": false |
| }, |
| "outputs": [], |
| "source": [ |
| "#Check if PCMark si available on the device\n", |
| "\n", |
| "def check_packages(pkgname):\n", |
| " try:\n", |
| " output = target.execute('pm list packages -f | grep -i {}'.format(pkgname))\n", |
| " except Exception:\n", |
| " raise RuntimeError('Package: [{}] not availabe on target'.format(pkgname))\n", |
| "\n", |
| "# Check for specified PKG name being available on target\n", |
| "check_packages('com.futuremark.pcmark.android.benchmark')" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 9, |
| "metadata": { |
| "collapsed": true |
| }, |
| "outputs": [], |
| "source": [ |
| "# Function that helps run a PCMark experiment\n", |
| "\n", |
| "def pcmark_run(exp_dir):\n", |
| " # Unlock device screen (assume no password required)\n", |
| " target.execute('input keyevent 82')\n", |
| " # Start PCMark on the target device\n", |
| " target.execute('monkey -p com.futuremark.pcmark.android.benchmark -c android.intent.category.LAUNCHER 1')\n", |
| " # Wait few seconds to make sure the app is loaded\n", |
| " sleep(5)\n", |
| " \n", |
| " # Flush entire log\n", |
| " target.clear_logcat()\n", |
| " \n", |
| " # Run performance workload (assume screen is vertical)\n", |
| " target.execute('input tap 750 1450')\n", |
| " # Wait for completion (10 minutes in total) and collect log\n", |
| " log_file = os.path.join(exp_dir, 'log.txt')\n", |
| " # Wait 5 minutes\n", |
| " sleep(300)\n", |
| " # Start collecting the log\n", |
| " with open(log_file, 'w') as log:\n", |
| " logcat = Popen(['adb logcat', 'com.futuremark.pcmandroid.VirtualMachineState:*', '*:S'],\n", |
| " stdout=log,\n", |
| " shell=True)\n", |
| " # Wait additional two minutes for benchmark to complete\n", |
| " sleep(300)\n", |
| "\n", |
| " # Terminate logcat\n", |
| " logcat.kill()\n", |
| "\n", |
| " # Get scores from logcat\n", |
| " score_file = os.path.join(exp_dir, 'score.txt')\n", |
| " os.popen('grep -o \"PCMA_.*_SCORE .*\" {} | sed \"s/ = / /g\" | sort -u > {}'.format(log_file, score_file))\n", |
| " \n", |
| " # Close application\n", |
| " target.execute('am force-stop com.futuremark.pcmark.android.benchmark')\n", |
| " \n", |
| " return score_file" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 10, |
| "metadata": { |
| "collapsed": false |
| }, |
| "outputs": [], |
| "source": [ |
| "# Function that helps run PCMark for different governors\n", |
| "\n", |
| "def experiment(governor, exp_dir):\n", |
| " os.system('mkdir -p {}'.format(exp_dir));\n", |
| "\n", |
| " logging.info('------------------------')\n", |
| " logging.info('Run workload using %s governor', governor)\n", |
| " confs[governor]['set']()\n", |
| "\n", |
| " ### Run the benchmark ###\n", |
| " score_file = pcmark_run(exp_dir)\n", |
| " \n", |
| " # Save the score as a dictionary\n", |
| " scores = dict()\n", |
| " with open(score_file, 'r') as f:\n", |
| " lines = f.readlines()\n", |
| " for l in lines:\n", |
| " info = l.split()\n", |
| " scores.update({info[0] : float(info[1])})\n", |
| " \n", |
| " # return all the experiment data\n", |
| " return {\n", |
| " 'dir' : exp_dir,\n", |
| " 'scores' : scores,\n", |
| " }" |
| ] |
| }, |
| { |
| "cell_type": "markdown", |
| "metadata": {}, |
| "source": [ |
| "## Run PCMark and collect scores" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 11, |
| "metadata": { |
| "collapsed": false, |
| "scrolled": true |
| }, |
| "outputs": [ |
| { |
| "name": "stderr", |
| "output_type": "stream", |
| "text": [ |
| "2016-12-08 17:14:43,080 INFO : root : ------------------------\n", |
| "2016-12-08 17:14:43,081 INFO : root : Run workload using performance governor\n", |
| "2016-12-08 17:24:50,386 INFO : root : ------------------------\n", |
| "2016-12-08 17:24:50,387 INFO : root : Run workload using interactive governor\n" |
| ] |
| } |
| ], |
| "source": [ |
| "# Run the benchmark in all the configured governors\n", |
| "for governor in confs:\n", |
| " test_dir = os.path.join(te.res_dir, governor)\n", |
| " res = experiment(governor, test_dir)\n", |
| " results[governor] = copy.deepcopy(res)" |
| ] |
| }, |
| { |
| "cell_type": "markdown", |
| "metadata": { |
| "collapsed": false |
| }, |
| "source": [ |
| "After running the benchmark for the specified governors we can show and plot the scores:" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 12, |
| "metadata": { |
| "collapsed": false |
| }, |
| "outputs": [ |
| { |
| "data": { |
| "text/html": [ |
| "<div>\n", |
| "<table border=\"1\" class=\"dataframe\">\n", |
| " <thead>\n", |
| " <tr style=\"text-align: right;\">\n", |
| " <th></th>\n", |
| " <th>interactive</th>\n", |
| " <th>performance</th>\n", |
| " </tr>\n", |
| " </thead>\n", |
| " <tbody>\n", |
| " <tr>\n", |
| " <th>PCMA_DATA_MANIPULATION_SCORE</th>\n", |
| " <td>4264.355319</td>\n", |
| " <td>4260.128135</td>\n", |
| " </tr>\n", |
| " <tr>\n", |
| " <th>PCMA_PHOTO_EDITING_V2_SCORE</th>\n", |
| " <td>16853.979140</td>\n", |
| " <td>16422.056987</td>\n", |
| " </tr>\n", |
| " <tr>\n", |
| " <th>PCMA_VIDEO_EDITING_SCORE</th>\n", |
| " <td>6281.320705</td>\n", |
| " <td>6314.691918</td>\n", |
| " </tr>\n", |
| " <tr>\n", |
| " <th>PCMA_WEB_V2_SCORE</th>\n", |
| " <td>5513.358130</td>\n", |
| " <td>5610.058655</td>\n", |
| " </tr>\n", |
| " <tr>\n", |
| " <th>PCMA_WORK_V2_SCORE</th>\n", |
| " <td>6803.354647</td>\n", |
| " <td>6790.043529</td>\n", |
| " </tr>\n", |
| " <tr>\n", |
| " <th>PCMA_WRITING_V2_SCORE</th>\n", |
| " <td>5855.885077</td>\n", |
| " <td>5823.619700</td>\n", |
| " </tr>\n", |
| " </tbody>\n", |
| "</table>\n", |
| "</div>" |
| ], |
| "text/plain": [ |
| " interactive performance\n", |
| "PCMA_DATA_MANIPULATION_SCORE 4264.355319 4260.128135\n", |
| "PCMA_PHOTO_EDITING_V2_SCORE 16853.979140 16422.056987\n", |
| "PCMA_VIDEO_EDITING_SCORE 6281.320705 6314.691918\n", |
| "PCMA_WEB_V2_SCORE 5513.358130 5610.058655\n", |
| "PCMA_WORK_V2_SCORE 6803.354647 6790.043529\n", |
| "PCMA_WRITING_V2_SCORE 5855.885077 5823.619700" |
| ] |
| }, |
| "execution_count": 12, |
| "metadata": {}, |
| "output_type": "execute_result" |
| } |
| ], |
| "source": [ |
| "# Create results DataFrame\n", |
| "data = {}\n", |
| "for governor in confs:\n", |
| " data[governor] = {}\n", |
| " for score_name, score in results[governor]['scores'].iteritems():\n", |
| " data[governor][score_name] = score\n", |
| "\n", |
| "df = pd.DataFrame.from_dict(data)\n", |
| "df" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": 13, |
| "metadata": { |
| "collapsed": false |
| }, |
| "outputs": [ |
| { |
| "data": { |
| "image/png": 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fv3507dqVv/zlL/Tu3ZuCggLOPfdcPvjgA3Jzc7npppuYNGkS7du3p3HjxvTr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\nYSMAAAAAMAlhIwAAAAAwCWEjAAAAADA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O2xsXfG2Fzeb+jWvHdy6UPaDRPg5r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DidBEk2be034Kh+tw557hgCLiCrqOqs31VIgHFLkjU8SFaQnFMddyWV1NnfkvTT/hvHlaQxdx6Z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\nCrtptb0Cs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|
| "text/plain": [ |
| "<matplotlib.figure.Figure at 0x7f9af7a71b10>" |
| ] |
| }, |
| "metadata": {}, |
| "output_type": "display_data" |
| } |
| ], |
| "source": [ |
| "df.plot(kind='bar', rot=45, figsize=(16,8),\n", |
| " title='PCMark scores vs SchedFreq governors');" |
| ] |
| } |
| ], |
| "metadata": { |
| "kernelspec": { |
| "display_name": "Python 2", |
| "language": "python", |
| "name": "python2" |
| }, |
| "language_info": { |
| "codemirror_mode": { |
| "name": "ipython", |
| "version": 2 |
| }, |
| "file_extension": ".py", |
| "mimetype": "text/x-python", |
| "name": "python", |
| "nbconvert_exporter": "python", |
| "pygments_lexer": "ipython2", |
| "version": "2.7.6" |
| }, |
| "toc": { |
| "toc_cell": false, |
| "toc_number_sections": true, |
| "toc_threshold": 6, |
| "toc_window_display": false |
| } |
| }, |
| "nbformat": 4, |
| "nbformat_minor": 0 |
| } |